rag

ChatData 🔍 📖 brings RAG to real applications with FREE✨ knowledge bases. Now enjoy your chat with 6 million wikipedia pages and 2 million arxiv papers.

A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG

Generate vector embeddings in NodeJS

PII Masker is an open-source tool for protecting sensitive data by automatically detecting and masking PII using advanced AI, powered by DeBERTa-v3. It provides high-precision detection, scalable performance, and a simple Python API for seamless integration into workflows, ensuring privacy compliance in various industries.

GenAI & LLM usecases and applications

A breakdown of knowledge graph RAG with diagrams and examples

RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.

Supporting repository for the Essential GraphRAG book published by Manning

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

[ACL 2026 Oral] UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

The self-hosted AI workstation. Autonomous screen agents, 3-tier neural routing, parallel agent swarms, video generation, 4K/8K upscaling, RAG, voice interface, 60+ tool execution engine — all running locally on your hardware.

Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.

GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization

c4 GenAI Suite

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

A secure, local RAG journal that understands you better the more you write.

本项目是一个基于 RAG 的生猪健康管理智慧医药系统，集成了 AI 兽医诊断、疾病管理、药品管理、文章资讯管理等功能模块，旨在通过数字化手段提升生猪养殖的医疗管理水平。系统基于 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek / 通义千问/ 阿里百炼 / SiliconFlow 等技术构建，提供智能兽医诊断服务，帮助养殖户或兽医快速识别生猪病情并推荐相应的治疗方案。

RAG enabled Chatbots using LangChain and Databutton

A list of AI memory projects（ AI长期记忆的开源和商业项目列表）

See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.