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Release v3.10.28 — Lucene BM25 + RRF + CE rerank — passes acceptance test on BOTH datasets (rank 3/13 on 2-dataset mean) 🎯BM25

How Elasticsearch cuts time-series storage by 34% with synthetic _id and bloom filters 🌲GIN Indexes

Re-autoresearching MSMARCO BM25, on Vespa 🎯BM25

blog.vespa.ai·2d

not much happened today 🆕New AI

news.smol.ai·1d

AgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational Memory 🧠Agent Memory

Choosing the Right Language Analyzer for Azure AI Search 🔎Meilisearch

techcommunity.microsoft.com·1d

AWS rebuilds OpenSearch; Clickhouse gets agentic 🔥Prometheus

runtime.news·13h

Shopify vs Shopify Plus (2026): The Real Difference No One Talks About 📰Content Curation

krunalkanojiya.com·3d·DEV

Exploring MongoT (Atlas Search) 🔍Paradedb

Decoding the Observability Pipeline: A Java Architect's Guide to Metrics, Logs, and Traces 🔥Prometheus

youtube.com·2d·DEV

Implementing Hybrid Semantic-Lexical Search in RAG 🔗Hybrid Search

machinelearningmastery.com·5d

junaydirfan/ultimate-selfhosted-homelab: A complete guide to my self-hosted infrastructure running on Proxmox with Docker/LXC containers. This repo documents the full stack, from bare metal to running services so you can replicate or adapt it for your own setup. 🏠Self-hosting

github.com·20h·r/homelab

Extending Wazuh detection capabilities with clickdetect, Opensearch PPL and Sigma Rules 🔍Quickwit

infosecwriteups.com

·2d

How we doubled vector search throughput on Elasticsearch Serverless 🗂️Vector Indexes

How Contextual Embeddings and Hybrid Search Fix Retrieval Failures 🔄LLM RAG Pipelines

freecodecamp.org·1d

Next.js 16 RAG Pipeline Optimization: Give Your AI a Perfect Memory 🏗️LLM Infrastructure

jayapp.cn·3d·DEV

MCP Bridge Part 3: How we made getProcInfo3() agent-readable: hybrid discovery + AI Enrichment 📋MCP

appfactor.io·1d·Hacker News

From SSL Hell to Log Heaven: My Brutal ELK Stack Journey 🔍Quickwit

·2d

How do you separate structural context cost from execution context in agentic systems? We tried one approach, published the results — curious what experienced e... 🪄Prompt Engineering

zenodo.org·5d·r/ExperiencedDevs

Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies 🕸️Sparse Vectors

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