Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
PythonRaudaschl/rag-fusion

rag-fusion

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

53.6/100
955Forks: 115
View on GitHub
Loading report...

Similar Projects

haystack

94

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Python26.4K

fastembed

86

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Python3.2K

ArXivChatGuru

50

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

Python561

onyx

91

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Python32.0K
Back to List