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.
- Production RAG: what I learned from processing 5M+ documents (blog.abdellatif.io)
- Syllabi – Open-source agentic AI with tools, RAG, and multi-channel deploy (www.syllabi-ai.com)
- Gilded Rage – Why Silicon Valley went from libertarian to authoritarian (paulkrugman.substack.com)
- Lessons from Implementing RAG in 2025 (www.truestate.io)
- Vectorless, Vision-Based RAG (colab.research.google.com)
- Show HN: I made a RAG agent for the leyman (www.sitesidekick.io)
- Gemini API – Managed RAG/File Search (blog.google)
- Embedding models for RAG have converged (agentset.ai)
- Rage Baiting Product Strategy is for Losers (twitter.com)
- How we built agentic retrieval ragie.ai (www.ragie.ai)
- RAG-Anything: All-in-One RAG Framework (arxiv.org)
- Why Screaming Is All the Rage (www.nytimes.com)
- OpenAI RAG Starter Kit with File Search and Chat UI (github.com)
- Evaluate Your Own RAG, Why Best Practices Failed Us (huggingface.co)
- CausalRAG: Integrating Causal Graphs into RAG (arxiv.org)
- Docling Preps Your Files for GenAI, RAG, and Beyond (www.docling.ai)
- Show HN: Synthetic data generation for evaluating RAGs (docs.kiln.tech)
- The Evolution from RAG to Agentic RAG to Agent Memory (leoniemonigatti.com)