🔍 Information Retrieval - emschwartz · Scour

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

Evolutionary Data Making – How to train embedding models 🎨Chroma

wafer.systems·1d·Hacker News

How Recommendation System Works on Youtube 🏆Ranking

pub.towardsai.net

·21h

Building Context-Aware Search in Python with LLM Embeddings + Metadata 🎯Vector Search

machinelearningmastery.com·9h·Hacker News

Show HN: IResearch – C++ search that beat Lucene and Tantivy on their benchmark 🔎Tantivy

github.com·2d·Hacker News

Autoresearching BM25 on MSMarco 🎯BM25

softwaredoug.com

·5d

Context Engineering as a Recommendation Problem, Collaborative Retrieval for Personalized RAG, and More! 🎛️Feed Filtering

recsys.substack.com

Antony Pegg: From Managed PostgreSQL to Production RAG: Build Your Own Ellie in pgEdge Cloud 🐘PostgreSQL

[AINews] New AI Infra unicorns: Exa, Modal, TurboPuffer 🆕New AI

·16h

Do All Large Language Models Have Emotions? ✨Gemini

Build a Coding Assistant with Weaviate MCP: RAG over Code & Docs 👨‍💻AI Coding

weaviate.io·1d

MoE expert co-activations: Reordering inputs yields easy throughput gains. 📦Batch Embeddings

blog.doubleword.ai·1d·Hacker News

BrethofAI/brethof-mind: Long-term memory for Claude Code, built on SurrealDB. Don't summarize your memory — search it: full-text + vector + graph. MCP server + hooks, 100% local, no API. 🚀LanceDB

github.com·6h·Hacker News

Embedding models are coordinate systems. What silently breaks in production RAG 📊Embeddings

internals.laxmena.com·3d·Hacker News

From TF-IDF to Transformers: A Comparative and Ensemble Approach to Sentiment Classification 📝Text Embeddings

Does Your Project Need an LLM, Machine Learning or Statistics? 🏆LLM Benchmarking

builtin.com·2d

Tagging my blog posts with BERTopic and LLMs 📊Feed Optimization

vickiboykis.com·4d·Hacker News

LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory 🧠Obsidian

gist.github.com·2d·Hacker News

CortexDB V1: The Experience Layer for AI Agents 🧠Agent Memory

cortexdb.ai·6d·Hacker News

I got Qwen3-VL-Embedding-2B working with rkllm on an Orange Pi 5b 🔬RaBitQ

huggingface.co·2d·r/LocalLLaMA

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