RAG
Page 2 of 4
- AI
OmniParse: Open-Source Universal Data Parsing for GenAI Pipelines
Modern GenAI applications consume data in many forms -- PDFs, spreadsheets, images, audio recordings, and video files. Building a RAG pipeline that...
- AI
MinerU: Open-Source PDF Document Parsing and Data Extraction
PDF is the universal format for document distribution, but it is arguably the worst format for data extraction. PDFs store visual layouts —...
- AI
LightRAG: Simple and Fast Graph-Based Retrieval-Augmented Generation Framework
LightRAG is a research project from the University of Hong Kong (HKU) that reimagines retrieval-augmented generation (RAG) using knowledge graphs...
- AI
Langflow: Visual Framework for Building Multi-Agent RAG Applications
Not everyone who needs to build AI applications should have to write Python code. For domain experts, product managers, and developers who prefer...
- AI
LangChain: The Universal Framework for LLM Application Development
Building applications with large language models is fundamentally different from traditional software development. LLMs are non-deterministic...
- AI
Langchain-Chatchat: Open-Source Knowledge Base Q&A with LLMs
Organizations accumulate vast amounts of internal documentation -- technical manuals, policy documents, research papers, and operational guides. The...