Agentic rag

[patchy631]

Summary by CodeRabbit

Release Notes

• New Features

  • Added environment configuration template for API integrations
  • Implemented local Agentic RAG system with Llama 3.2
  • Enhanced chat interface with incremental response rendering

• Documentation

  • Created Jupyter notebook demonstrating AI agent workflow
  • Added example environment variable configurations

• Improvements

  • Introduced typing effect in chat response generation
  • Configured retrieval and response synthesis agents
  • Implemented document and web search tools

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

The pull request introduces enhancements to the Agentic RAG project, focusing on environment configuration, chat interface improvements, and a new local Llama 3.2 implementation. A new .env.example file provides template environment variables for API integrations. The app.py is updated with a more interactive chat response mechanism that simulates typing. A comprehensive Jupyter notebook (demo_llama3.2.ipynb) demonstrates a local RAG system with custom agents, tools, and a sequential processing workflow for information retrieval and response synthesis.

Changes

File	Change Summary
agentic_rag/.env.example	Added environment variable placeholders for MODEL, OPENAI_API_KEY, SERPER_API_KEY, and FIRECRAWL_API_KEY
agentic_rag/app.py	Imported time module, modified chat interface to display responses incrementally with a typing effect
agentic_rag/demo_llama3.2.ipynb	Added Jupyter notebook implementing local Agentic RAG with Llama 3.2, including custom agents, tools, and crew processing

Sequence Diagram

sequenceDiagram
    participant User
    participant RetrievalAgent
    participant WebSearchTool
    participant DocumentSearchTool
    participant ResponseAgent

    User->>RetrievalAgent: Query
    RetrievalAgent->>DocumentSearchTool: Search PDF
    DocumentSearchTool-->>RetrievalAgent: Retrieve Info
    alt Info Not Found
        RetrievalAgent->>WebSearchTool: Web Search
        WebSearchTool-->>RetrievalAgent: Retrieve Web Info
    end
    RetrievalAgent->>ResponseAgent: Pass Retrieved Info
    ResponseAgent->>User: Synthesized Response

Loading

Poem

🐰 A Rabbit's Ode to Agentic RAG 🔍

With keys and tools, our agents dance,
Through PDFs and web's expanse,
Llama leaps with knowledge bright,
Typing magic, pure delight!
RAG's adventure, swift and clear! 🚀

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Review profile: CHILL
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📥 Commits

Reviewing files that changed from the base of the PR and between 5be20b8 and 8adb7c4.

📒 Files selected for processing (3)

• agentic_rag/.env.example (1 hunks)
• agentic_rag/app.py (3 hunks)
• agentic_rag/demo_llama3.2.ipynb (1 hunks)

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