How to set up semantic and vector search with a simple API integration

How to set up semantic and vector search with a simple API integration

This task can be performed using Typesense

Instant, typo-tolerant search that’s fast, simple, and delightful.

Best product for this task

Typese

Typesense is an open-source search engine that delivers instant, typo-tolerant, relevance-tuned search for modern applications. It combines keyword, vector, and semantic search with a simple API, making it a practical alternative to Algolia, Elasticsearch, Meilisearch, and Pinecone.

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What to expect from an ideal product

  1. Typesense provides a single API that handles both traditional keyword searches and modern vector-based semantic searches without needing separate tools or complex configurations
  2. The search engine automatically creates vector embeddings from your text content, so you can implement semantic search without manually processing or preparing your data
  3. Built-in hybrid search combines keyword matching with semantic understanding, letting users find relevant results even when they use different words than what's in your content
  4. Simple REST API integration means you can add semantic search to any application with basic HTTP requests, no specialized SDKs or machine learning expertise required
  5. Real-time indexing updates both keyword and vector indexes simultaneously, keeping semantic search results current as your content changes

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