No description available

An implementation of "M3DOCRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding" by Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, and Mohit Bansal (UNC Chapel Hill & Bloomberg).

document retrieval and QA pipeline

AI-powered documentation RAG system with MCP server for Claude Code. Search and retrieve technical documentation on-demand with vector embeddings and smart web scraping.

[Experimental] Open-source RAG System for diverse document types

DOCRAG 是一个文档问答（RAG）系统，支持 LLM 与向量检索集成。

No description available

DocRAG Assistant is an AI chatbot that uses Retreival Augumented Generation to engage users in intuitive conversations to gather information about document contents, milestones, and potential challenges.

Developped a Retrieval-Augmented Generation (RAG) query app for efficient retrieval with AI-driven responses using FAISS and Llama 2 via Ollama for response generation.

docrag_llm python library

pgvector RAG backend

No description available

No description available

个人练习项目

No description available

Generate code from live documentation using RAG (Retrieval-Augmented Generation)

No description available

for docrag_llm

RAG system to talk to your documents

No description available

A RAG project

No description available

No description available

"RAG system with Endee vector database, semantic search, recommendations, and agentic AI workflows"

An event-driven RAG system for document upload and semantic Q&A.

No description available

No description available

No description available

Extract information and chat with your scientific journal papers

No description available