Agentic Knowledge System
This project demonstrates a robust architecture for deploying autonomous agents that can:
- Retrieve Information: Efficiently query vector databases for semantic search.
- Reason: Use chain-of-thought prompting to synthesize answers from multiple sources.
- Act: Execute tools to fetch real-time data or perform calculations.
Key Features
- Multi-Agent Orchestration: Uses a supervisor agent to delegate sub-tasks to specialized worker agents.
- Dynamic Tool Selection: Agents can choose from a suite of tools based on the user query.
- Self-Correction: Implements a feedback loop where agents can critique and refine their own outputs.
Technology Stack
- Framework: LangChain & LangGraph
- Vector DB: Pinecone
- LLM: GPT-4-turbo / Claude 3 Opus
- Backend: FastAPI