RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
其他人工智能更新于 2026-11-01
其他人工智能MIT
Repository dossier
VectifyAI/PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Brief / README 摘要
查看原文Reasoning-based RAG ◦ No Vector DB, No Chunking ◦ Context-Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact [Oct '26] 🔥 Page Search API: find the pages that answer each question in about a second, and send your LLM only those. *Cut 97% token cost on document question answering*; more accurate and faster than vector search (benchmark). [Aug '26] PageIndex SDK: local and cloud modes — one client to index, retrieve, and chat on your machine (with your own L…
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