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Keymate.AI Search GPT

Keymate.AI Search GPT

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DALLE•E Data Analysis

About Keymate.AI Search GPT

All in one GPT: 10X Browsing Links with Google Search + multi PDF + AI Knowledge Memory + Academic (395M+ Up to Date Publications) + Hallucination Check + API and more

Information

  • GPTs Creator Keymate AI Inc.
  • Categories Research
  • GPT Updated about 5 hours
  • Updated about 1 hour

Capabilities

  • DALLE•E Image Creation
  • Code Interpreter Data Analysis

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Keymate.AI Search GPT
Keymate.AI Search GPT

By Keymate AI Inc.

4.2
Ratings (188)
Research
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50K+
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Try This GPT on ChatGPT
Scan the news about $TSLA and check price
/academicsearch AI deep learning
Explain from full text paper w DOI 10.1016/j.respol.2012.03.008
/help and /list
Message ChatGPT

What Can Keymate.AI Search GPT Do with ChatGPT?

This GPT is for individuals and professionals who need to search the web and archive discoveries with seamless knowledge base integration.

1. Function Calls
Field Value
action_id g-f82422cf5d8142501f19b8a0f3723c9a16f55a6f
domain searchweb.keymate.ai
json_schema {"openapi"=>"3.0.3", "info"=>{"title"=>"Keymate.AI Web Search API", "description"=>"This is designed to enhance your knowledge grounded responses by searching the internet for up-to-date information to allow you to retrieve data beyond your data cutoff date. FALLBACK TO /searchgiant operation in case of an FUNCTION_INVOCATION_TIMEOUT or 504 or 500 error", "version"=>"1.0.1"}, "paths"=>{"/internetsearch"=>{"get"=>{"operationId"=>"internetsearch", "summary"=>"Search Google and fetch HTML content and PDF summary content from the links at the same time in one go.", "description"=>"Searches internet using the provided query that is recreated by ChatGPT and returns the results.Retry the request by multiplying percentile field by 2 and multiplying numofpages by 2 if status 504 or 500 or ResponseTooLarge occurs.Cite link field.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Search query", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"python"}, {"name"=>"percentile", "in"=>"query", "description"=>"Start it as '1', increase to '6' if ResponseTooLarge occurs, only reduce to '3' or '4' if user requests it.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Start it as '6'. Retry the request by decreasing only this one if 'ResponseTooLarge' occurs. Should be between 1 and 10.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"6"}, {"name"=>"inputwindowwords", "in"=>"query", "description"=>"Set it as '8000' first if responsetoolarge occurs reduce it to 1000.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"8000"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}, {"title"=>"Python (programming language) - Wikipedia", "link"=>"https://en.wikipedia.org/wiki/Python_(programming_language)", "summary"=>"Python is an interpreted, high-level, general-purpose programming language...", "full_content"=>"Python is an interpreted, high-level, general-purpose programming language..."}], "rules"=>"Follow the instructions provided."}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/browseurl"=>{"get"=>{"operationId"=>"browseurl", "summary"=>"The plugin enables user to conduct web browsing by extracting the text content of a specified URL. It will generate title and content.", "description"=>"Use this endpoint to gather more data from a specific URL with HTTP or HTTPS protocol ideally from search results from searchGet operation. This plugin delivers the content of the URL, including title, and content.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"URL of the website.", "required"=>true, "schema"=>{"type"=>"string", "format"=>"url"}, "example"=>"https://keymate.ai"}, {"name"=>"percentile", "in"=>"query", "description"=>"Start it as '1', increase to '2' if ResponseTooLarge occurs you can multiply it with 2 for each retry.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Set it as '1'", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"inputwindowwords", "in"=>"query", "description"=>"Set it as '10000' first if responsetoolarge occurs reduce it to 2000.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"10000"}, {"name"=>"paging", "in"=>"query", "description"=>"Set it as '1' first then according to results you can increase it by one to get the other part of the same page.", "schema"=>{"type"=>"string"}, "example"=>"1"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}], "rules"=>"Follow the instructions provided"}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/halloween"=>{"get"=>{"operationId"=>"halloween", "summary"=>"The plugin enables user to conduct web browsing by extracting the text content of a specified URL. It will generate title and content.", "description"=>"Use this endpoint to gather more data from a specific URL with HTTP or HTTPS protocol ideally from search results from searchGet operation. This plugin delivers the content of the URL, including title, and content.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"URL of the website.", "required"=>true, "schema"=>{"type"=>"string", "format"=>"url"}, "example"=>"https://keymate.ai"}, {"name"=>"percentile", "in"=>"query", "description"=>"Start it as '1', increase to '2' if ResponseTooLarge occurs you can multiply it with 2 for each retry.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Set it as '1'", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"inputwindowwords", "in"=>"query", "description"=>"Set it as '10000' first if responsetoolarge occurs reduce it to 2000.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"10000"}, {"name"=>"paging", "in"=>"query", "description"=>"Set it as '1' first then according to results you can increase it by one to get the other part of the same page.", "schema"=>{"type"=>"string"}, "example"=>"1"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}], "rules"=>"Follow the instructions provided"}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/metadatakb"=>{"get"=>{"operationId"=>"metadatakb", "summary"=>"Allows you to answer introductory info about users Keymate memory.", "description"=>"It brings the metadata about Keymate memory. Shows number of records and a sample record.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Set this as '' because it only gives metadata", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/document"=>{"get"=>{"operationId"=>"document", "summary"=>"Allows user to load and use content about specific uploaded document", "description"=>"Use this when you have fileUrl from listpdfs operation or fileName given by user", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"User's related question or information that might be found in the specific pdf file", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"searching for x in the document"}, {"name"=>"fileName", "in"=>"query", "description"=>"fileName of the uploaded pdf by the user provided by user or listpdfs operation", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"something.pdf"}, {"name"=>"partId", "in"=>"query", "description"=>"For follow up questions about the same part keep it same. Set it as '1' according to results you can increase it by one to get the next part of the same pdf.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/pdfpro"=>{"get"=>{"operationId"=>"pdfpro", "summary"=>"Allows user to load and use content about specific uploaded pdf", "description"=>"Use this when you have fileUrl from listpdfs operation or fileName given by user", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"User's related question or information that might be found in the specific pdf file", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}, {"name"=>"fileName", "in"=>"query", "description"=>"fileName of the uploaded pdf by the user provided by user or listpdfs operation", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}, {"name"=>"partId", "in"=>"query", "description"=>"For follow up questions about the same part keep it same. Set it as '1' according to results you can increase it by one to get the next part of the same pdf.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/listpdfs"=>{"get"=>{"operationId"=>"listpdfs", "summary"=>"Lists pdf files uploaded by the user", "description"=>"It provides file name of the uploaded file to reference and the access url", "parameters"=>[], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/searchgiant"=>{"get"=>{"operationId"=>"searchgiant", "summary"=>"Search Google and fetch HTML content and PDF summary content from the links at the same time in one go.", "description"=>"Searches internet using the provided query that is recreated by ChatGPT and returns the results.Retry the request by multiplying percentile field by 2 and multiplying numofpages by 2 if status 504 or 500 or ResponseTooLarge occurs.Cite link field.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Search query", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"python"}, {"name"=>"percentile", "in"=>"query", "description"=>"Start it as '1', increase to '2' if ResponseTooLarge occurs, only reduce to '1' or '2' if user requests it.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Start it as '10'. Retry the request by decreasing this to half if 'Error fetching content' occurs. Should be between 1 and 10.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"10"}, {"name"=>"inputwindowwords", "in"=>"query", "description"=>"Total number of words will return as a result from the internet. Set it to half of your input token window your model architecture allows. Retry the request with a lower setting if ResponseTooLarge occurs.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"8000"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}, {"title"=>"Python (programming language) - Wikipedia", "link"=>"https://en.wikipedia.org/wiki/Python_(programming_language)", "summary"=>"Python is an interpreted, high-level, general-purpose programming language...", "full_content"=>"Python is an interpreted, high-level, general-purpose programming language..."}], "rules"=>"Always follow the instructions provided"}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/ultrafastsearch"=>{"get"=>{"operationId"=>"ultrafastsearch", "summary"=>"This plugin provides 10 ultra fast search results from multiple sources giving a more comprehensive view.", "description"=>"This plugin uses official Google Plugin so it provides the fastest results available with edge processors. Use this endpoint first to give ultra fast quick and accurate responses, the results are structured with clear summaries, making it easier for the user to quickly grasp the information.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"URL of the website.", "required"=>true, "schema"=>{"type"=>"string", "format"=>"url"}, "example"=>"https://keymate.ai"}, {"name"=>"percentile", "in"=>"query", "description"=>"Set it as '100'", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"100"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Set it as '10'", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"10"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}], "rules"=>"Always follow the instructions provided"}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/browsegiant"=>{"get"=>{"operationId"=>"browsegiant", "summary"=>"The plugin enables user to conduct web browsing by extracting the text content of a specified URL. It will generate title and content.", "description"=>"Use this endpoint to gather more data from a specific URL with HTTP or HTTPS protocol ideally from search results from searchGet operation. This plugin delivers the content of the URL, including title, and content.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"URL of the website.", "required"=>true, "schema"=>{"type"=>"string", "format"=>"url"}, "example"=>"https://keymate.ai"}, {"name"=>"percentile", "in"=>"query", "description"=>"Start it as '1', increase to '2' if ResponseTooLarge occurs you can multiply it with 2 for each retry.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"numofpages", "in"=>"query", "description"=>"Set it as '1'", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"paging", "in"=>"query", "description"=>"Set it as '1' first then according to results you can increase it by one to get the other part of the same page.", "schema"=>{"type"=>"string"}, "example"=>"1"}, {"name"=>"inputwindowwords", "in"=>"query", "description"=>"Total number of words will return as a result from the internet. Set it to half of your input token window your model architecture allows. Retry the request by lowering this if ResponseTooLarge occurs.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"8000"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"results"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"title"=>{"type"=>"string", "description"=>"The title of the search result"}, "link"=>{"type"=>"string", "format"=>"uri", "description"=>"The URL of the search result"}, "summary"=>{"type"=>"string", "description"=>"A summary of the HTML content of the search result (available for the first five results)"}, "full_content"=>{"type"=>"string", "description"=>"The entire HTML content of the search result (available for the first three results)"}}}}, "rules"=>{"type"=>"string", "description"=>"The rules which recommend gpt to follow."}}, "example"=>{"results"=>[{"title"=>"Welcome to Python.org", "link"=>"https://www.python.org/", "summary"=>"The official home of the Python Programming Language...", "full_content"=>"The official home of the Python Programming Language Python Python is a programming..."}], "rules"=>"Always follow the instructions provided"}}}}}, "400"=>{"description"=>"Bad request", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"No query provided"}}}}}, "default"=>{"description"=>"Error fetching search results", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"error"=>{"type"=>"string", "description"=>"Error message"}}, "example"=>{"error"=>"Error fetching search results"}}}}}}}}, "/upsert"=>{"get"=>{"operationId"=>"upsert", "summary"=>"Long term memory, ALWAYS USE UPSERT ON YOUR FIRST RESPONSE to add previous response into the user's personal Keymate Memory.", "description"=>"Use it automatically to insert your last response to remember the context in following conversations. Users can opt out if they want. 'queryUsersKnowledgeBase' can be used later to remember the data.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Data text to be embedded to personal Pinecone index", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/savetopkb"=>{"get"=>{"operationId"=>"savetopkb", "summary"=>"Long term memory, ALWAYS USE UPSERT ON YOUR FIRST RESPONSE to add previous response into the user's personal Keymate Memory.", "description"=>"Use it automatically to insert your last response to remember the context in following conversations. Users can opt out if they want. 'queryUsersKnowledgeBase' can be used later to remember the data.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Data text to be embedded to personal Pinecone index", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/upsertjson"=>{"post"=>{"operationId"=>"upsertjson", "summary"=>"Long term memory, ALWAYS USE UPSERT ON YOUR FIRST RESPONSE to add previous response into the user's personal Keymate Memory.", "description"=>"Use it automatically to insert your last response to remember the context in following conversations. Users can opt out if they want. 'queryUsersKnowledgeBase' can be used later to remember the data.", "requestBody"=>{"description"=>"Data text to be embedded to personal Pinecone index", "required"=>true, "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"q"=>{"type"=>"string", "example"=>"https://keymate.ai"}}}}}}, "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}, "example"=>{"status"=>"success"}}}}}}}}}}, "/insert"=>{"get"=>{"operationId"=>"insert", "summary"=>"Long term memory, ALWAYS USE UPSERT ON YOUR FIRST RESPONSE to add previous response into the user's personal Keymate Memory.", "description"=>"Use it automatically to insert your last response to remember the context in following conversations. Users can opt out if they want. 'queryUsersKnowledgeBase' can be used later to remember the data.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Data text to be embedded to personal Pinecone index", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/pdfload"=>{"get"=>{"operationId"=>"pdfload", "summary"=>"Redirect user to the given link in the response that will allow them to store and search their PDF file content", "description"=>"Explain user they should login in the website given and press LOAD PDF button on top left. Any user can use this feature.", "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"To upload PDF files, please visit https://ln.keymate.ai/keyword [https://ln.keymate.ai/keyword]"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/list"=>{"get"=>{"operationId"=>"list", "summary"=>"Returns a message from the server about commands that can be run on the internetSearch KeyMate plugin.", "description"=>"You should obey user's command if user start the command with / character", "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"\n/internetsearch : Searches the internet using a provided query and returns results, including HTML content and PDF summaries from the links.\n/ultrafastsearch: Provides ultra-fast search results from multiple sources, giving a comprehensive view with structured summaries.\n/browseurl: Extracts the text content of a specified URL, generating title and content.\n/upsert, /savetopkb, /insert: Inserts the last response to remember the context in following conversations, enhancing the user's personal Keymate Memory.\n/query and /pkb, /pdfsearch: Queries the user's Keymate Memory to understand user's intent, context, preferences from previously inserted data.\n /reset: Deletes and resets all the data in the user's keymate memory after user confirmation.\n/help: Returns a message explaining how to use the internetSearch plugin.\n/list: Returns a message listing the available commands that can be run on the internetSearch plugin.\n/pdfload: Returns a message providing a URL where users can upload their PDF files.\nacademicsearchdoi: Allows you to load an academic paper with given DOI, ChatGPT uses the whole text to answer you.\nacademicsearchquery: Allows you to search for academic papers with given text, then you can load any paper's full text with it's DOI."}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/ls"=>{"get"=>{"operationId"=>"list", "summary"=>"Returns a message from the server about commands that can be run on the internetSearch KeyMate plugin.", "description"=>"You should obey user's command if user start the command with / character", "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"\n/internetsearch : Searches the internet using a provided query and returns results, including HTML content and PDF summaries from the links.\n/ultrafastsearch: Provides ultra-fast search results from multiple sources, giving a comprehensive view with structured summaries.\n/browseurl: Extracts the text content of a specified URL, generating title and content.\n/upsert, /savetopkb, /insert: Inserts the last response to remember the context in following conversations, enhancing the user's personal Keymate Memory.\n/query and /pkb, /pdfsearch: Queries the user's Keymate Memory to understand user's intent, context, preferences from previously inserted data.\n /reset: Deletes and resets all the data in the user's keymate memory after user confirmation.\n/help: Returns a message explaining how to use the internetSearch plugin.\n/list: Returns a message listing the available commands that can be run on the internetSearch plugin.\n/pdfload: Returns a message providing a URL where users can upload their PDF files.\nacademicsearchdoi: Allows you to load an academic paper with given DOI, ChatGPT uses the whole text to answer you.\nacademicsearchquery: Allows you to search for academic papers with given text, then you can load any paper's full text with it's DOI."}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/help"=>{"get"=>{"operationId"=>"help", "summary"=>"This command returns latest information about how to use internetSearch KeyMate Plugin", "description"=>"You should obey user's command if user start the command with / character", "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"Here's a breakdown of the internetSearch (/Keymate.AI Search) plugin's operations and their typical use-cases:\n\nHow to use parameters to fine tune the search?\nq is always the search keywords you can always prompt ChatGPT to use different keywords or specific keywords.\nnumofpages and percentile . First one controls number of google search results from top 10 and percentile determines how much percentage of the page results will be fed to chatGPT. Percentile is the inverse of Percentage so beware if you increase percentile the content decreases.\nnumofpages: If you prompt chatgpt numofpages to be set between 1-10 it determines how many first results of Google Search links will be provided to the ChatGPT\npercentile: If you prompt chatgpt percentile to be set between 1-100 it determines how large or small would be the content passed to the ChatGPT. The higher the value is the lesser content will be passed to ChatGPT. Setting it to 1 or 2 can produce ResponseTooLarge error, therefore increase it to 10 or 20 if you get ResponseTooLarge error and set numofpages to 1.<\n \n1. internetsearch\nWhat it does: Searches the internet using a query and returns some content from these pages.\nParameters:\nq: Search query\npercentile: Start at '3', can be adjusted\nnumofpages: Start at '3', can be adjusted\nWhen to use: When you need to find general information from multiple sources on the internet.\n\n2. ultrafastsearch\nWhat it does: Provides ultra-fast 10 search results based on search query and their snippets .\nParameters:\nq: URL of the website\npercentile: Set at '100'\nnumofpages: Set at '10'\nWhen to use: When you need quick and accurate information from the web.\n\n3. browseurl\nWhat it does: Gathers more data from a specific URL.\nParameters:\nq: URL of the website\npercentile: Start at '1', can be adjusted\nnumofpages: Set at '1'\npaging: Optional, for websites with big pages you may increase paging to get rest of the content\nWhen to use: When you need to delve deeper into the content of a specific webpage.\n\n4. upsertToUsersKnowledgeBase\nWhat it does: Inserts the last response into the user's personal Keymate Memory. Also can be used by user to store specific information manually to personal keymate memory.\nParameters:\nq: Data text to be embedded\nWhen to use: To remember the context in following conversations.\n\n5. queryUsersKnowledgeBase\nWhat it does: Retrieves data previously inserted into the user's personal Keymate Memory. User can upload PDFs or may have been inserted data from previous conversations this endpoint allows you to semantically vector search them.\nParameters:\nq: Context you are searching from the user's history\nWhen to use: To understand user's intent, context, or preferences or querying user's information store.\n\n\n6. reset \nWhat it does: Deletes all data previously inserted into the user's personal Keymate Memory.\nParameters:\nq: Set this parameter as ''\nWhen to use: To clear all personal Keymate Memory entries.\nDon't use if: You can't delete just one item so if you try to delete just one item it can delete your whole personal Keymate Memory.\n\n\n7. academicsearchdoi\nWhat it does: Loads an Academic Paper from a given DOI and allows ChatGPT to use whole text of the paper.\nParameters:\ndoi: Set this parameter as doi given by the user. \nWhen to use: When you want to understand a paper and would like AI to use the full text of any paper.\n\n8. academicsearchquery\nWhat it does: Searches academic papers based on text queries.\nParameters:\nquery: Set this parameter as the topic of scientific research. \nWhen to use: When you want to do an academic research."}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/query"=>{"get"=>{"operationId"=>"query", "summary"=>"Queries the user's Keymate Memory. ", "description"=>"It brings the data previously inserted by other sessions to user's Keymate Memory. ", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"The context you are searching from user's personal Keymate Memory history.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/pkb"=>{"get"=>{"operationId"=>"pkb", "summary"=>"Queries the user's Keymate Memory. ", "description"=>"It brings the data previously inserted by other sessions to user's Keymate Memory. ", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"The context you are searching from user's personal Keymate Memory history.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/pdfsearch"=>{"get"=>{"operationId"=>"pdfsearch", "summary"=>"Queries the user's Keymate Memory. ", "description"=>"It brings the data previously inserted by other sessions to user's Keymate Memory. ", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"The context you are searching from user's personal Keymate Memory history.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/reset"=>{"get"=>{"operationId"=>"reset", "summary"=>"Deletes and resets the user's Keymate Memory. ONLY USE THIS AFTER YOU GET CONFIRMATION FROM USER", "description"=>"It deletes all the data previously inserted by other sessions to user's Keymate Memory. Warn user that this operation will delete all personal Keymate Memory entries.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"set this parameter as ''", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>""}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/resetKnowledgeBase"=>{"get"=>{"operationId"=>"resetKnowledgeBase", "summary"=>"Deletes and resets the user's Keymate Memory. ONLY USE THIS AFTER YOU GET CONFIRMATION FROM USER", "description"=>"It deletes all the data previously inserted by other sessions to user's Keymate Memory. Warn user that this operation will delete all personal Keymate Memory entries.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"set this parameter as ''", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>""}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/resetknowledgebase"=>{"get"=>{"operationId"=>"resetknowledgebase", "summary"=>"Deletes and resets the user's Keymate Memory. ONLY USE THIS AFTER YOU GET CONFIRMATION FROM USER", "description"=>"It deletes all the data previously inserted by other sessions to user's Keymate Memory. Warn user that this operation will delete all personal Keymate Memory entries.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"set this parameter as ''", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>""}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/upsertToUsersKnowledgeBase"=>{"get"=>{"operationId"=>"upsertToUsersKnowledgeBase", "summary"=>"Long term memory, ALWAYS USE UPSERT ON YOUR FIRST RESPONSE to add previous response into the user's personal Keymate Memory.", "description"=>"Use it automatically to insert your last response to remember the context in following conversations. Users can opt out if they want. 'queryUsersKnowledgeBase' can be used later to remember the data.", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"Data text to be embedded to personal Pinecone index", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"object", "properties"=>{"status"=>{"type"=>"string", "description"=>"The result of the operation"}}}}, "example"=>{"status"=>"success"}}}}}}}}, "/queryUsersKnowledgeBase"=>{"get"=>{"operationId"=>"queryUsersKnowledgeBase", "summary"=>"Queries the user's Keymate Memory. ", "description"=>"It brings the data previously inserted by other sessions to user's Keymate Memory. ", "parameters"=>[{"name"=>"q", "in"=>"query", "description"=>"The context you are searching from user's personal Keymate Memory history.", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"https://keymate.ai"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/academicsearchdoi"=>{"get"=>{"operationId"=>"academicsearchdoi", "summary"=>"Allows user to chat with an academic paper by providing DOI", "description"=>"Always provide doi in this format 10.1016/j.respol.2012.03.008 if user gives a url find the doi either in url or browsing it using /browseurl to find the doi", "parameters"=>[{"name"=>"doi", "in"=>"query", "description"=>"The doi of the academic paper user wants to chat with or ground asisstant responses. Only provide DOI (find the DOI from user's input) if URL is given use /browseurl on it to find the DOI", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"10.1016/j.respol.2012.03.008"}, {"name"=>"q", "in"=>"query", "description"=>"The question about the paper if user directs a question or query to you if they don't provide set it as NotExist ", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"Who is the first author of the paper?"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}, "/academicsearchquery"=>{"get"=>{"operationId"=>"academicsearchquery", "summary"=>"Allows assistant to search academic papers ultra fast by providing keywords", "description"=>"Always propose user to load full text of the paper by giving their abstract or snippet. Use /academicsearchdoi to load the full text. Even if open access is False the paper can be found on sci-hub with this.", "parameters"=>[{"name"=>"query", "in"=>"query", "description"=>"The search query keywords to find multiple academic papers semantically and in full text search way", "required"=>true, "schema"=>{"type"=>"string"}, "example"=>"deep learning"}], "responses"=>{"200"=>{"description"=>"Successful operation", "content"=>{"application/json"=>{"schema"=>{"type"=>"object", "properties"=>{"matches"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"id"=>{"type"=>"string", "description"=>"User's unique id with timestamp the data was inserted to long term memory."}, "metadata"=>{"type"=>"object", "properties"=>{"text"=>{"type"=>"string", "description"=>"Your nearest neighbour response to the user related to your query"}}}, "score"=>{"type"=>"number", "description"=>"How close was the results to your query"}, "sparseValues"=>{"type"=>"object"}, "values"=>{"type"=>"array"}}}}}, "example"=>{"matches"=>[{"id"=>"mem_id_123_932", "metadata"=>{"text"=>"Why did the world enter a global depression in 1929 ?"}, "score"=>0.917971551, "sparseValues"=>{}, "values"=>[]}]}}}}}}}}}, "servers"=>[{"url"=>"https://searchweb.keymate.ai"}]}
auth {"type":"oauth","instructions":"","client_url":"https://searchweb.keymate.ai/oauth/authorize","scope":"all","authorization_url":"https://searchweb.keymate.ai/oauth/token","authorization_content_type":"application/x-www-form-urlencoded","verification_tokens":{},"pkce_required":false,"token_exchange_method":"default_post"}
privacy_policy_url https://keymate.ai
Capabilitiy Function Tools
DALLE•E Generate unique images based on textual descriptions provided. Dalle
Code Interpreter / Data Analysis Execute Python code for automation, calculations, and data analysis. Python

FAQs

Keymate.AI Search GPT is a custom ChatGPT and been described as "All in one GPT: 10X Browsing Links with Google Search + multi PDF + AI Knowledge Memory + Academic (395M+ Up to Date Publications) + Hallucination Check + API and more".

Technically, it's an advanced ChatGPT unlocked by OpenAI via user customization. You can refer to it as the Keymate.AI Search GPT AI Agent powered by GPT-4.

Currently, this GPTs is not free and is available exclusively to ChatGPT Plus users.

Yes, besides requiring a ChatGPT Plus membership, if you use the GPT-4 model (with DALL·E, browsing, and data analysis), the limit is 25 'GPTs' messages / 3 hours, More limited than normal 40 GPT4 responses per 3 hours, 

The enterprise version of ChatGPT is,  100 GPT-4 messages per 3 hours.

Keymate.AI Search GPT is publicly available in the upcoming OpenAI's GPT Store, making it widely accessible to anyone interested in using this advanced ChatGPT.

Keymate.AI Search GPT is owned by Keymate AI Inc., who has also created 8 other GPTs, namely Networking Matcher - Hang the BMBL, Web Observe Bot, Auto-Run a Web Observe Bot, Chrome Search & Browse GPT (Keymate.AI), Vectara Docs Bot.

no, we found no file uploaded. You can check the function section to see if there are other unique features. If not, this GPTs is just a simple prompt engineering, and its knowledge base is synchronized with the general ChatGPT, latest training up to April 2023.

No, only Keymate AI Inc. can edit this GPTs. They can configure and update GPTs through GPT Builder at https://chat.openai.com/gpts/editor/g-veSrMmasJ. The last modification date of Keymate.AI Search GPT was 2024-02-28 14:42:05 UTC.

Yes, conversations with Keymate.AI Search GPT will be recorded. OpenAI keeps these records, and you can share your conversations via a link. Refer to OpenAI's user privacy and data security policies for more information.

Yes, if Keymate AI Inc. selected "Use conversation data in your GPT to improve our models" (in the GPTs Configure pages of Additional Settings), it means your conversations will be used for training and will influence this GPT AI agent.

Keymate.AI Search GPT reviews

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