Semantic Search
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.
Vector Database Performance Compared: pgvector vs Pinecone vs Qdrant vs Weaviate
Real benchmark data from Supabase, Timescale, Qdrant, and ANN-Benchmarks. Query latency, recall accuracy, cost per million vectors, and how each one scales.
Giorgi Kenchadze2026-04-06How to Add Semantic Search to a Next.js App
Add semantic search to your Next.js app using server actions. No separate backend needed. Users search by meaning, not keywords. Full code included.
Giorgi Kenchadze2026-03-21Search Is the Most Neglected Feature in Every SaaS App
68% 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 Kenchadze2026-03-11You Don't Need a Vector Database
Most 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 Rokhvadze2026-03-06Vecstore vs Pinecone: When You Don't Need a Raw Vector Database
Pinecone gives you a vector index. Vecstore gives you a working search product. Here's how to decide which one your project actually needs.
Giorgi Kenchadze2026-03-01Vecstore vs Algolia: Semantic Search vs Keyword Search
Algolia 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 vs Semantic Search: What's the Difference?
Keyword 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 Kenchadze2026-01-29What Is a Vector Database (And Do You Actually Need One)?
Vector 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 Kenchadze2026-01-22Explore More Topics
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Image Search
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.
Tutorials
Step-by-step coding guides for adding search, image recognition, and content moderation to your app. Python, JavaScript, React, Next.js — full code included.
Industries
How different industries use image search, semantic search, and content moderation. Real estate, fashion, marketplaces, dating apps, and more.
Comparisons
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.
Content Moderation
Automate NSFW detection and content moderation without building your own ML pipeline. Practical guides for keeping user-generated content safe at scale.