InfiniFlow

The BMP algorithms by Nicola could be seen within our repo: https://lnkd.in/gv9GnPgg

Infinity 0.2 is not only a powerful database for #RAG, it also provides the fastest hybrid search performance. See our latest article 👉 https://lnkd.in/ggivXnJS

Dense vector Sparse vector Full text search Tensor reranker = Best for RAG? https://lnkd.in/gg-JdSi2

From RAG 1.0 to RAG 2.0, What Goes Around Comes Around https://lnkd.in/gcfzgQFd

From version 0.8, RAGFlow is entering the Agentic era, see our latest blog https://lnkd.in/guGCpsNi

From 0.8, RAGFlow will provide no code Agentic workflow orchestration. This article describes what kind of graph orchestration engine is needed, and how it can be used to implement Agentic #rag https://lnkd.in/gmJdXrf6

RAGFlow 0.7 is released! Major updates: Integrates BGE/BCE reranker models; Integrates Jina embedding/reranker models; Supports LLM Baichuan and VolcanoArk; Supports RAPTOR for better text retrieval; Supports HTML format; Supports ARM platform https://lnkd.in/gpFSPxpx

https://lnkd.in/gWZs4aGS RAGFlow has supported RAPTOR right now !

A summary of the present and future of #RAG and why we developed RAGFlow https://lnkd.in/erUVy8X4

Exciting news! 🚀 Open-source RAG engine RAGFlow v0.5.0 is out now! This release integrates DeepSeek-V2 model and improves the performance, along with numerous bug fixes. #RAG #LLM #DeepSeek 👉 https://lnkd.in/gak6YJDe