rag

RAG Time: A 5-week Learning Journey to Mastering RAG

AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.

Late Interaction Models Training & Retrieval

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Epsilla is a high performance Vector Database Management System

Search for the agentic web.

A code repository indexing tool to supercharge your LLM experience.

Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

An LLM-powered advanced RAG pipeline built from scratch

A list of AI memory projects

RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，支持GraphRAG，无须安装任何第三方agent库。

High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 98+ document formats using streaming parsers and built-in OCR.

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes