neuml/txtai
Open on GitHubPython💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- 1,752−1 Elo, change today
- 13.4k stars
- 1k forks
- 115 watchers
git clone https://github.com/neuml/txtai.gitRepositories with the GitHub topic “retrieval-augmented-generation”: 20 repositories with 515k stars between them, mostly written in Python, Go and Jupyter Notebook. The highest-rated is infiniflow/ragflow, #219 on the bestofgithub Elo ladder.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
git clone https://github.com/neuml/txtai.git~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
git clone https://github.com/LearningCircuit/local-deep-research.gitAgent S: the state-of-the-art open source computer use agents
git clone https://github.com/simular-ai/Agent-S.gitSoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
git clone https://github.com/SciPhi-AI/R2R.git🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
git clone https://github.com/WangRongsheng/awesome-LLM-resources.gitRetrieval and Retrieval-augmented LLMs
git clone https://github.com/FlagOpen/FlagEmbedding.gitRAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context…
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique…
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design…
"RAG-Anything: All-in-One RAG Framework"
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Agent S: the state-of-the-art open source computer use agents
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents…
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat…
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+…
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while…
Retrieval and Retrieval-augmented LLMs
Unified framework for building enterprise RAG pipelines with small, specialized models
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM…
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Open-source context retrieval layer for AI agents