Vector database (text data) + data return by AI
Step 1Vector database where text data will be inserted per user (1 user = 300-600 portions of text with an average length of 1 paragraph each portion of text).The database should be tailored to add and support new users.Step 2 Then this database will be rejected by the AI tool (AI agent) that allows the database to be embedded in a natural language.The task of the so-calledAI agent, will return from the database certain strictly defined elements of the text such as: sentences and paragraphs that meet the specified criteria.The data will be returned from the database in a set of 300-600 portions of text per 1 user - return me the text elements (things or paragraphs) that meet the criteria "XYZ".Step 3 The result (output, i.e. extracted sentences or paragraphs) per user will be returned (transmitted) to another database for further processing.Additional information: You will need to build the infrastructure under the entire mechanism.My preferred method of project execution is the llamaindex platform or Langchain framework + using the appropriate agent to extract data.However, I am here open to any suggestions and I am not closed to different solutions.In the event of uncertainty/question, I am available.
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5 days161 USD
920 13 0 5 days161 USDHi.
Happy to help you out.
I have a lot of experience in web development and some in working with ChatGPT.
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