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.
- The Rage of the Billionaires Is Coming (www.thebignewsletter.com)
- Show HN: Ragnerock, an AI data analysis tool (www.ragnerock.com)
- RAG retrieves the refutation and still gets it wrong (reyes.id.au)
- RAG Eval Comparing Vertex/Bedrock/Azure/OpenAI (github.com)
- Embedding models are coordinate systems. What silently breaks in production RAG (internals.laxmena.com)
- Show HN: RAGDebugger – observability – retrieval-augmented generation pipeline (www.ragdebugger.com)
- RAG vs. Fine-Tuning – The Question Every AI Builder Gets Wrong (thingswithai.org)
- We engineered RAG to be 50% faster (elevenlabs.io)
- Argus – RAG based vulnerability scanner (github.com)
- Show HN: I built a playground of interative A/B testing for RAG (rag-dr.hanhanwu.com)
- I built a WP plugin to solve the "AI Search" problem (YouTube-to-Blog and RAG) (www.indiehackers.com)
- Agentic RAG Explained in 3 Levels of Difficulty (machinelearningmastery.com)
- LangGraph and Cosmos DB: one back end for agents, memory, and RAG (devblogs.microsoft.com)
- Show HN: Local RAG Pipeline with Weaviate and Ollama (www.storyblok.com)
- Your RAG Pipeline has no brakes (medium.com)
- A Bette RAG Alternative (www.codynamicslab.com)
- What Matters in Production RAG (arpitbhayani.me)