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RAG LLM Agent architecture for answering company related questions based on the information provided by the company

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AI Assistant Project

This is the project we made in Kuika AI Hackathon as Finetuners team.

Agents

The project includes the following agents to handle specific types of queries:

  1. Context Decider Agent:

    • Decides which department (agent) should handle the user's query.
    • Utilizes langchain.prompts and ChatOpenAI.
  2. Code Analysis Agent:

    • Analyzes Python code files and answers code-related questions.
    • Uses the OpenAI API for code analysis.
  3. Document Agent:

    • Processes and analyzes various document types (PDF, DOCX, PPTX).
    • Extracts and summarizes content from documents.
  4. Database Agent:

    • Executes SQL queries on a SQLite database.
    • Provides explanations for query results.

UI

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Presentation

FineTuners-1_page-0001 FineTuners-1_page-0002 FineTuners-1_page-0003 FineTuners-1_page-0004 FineTuners-1_page-0005 FineTuners-1_page-0006 FineTuners-1_page-0007

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RAG LLM Agent architecture for answering company related questions based on the information provided by the company

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