🔍 Information Retrieval - ibrahimsharaf · Scour

Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix 📊Retrieval Evaluation

My Zerto Docs MCP Server: Ask Claude (or Copilot, or Cursor) Real Questions 💻Local AI

Building KernelMind, A Code-Aware Github Companion 💻Local AI

github.com·3d·DEV

Introducing the Ettin Reranker Family 📐Vector Search

huggingface.co·2d·r/LocalLLaMA

Sease at Berlin Buzzwords 2026 📐Vector Search

Is BM25 Enough for Agentic Deep Research?, Replacing Decoders with MLPs in Generative Recommendation, and More! 🧠LLMs

recsys.substack.com

Evaluating job search ranking with LLM judged NDCG 📊LLM Evaluation

corvi.careers·1d·Hacker News

Designing Context First AI Systems & Building a Modern Day Language - and AI, Thu, May 21, 2026, 7:00 PM 🤖AI Agents

meetup.com·12h

Pinecone vs Qdrant vs Weaviate: RAG Query Speed at 1M Vectors 📐Vector Search

tildalice.io·1d

OpenData Vector: MIT-Licensed Vector Search on Object Storage 📐Vector Search

opendata.dev·6d·Hacker News, r/programming

Databricks for Good and Virtue Foundation: Partnering to Connect Medical Volunteers to Critical Health Services in 72 Countries 🚀LLM Deployment

databricks.com·20h

Booking.com and Weaviate 📐Vector Search

news.ycombinator.com·2d·Hacker News

Autoresearching BM25 on MSMarco 📊Retrieval Evaluation

softwaredoug.com

·4d

Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking 🔍RAG

Real-World Success Stories with PostgreSQL on Azure 🏢LLM Adoption

techcommunity.microsoft.com·11h

Designing a Production-Oriented RAG System for Technical Documentation 🔍RAG

vizlab.xyz·3d·DEV

LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory 🕸️Knowledge Graphs

gist.github.com·1d·Hacker News

Google’s llms.txt Guidance Depends On Which Product You Ask via @sejournal, @MattGSouthern 🔬Small LMs

searchenginejournal.com·16h

Most Enterprises Build Fragile RAG Pipelines - Here is How to Architect Compound AI Systems 🤖Agentic AI

dattasable.com·2d·DEV

JHQ: Johnson-Lindenstrauss Enhanced Hierarchical Quantization for High-Dimensional Approximate Nearest Neighbor Search ⚡Quantization

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