retrieval-augmented-generation

RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).

完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例

Samples showing architectural patterns for Modular RAG using Spring AI and Ollama.

AWS Certified AI Practitioner (AIF-C01) exam preparation

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

Sample Spring AI Application with several use cases

The official Pinecone marketplace for Claude Code Plugins

PDF Parsing Tool: GOT's vLLM acceleration implementation, MinerU for layout recognition, and GOT for table formula parsing.

The Web AI Toolkit is a powerful, privacy-first JavaScript library that brings advanced AI capabilities directly to your web applications. Run OCR, speech-to-text, text summarization, image classification, and more — all locally in the browser with no data sent to external servers.

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

CLI enabling more autonomous black-box penetration tests using Large Language Models (LLMs)

로컬 또는 클라우드 LLM을 사용해 문서 폴더 기반으로 검색·답변하는 RAG 어시스턴트

A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.

Faiss-based library for efficient similarity search

🚀 100% local RAG system with one-command setup. Your data never leaves your server. Apache-2.0

Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.

A Web app stack written in FastAPI, Qdrant, and React for creating AI projects

AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents.

RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.