retrieval-augmented-generation

Mistral + Haystack: build RAG pipelines that rock 🤘

Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web sources with citations.

Go implementation of @qdrant/fastembed.

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

Create your own GPT intelligent assistants using Azure OpenAI, Ollama, and local models, build and manage local knowledge bases, and expand your horizons with AI search engines. 使用 Azure OpenAI、Ollama以及本地模型创建自己的 GPT 智能助手，搭建和管理本地知识库，并使用 AI 搜索引擎扩展你的视野。

GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

Graph traversal for improved RAG

Docling with Ollama - RAG on Local Files with Local Models

Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!

The library for character-driven AI experiences.

ScrapeGPT is a RAG-based Telegram bot designed to scrape and analyze websites, then answer questions based on the scraped content. The bot utilizes Retrieval Augmented Generation and webscraping to return natural language answers to the user's queries.

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

LLM RAG Application with Cross-Encoders Re-ranking for YouTube video 🎥

Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2

Production-grade multimodal RAG for financial document intelligence. Chart understanding · hybrid retrieval · numeric guardrails · multi-tenancy · full observability.

Possibly futile attempt at grounding hype with theory and fundamentals

Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

This repo contains a list of channels and sources from where LLMs should be learned

Examples of my tutorial on how to use Neo4j for empowering AI RAG systems