LangChainhttps://www.langchain.comLLM app framework + LangGraph. Embedchainhttps://embedchain.aiData-to-answer RAG for any source. LlamaIndexhttps://www.llamaindex.aiRAG + agent data framework. LangChain.jshttps://js.langchain.comLangChain for TypeScript. Haystackhttps://haystack.deepset.aideepset's RAG pipeline framework. txtaihttps://neuml.github.io/txtaiEmbeddings + RAG workflows. LightRAGhttps://github.com/HKUDS/LightRAGGraph-augmented RAG. GraphRAGhttps://microsoft.github.io/graphragMicrosoft's graph-based RAG. RAGFlowhttps://ragflow.ioOpen RAG engine with deep document understanding. kotaemonhttps://github.com/Cinnamon/kotaemonClean RAG UI + framework. Cognitahttps://github.com/truefoundry/cognitaTrueFoundry's RAG framework + UI. LangChain4jhttps://github.com/langchain4j/langchain4jLangChain for Java. Spring AIhttps://spring.io/projects/spring-aiAI applications on Spring. Genkithttps://genkit.devGoogle's AI app framework. langchaingohttps://github.com/tmc/langchaingoLangChain for Go. Einohttps://github.com/cloudwego/einoCloudWeGo's LLM app framework. LangChain.rbhttps://github.com/patterns-ai-core/langchainrbLangChain for Ruby. Ragashttps://docs.ragas.ioRAG evaluation metrics. Command R+https://cohere.com/commandCohere RAG-tuned model. awesome-llm-apps collectionhttps://github.com/Shubhamsaboo/awesome-llm-appsCurated LLM app collection — RAG, agents, voice, MCP examples. Agentic RAG (awesome-llm-apps)https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/agentic_rag_gpt5Example: agentic RAG with reasoning. Voice RAG agent (awesome-llm-apps)https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/voice_ai_agents/voice_rag_openaisdkExample: voice + retrieval agent.