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Implementing hybrid search strategies is a critical step in building modern RAG (Retrieval-Augmented Generation) systems , especially when shifting from prototype to production-rea...
Keyword search struggles with natural language and exploratory questions. Daniel walked the DrupalSouth 2026 audience through how OpenSearch and Skpr enable semantic search that un...
Build a semantic image search pipeline with SerpApi, Jina embeddings, and Elasticsearch. Search photos by meaning, not captions, using a public Instagram feed as the worked example...
You've probably shipped this bug before, where a user types " affordable laptop " into your search bar and gets zero results.
Every search query is a negotiation between two irreconcilable demands.Continue reading on Medium »
Imagine a user visits an encyclopedia website and searches for "survival in extreme conditions." The article they want, about the Ross Sea party being stranded in Antarctica for tw...
Developments in Intelligent Searchby Jennifer Roberts
Imagine your team just deployed a sleek RAG-based docs assistant for the SaaS platform you develop. In testing, it worked flawlessly. It knows your functionality and answers questi...
AlloyDB powers enterprise-grade search for some of the largest organizations, providing robust hybrid search capabilities that combine text, vector, and keyword searches into a sim...
For years, search technology meant one thing: type in a keyword, and the system goes hunting for an exact match. That works fine for product SKUs or error codes, but it falls apart...
Everyone is shipping “AI search” right now. Type a sentence and get candidates back but here’s the thing: Most Natural Language Search (NLS) out there is just Boolean hiding behind...
This tutorial walks through a complete NLP pipeline for research-level mathematics. Using the ResearchMath-14k dataset, we extract field-specific keywords with TF-IDF, generate sen...
Vector search is a search technique that finds results based on meaning, not just...
I built out askthecanon.com this weekend, a semantic search over 100 public-domain books (from the Gutenberg project). You ask a question in plain language and get the passages tha...
Keyword search breaks the moment a user types something a document doesn't literally say.
Why Searching 1 Million Arrays of 1536 Numbers Does NOT Melt Your CPUContinue reading on Medium »
Keyword research for AEO can feel overwhelming because audiences are searching for almost everything in AI search, and queries are nuanced and personalized.
Odoo AI Semantic Search helps users find relevant products and records by understanding the meaning behind their search queries instead of relying only on exact keywords. This modu...
Search the tomtunguz.com archive of essays on AI, SaaS, startups, and venture capital.
OpenSparrow v2.6 is out. This one's a big step forward — RAG (Retrieval-Augmented Generation) integration, bulk grid operations, and a whole new UX layer. RAG & AI integration...
In this article, we will understand how vector search works in Amazon OpenSearch and how to use it as the retrieval layer in a retrieval-augmented generation (RAG) system. The arti...
How did semantic search evolve from simple keyword matching into modern transformer-based language understanding? This hands-on article builds four generations of semantic search s...
AI search optimization is the practice of improving brands’ odds of being cited and mentioned by answer engines like ChatGPT, Gemini, and AI Overviews. The traffic it earns is smal...
Legal research can yield vastly different results based on the search methodology used. Boolean search provides precise, predictable results but can miss relevant cases due to vary...
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