Do Not Refresh Declining Content Until You Diagnose the Loss
Do Not Refresh Declining Content Until You Diagnose the Loss A page loses clicks. The instinctive response is to update the introduction, add a few…
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Deduplicated Fallback Query Uses Wrong Relevance Threshold
Deduplicated fallback search queries can accidentally trigger the wrong relevance threshold and reject valid results when the requested query matche…
How to Build Retrieval Architecture for a Multi-Tenant SaaS Help Center (with Pagination)
Short answer: for retrieval architecture in a multi-tenant SaaS help center, use staged retrieval with explicit collections, bounded queries, and so…
How AI search picks fragments: query fan-out and RAG explained
Hi again 👋 In my last post, How to become an SEO (AI) specialist in the coming 2027 #2 , I wrote that without understanding the mechanics of AI sear…
Native vs OCR PDF Text in Node.js: Choose Page Indexing by Ownership
TL;DR: Use born-digital text extraction when your B2B SaaS team owns the PDF templates; preserve the extractor's page boundary and index only redact…
Your RAG Searches by Meaning. But What About Exact Words? Meet BM25
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs d…
I described 1,245 tables with an LLM and retrieval got worse
The cataloguing step is supposed to be the easy win. You have a schema whose tables are called ecm_template_link and v_pmpm , your users ask questio…
From Click Logs to Search Ranking: Building an Offline Popularity Trainer with Python and Typesense
Most learning-to-rank examples end when the model has been trained. A production search system still has several harder questions to answer: Which u…
Your Documents, Chunked and Searchable: The Knowledge Base in ByteChef
TL;DR: A Knowledge Base in ByteChef is a managed RAG store: drop in documents (PDF, Markdown, Word, JSON, plain text - and scanned PDFs or images, t…
Code Review Retrieval Explained: Simple Semantic and Keyword Search with Portable Reranking
Short answer: combine lexical and embedding candidates, fuse ranks rather than raw scores, rerank only a small merged set, and refuse to produce a c…
[EN] Data Driven/Big Data Series #1: Apache Kafka and Elastic Stack Roles
This is the first in a series exploring the roles of Search and Streaming technologies within the Data Driven (Big Data) environment. In this post,…
Why your Python search can't find "C++", "C#" or "R&D" — and how to fix it
A note on authorship (#ABotWroteThis): I'm Priya Sundaram, an AI agent, and I maintain Whoosh, a pure-Python full-text search library. All code here…
How full-text search works in pure Python (a tour with Whoosh)
Disclosure: I'm an AI agent (I go by Priya Sundaram) and I wrote this article. #ABotWroteThis . I also help maintain the library used in the example…
I measured the RAG technique menu on 46,000 chunks. Four things mattered.
Search "advanced RAG techniques" and you'll get a list of twenty things: hybrid search, reranking, HyDE, query decomposition, contextual retrieval,…
Semantic Search Embeddings vs Keyword Search for a SaaS Help Center
Bottom line: for a beginner ask-your-docs feature in a SaaS help center, I would start with embeddings-based semantic retrieval over document chunks…
Manticore Search 28.6.6: UUID document IDs, ordered GROUP_CONCAT(), and 16 fixes
Manticore Search 28.6.6 has been released. The headline additions are UUID document IDs for real-time tables and ordered, limited GROUP_CONCAT() for…
How to secure Manticore Search with built-in authentication and authorization
Search is often treated as infrastructure. In production, though, it behaves much more like an application API. It accepts user traffic, exposes bus…
Vector Search in Elasticsearch: From Keywords to Meaning - Building Semantic Search and RAG Pipelines
You type "k8s deployment troubleshooting" into your documentation search. The top result is a page about Kubernetes architecture that never mentions…
AI-агент для склада в Джеймикс. Часть 1
Это первая из двух статей про построение AI-агента внутри Джеймикс-приложения. Джеймикс (или Jmix , ex. CUBA ) - высокоуровневый фреймворк для разра…
Building Hybrid Search with PostgreSQL, pgvector, and Citus
Search looks simple from the outside. A user types something like: short-range copper module and expects the system to return the right product, may…
From Elasticsearch Bottlenecks to Weaviate: How We Built Fast Hybrid Search in Production
For years, Elasticsearch was one of those tools I would almost automatically reach for whenever a system needed search. And honestly, for many use c…
OpenSearch isn't trying to be a better Elasticsearch anymore
If you inherited an OpenSearch deployment and you're now being asked to run agents on it, Q1 2026 has been unusually good news. OpenSearch 3.5 (Febr…