Information Retrieval

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Scoured 315 posts in 9.6 ms

Redis for Agent Memory

 🎯AI Agents  Content type: Blog
rephrase-it.com·

Best practices for building a modern app with vector search

 📊Embeddings  Content type: Blog
elastic.co·

Hashtag Jakarta EE #336

 📊Embeddings
agilejava.eu·

Agentic search - retrieval, harness, or model?

 ✍️Prompt Engineering  Content type: Blog

Representation Curriculum: Stagewise Training for Robust Ranking and Allocation

 🎯Recommender Systems  Content type: Academic
arxiv.org·

Private Information Retrieval: Share Conversions vs. Decoding Polynomials

 🔐Cryptography
eprint.iacr.org·

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 🤖AI

Understanding HNSW: The Engine Behind Fast Vector Search

 ⚙️Algorithms
chimchim89.github.io·

DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate

 🎯AI Agents  Content type: Code
github.com··Hacker News

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

 📊Bayesian Statistics  Content type: Academic
arxiv.org·

Your AI Agent Keeps Forgetting. Here's Why Context Is the Real Architecture Problem

 📊Embeddings
ariefwara.github.io··DEV

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 📊Embeddings  Content type: Blog
elastic.co·

Design a Knowledge Q&A System

 💬LLMs

Show HN: Ext-Infer

 💬LLMs

Microsoft’s Web IQ aims to give enterprise AI agents real-time web intelligence

 📊Embeddings
infoworld.com·

Stability in Competitive Search with Results Diversification

 💹Economics  Content type: Academic
arxiv.org·

Meta's smart glasses companion app ships a complete, dormant face-recognition pipeline on a stock account.

 📊Embeddings
buchodi.com··Hacker News

I wondered how big platforms detect stolen images. So I built the whole system myself.

 📊Embeddings  Content type: Code

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

 ⚙️Algorithms  Content type: Academic
arxiv.org·

MetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention

 🎯Recommender Systems  Content type: Academic
arxiv.org·

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