Hackernews posts about RAG
RAG is a technology that enables the efficient processing and integration of large amounts of unstructured data from various sources to create a unified knowledge graph.
- LlamaChunk: Better RAG Chunking Than LlamaIndex (github.com)
- RAG Best Practices: Lessons from 100 Technical Teams (www.kapa.ai)
- Doing on-device RAG with SQLite and Ollama (www.inferable.ai)
- The Modern RAG Stack (adamkhakhar.substack.com)
- Exploring Semantic Chunking for RAG (www.pointable.ai)
- Choosing the right embedding model for a RAG system (unstructured.io)
- HtmlRAG: HTML Is Better Than Plain Text for RAG Systems (huggingface.co)
- Show HN: Chatsimple – RAG with real-time voice APIs (www.chatsimple.ai)
- A battle is raging over the definition of open-source AI (www.economist.com)
- Show HN: Add RAG to any app in minutes – Dabarqus (github.com)
- State of RAG Podcast (www.youtube.com)
- Ultra low-latency routing between RAG agents (docs.notdiamond.ai)
- How to Have Your AI Stack Locally (Vision, Chat, TTS, STT, ImageGeneration, RAG) (space.tcsenpai.com)
- Predictions for the Future of RAG (jxnl.co)
- A battle is raging over the definition of open-source AI (www.economist.com)