Are you still struggling with RAG application development? Don’t worry, today I recommend five completely open-source and free RAG frameworks that cover various scenarios such as automatic optimization, multimodal processing, local deployment, and production environment support, helping you easily tackle RAG development! 👇
1. AutoRAG: Automatic Optimization, Worry-Free
🔑 Core Advantages: Automatically find the optimal RAG process, goodbye manual tuning! ✨ Featured Features: Supports testing different RAG modules with your evaluation data to find the best solution. 💼 Applicable Scenarios: Suitable for developers who need to optimize RAG system performance.
https://github.com/Marker-Inc-Korea/AutoRAG
2. R2R: Multimodal Data Processing, All-Rounder
🔑 Core Advantages: Local deployment, supports various data formats, one-stop solution! ✨ Featured Features:
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Supports multiple file formats including text, PDF, JSON, images -
Combines semantic search + keyword search -
Automatically builds knowledge graphs and extracts entity relationships 💼 Applicable Scenarios: Suitable for comprehensive RAG applications that need to process multiple types of data sources.
https://github.com/SciPhi-AI/R2R
3. n8n AI Toolkit: Local Deployment, Privacy Assured
🔑 Core Advantages: Completely localized deployment, data security guaranteed! ✨ Technical Highlights:
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Runs local LLM models using @ollama -
Uses @qdrant_engine as a local vector database 💼 Applicable Scenarios: Suitable for teams that prioritize data privacy and require local deployment.
https://github.com/n8n-io/self-hosted-ai-starter-kit
4. Cognita: Production Environment, Stable and Reliable
🔑 Core Advantages: Designed specifically for production environments, the first choice for enterprise applications! ✨ Featured Features: Provides customizable data ingestion, processing, and retrieval components, flexible and efficient. 💼 Applicable Scenarios: Suitable for enterprise-level application deployment, requiring a stable and reliable RAG framework.
https://github.com/truefoundry/cognita
5. LLMWare: Lightweight and Professional, A Must-Have for Enterprises
🔑 Core Advantages: Small professional models, lightweight and efficient! ✨ Featured Features:
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Provides 50+ small models optimized for enterprise tasks -
Supports the complete RAG lifecycle 💼 Applicable Scenarios: Suitable for scenarios that require specialized, lightweight solutions in enterprise environments.
https://github.com/llmware-ai/llmware
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