Algolia Vector Search
Algolia’s vector search capability that augments its search-as-a-service platform with semantic and similarity search using embeddings.
About this tool
title: Algolia Vector Search slug: algolia-vector-search url: https://www.algolia.com/ brand: Algolia brand_logo: https://www.algolia.com/static/logo-algolia-dark-616cbe.svg category: curated-resource-lists featured: false images:
- https://www.algolia.com/static/images/press/algolia-logo-preview.png
- https://www.algolia.com/static/images/solutions/ai-search/ai-search-illustration.png
Description
Algolia Vector Search is part of Algolia’s AI Search platform, adding semantic and similarity search on top of its search-as-a-service infrastructure. It uses embeddings to retrieve results based on meaning and context rather than just keyword matching.
Features
- Semantic and similarity search using vector embeddings to find results by meaning, even when queries don’t match keywords exactly.
- Integrated with Algolia AI Search platform, combining vector-based retrieval with traditional relevance and ranking signals.
- Embeddings-based retrieval to support natural language queries and more flexible search experiences.
- Works across multiple use cases such as ecommerce product search, content discovery, and knowledge search (inferred from placement within the AI Search product suite).
- Part of a broader AI stack, alongside:
- AI-powered Search
- Recommendations (behavior-based)
- Personalization
- Analytics
- Browse / category navigation
- Generative Experiences and Ask AI (RAG and conversational interfaces)
(The source page excerpt is mainly navigation and high-level product positioning, so detailed, low-level feature lists specific to Vector Search are not exposed.)
Pricing
Pricing details for Algolia Vector Search are not provided in the available content. Refer to Algolia’s website for plan and pricing information.
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