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grep -l @bm25 /news/*.json | wc -l → 127

BM25

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// recent coverage 127 mentions

10:14
2026-09-30
dev.to
artificial-intelligence

Hybrid Search RAG Over Internal Docs: Production Guide

A developer at LogicLoop described a production hybrid-search RAG pipeline that runs BM25 keyword retrieval in Elasticsearch alongside dense vector retrieval in pgvector and fuses normalized scores, r…

04:00
2026-09-30
machinebrief.com
artificial-intelligence

MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment

MERGE, a two-stage framework from researchers behind arXiv paper 2609.37574v1, ensembles three heterogeneous 7-8B open-source LLMs whose candidate query expansions are synthesized by a larger LLM, imp…

13:45
2026-09-28
dev.to
ai-search

Hybrid Search and Re-Ranking: The Cheapest Quality Win

A developer's technical breakdown argues that combining BM25 keyword search with dense vector retrieval via reciprocal rank fusion, then applying a cross-encoder re-ranker over the top candidates, del…

17:01
2026-09-24
pub.towardsai.net
artificial-intelligence

Building a Soil Doctor: Inside My RAG-Based Soil Advisory System

A developer is building Soil Doctor, an agricultural advisory system whose retrieval-augmented generation pipeline combines semantic embeddings, BM25 lexical search, and cross-encoder reranking over a…

08:07
2026-09-24
dev.to
ai-agents

The Model Was Never the Problem

A developer's two-stage evaluation of MCP tool selection found that a small model (gpt-5.4-mini) picks the correct tool from a forced five-tool shortlist 90–97% of the time regardless of description v…

00:00
2026-09-21
mindstudio.ai
ai-research

JEV as a Steerable Reranker: A Practical RAG Guide

JEV, a small instruction-following model built for structured decisions, pushed top-1 retrieval accuracy from a 21% BM25 baseline to 54% when added as a reranker in a demonstrated RAG benchmark, accor…

00:00
2026-09-21
mindstudio.ai
ai-products

JEV API Pricing: Free Credits and Cost vs LLM Reranking

JEV offers new API users $5 in free credit on signup and prices its structured decision-making model below full LLM rerankers, according to hands-on testing shared by an AI engineer. JEV's cost and la…

03:17
2026-09-17
dev.to
ai-agents

Is 'Chunkless RAG' Actually Solving the Right Problem?

A developer argues that IBM's promoted 'Chunkless RAG' approach, in which an AI agent navigates parsed document structure instead of retrieving fixed-size embedded chunks, is oversold for real-world p…

23:35
2026-09-12
dev.to
large-language-models

I described 1,245 tables with an LLM and retrieval got worse

A developer catalogued a 1,245-object database schema with an LLM, generating natural-language descriptions for each table, and found that retrieval quality dropped sharply rather than improving. The …

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