R

Retrieval Augmented Generation

🔧🔗https://github.com/modelscope/evalscope A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

🔧🔗https://github.com/getzep/graphiti

Build and query dynamic, temporally-aware Knowledge Graphs

🔧🔗https://github.com/mendableai/firecrawl 🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

🔧🔗https://github.com/open-webui/open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

🕸️🔗https://openwebui.com/

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

docs.danswer.dev/

A multi-user ChatGPT for any LLMs and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application with a built-in LLM!

https://github.com/topoteretes/cognee Deterministic LLMs Outputs for AI Applications and AI Agents

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/HKUDS/LightRAG

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

🔧🔗https://github.com/brianstm/obsidian-vault-llm-assistant

An obsidian notebook plugin that uses LLM (OpenAI or Gemini) to answer questions and create new n

https://github.com/run-llama/llama_parse Parse files for optimal RAG

🔧🔗https://github.com/VictoriaMetrics-Community/mcp-victoriametrics

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

🔧🔗https://github.com/mendableai/firecrawl-app-examples 🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

🔧🔗https://github.com/gabosgab/ObsidianPrivateAI A plugin for obsidian that makes it easy to interact with a local LLM

🔧🔗https://github.com/modelscope/modelscope-agent

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

https://github.com/InternLM/HuixiangDou HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

🔧🔗https://github.com/maragudk/gai-starter-kit Get started with LLMs, FTS and vector search, RAG, and more, in Go!

🔧🔗https://github.com/getzep/zep-python

Zep: Long-Term Memory for ‍AI Assistants (Python Client)