
Go beyond keyword matching. Learn how semantic search understands meaning, how vector databases power it, and how to add it to your product. Comparisons, explainers, and integration guides.
Real benchmark data from Supabase, Timescale, Qdrant, and ANN-Benchmarks. Query latency, recall accuracy, cost per million vectors, and how each one scales.
Giorgi Kenchadze2026-04-06Add semantic search to your Next.js app using server actions. No separate backend needed. Users search by meaning, not keywords. Full code included.
Giorgi Kenchadze2026-03-2168% of users go straight to the search bar. 80% leave because the results are bad. Search is where your highest-intent users go, and most products completely fumble it.
Giorgi Kenchadze2026-03-11Most teams shopping for a vector database don't actually need one. They need search that works. There's a difference, and it matters more than you think.
Mariam Rokhvadze2026-03-06Pinecone gives you a vector index. Vecstore gives you a working search product. Here's how to decide which one your project actually needs.
Giorgi Kenchadze2026-03-01Algolia is great at keyword search. Vecstore is built for semantic search, image search, and understanding meaning. Here's when to use each.
Giorgi Kenchadze2026-02-14Keyword search matches exact words. Semantic search understands meaning. Here's how they work, when to use each, and why the gap between them matters more than you think.
Giorgi Kenchadze2026-01-29Vector databases power semantic search, recommendation engines, and RAG pipelines. Here's how they work under the hood—and when a simpler option might be the better choice.
Giorgi Kenchadze2026-01-22Browse other content hubs.
Everything about building image search — reverse image lookup, text-to-image search, face search, visual search for e-commerce, and OCR. Tutorials, architecture breakdowns, and production cost analysis.
Step-by-step coding guides for adding search, image recognition, and content moderation to your app. Python, JavaScript, React, Next.js — full code included.
How different industries use image search, semantic search, and content moderation. Real estate, fashion, marketplaces, dating apps, and more.
Side-by-side breakdowns of search and vector database tools. Vecstore vs Pinecone, Vecstore vs Algolia, and more — so you can pick the right tool for your stack.
Automate NSFW detection and content moderation without building your own ML pipeline. Practical guides for keeping user-generated content safe at scale.