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agenticrag

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A comprehensive framework to create, test, and benchmark Retrieval-Augmented Generation (RAG) pipelines, supporting multiple architectures (e.g., Graph RAG and Agentic RAG), document splitters, embedding models, vectorstores, retrievers, rerankers, and LLM providers, with an interactive Gradio UI and experiment logging.

  • Updated Sep 24, 2025
  • Jupyter Notebook

This project is a multi-agent system for stock analysis, built using the Google AI SDK (assumed to be Google ADK) and the Alpha Vantage API. It processes stock-related queries through five modular sub-agents, supporting both natural language and structured inputs. The system provides insights into stock price movements, recent news, and analysis.

  • Updated May 26, 2025
  • Python

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