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infiniflow/ragflow — GitHub trending stats & insights | Trendshift
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infiniflow/ragflow
#
AI agent
#
RAG
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
Python
83.4k
9.7k
644 contributors
Apache License 2.0
website
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RAGFlow 0.26.0 is live!🫶 🔹 Connector: Slack, Teams, Salesforce, Outlook, OneDrive, Azure, SharePoint... 🔹 Model: Auto-populated model lists; Multiple API keys; Get model list from remote providers…
@infiniflowai · x.com
A lot of document AI products sound similar until you test them on messy real files RAGFlow is interesting because it leans directly into document-heavy retrieval workflows Core features: 1.…
@dwsobest · x.com
Top open-source repositories for AI Engineers ✅️ Local Inference & Model Serving 1. Local LLM Runner: Ollama: 2. High-Throughput Serving: vLLM: 3. Ultra-Fast C++ Inference: llama.cpp: 4. Production…
@Alacritic_Super · x.com
70k stars for RAGFlow shows how much people want robust context layers. It combines document ingestion and query planning with tool-using agents in one framework.
@anjanab_ · x.com
RAGFlow v0.25.5 is live! Highlights: ⚡#Elasticsearch latency halved ⚡Metadata filters pushed down to doc engine 🛠️Local & SSH sandbox config in admin UI 📉Faster startup, lower memory 📊#Langfuse…
@infiniflowai · x.com
🎯 RAGFlow Complete open-source RAG engine — parsing to UI, all included. → PDF, Word, Excel & HTML support → Hybrid search — vector + keyword → Visual pipeline builder #RAG #OpenSource #OSGuy
@OSGuy7911 · x.com
9️⃣ Gemini CLI Google's official toolkit to integrate Gemini models into your command-line workflows and scripts.
@expert_fabiha · x.com
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