The Vecstore Blog
Expand your search and AI knowledge with detailed tutorials, data studies, and product updates.
Vecstore 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 Kenchadze2026-03-01OCR Search: Find Images by the Text Inside Them
Most image search looks at what's in the picture. OCR search finds images by the text inside them — signs, screenshots, documents, memes, and more.
Giorgi Kenchadze2026-02-24How to Build a Reverse Image Search Engine with JavaScript
Most reverse image search tutorials involve CLIP models, vector databases, and weeks of setup. Here's how to build one in under 20 minutes with a simple API.
Giorgi Kenchadze2026-02-16How to Add NSFW Detection to Your App (Without Hiring a Moderation Team)
User-generated content can go wrong fast. Here's a practical guide to automated NSFW detection — what it catches, how the APIs work, and what to look for when choosing one.
Mariam Rokhvadze2026-02-14Vecstore 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 Kenchadze2026-02-14How to Add Image Search to Your App (Without Training a Model)
Most developers think image search means training ML models and managing GPU servers. It doesn't have to. Here's the practical breakdown.
Mariam Rokhvadze2026-02-12Visual Search Is Changing How People Shop Online
Shoppers don't always have words for what they want. Visual search lets them use a photo instead — and the data shows it converts better than text search.
Mariam Rokhvadze2026-02-05Keyword 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 Kenchadze2026-01-29