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Agents need vector search more than RAG ever did
Document poisoning in RAG systems: How attackers corrupt AI's sources
Databricks built a RAG agent it says can handle every kind of enterprise search
Show HN: Rust-powered document chunker for RAG – 40x faster, O(1) memory
'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks
Enterprises are measuring the wrong part of RAG
Show HN: ShapedQL – A SQL engine for multi-stage ranking and RAG
MemRL outperforms RAG on complex agent benchmarks without fine-tuning
Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link
Show HN: Evidex – AI Clinical Search (RAG over PubMed/OpenAlex and SOAP Notes)
With 91% accuracy, open source Hindsight agentic memory provides 20/20 vision for AI agents stuck on failing RAG
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
Syllabi – Open-source agentic AI with tools, RAG, and multi-channel deploy
Show HN: Pyversity – Fast Result Diversification for Retrieval and RAG
Gemini Embedding: Powering RAG and context engineering
Don't bother parsing: Just use images for RAG
Show HN: Improving search ranking with chess Elo scores
RAG Is a Fancy, Lying Search Engine
s3: The new RAG framework that trains search agents with minimal data
Mistral launches API for building AI agents that run Python, generate images, perform RAG and more
