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rag-pipeline

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RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.

  • Updated Feb 14, 2025
  • Jupyter Notebook

This research aims to develop an AI Legal Chain Resolver using Mixture-of-Experts and a multi-agent system to provide tailored legal guidance. It simplifies legal navigation across statutes, precedents, and regulations while offering legal assistance through a conversational system to enhance accessibility and understanding.

  • Updated Jun 4, 2025
  • Jupyter Notebook

Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.

  • Updated Feb 13, 2025
  • Jupyter Notebook

RAG & LLM with Pathway to Process your Financial Reports and Tables from both structured data (tables) & unstructured data (text/images) with Claude Sonet 3.5 using Google Drive Connector of Pathway using streamlit

  • Updated Apr 4, 2025
  • Python

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