Meilisearch Vector Search
Meilisearch offers vector search capabilities as part of its search engine, enabling hybrid and semantic search for AI applications.
About this tool
Meilisearch Vector Search
Meilisearch Vector Search is a search engine solution that integrates vector search capabilities, enabling hybrid and semantic search for modern AI applications.
Features
- Hybrid Search: Combines traditional keyword search with semantic vector search for enhanced relevance.
- Semantic Search: Understands natural language queries and delivers contextually relevant results.
- Multi-format Search: Supports searching across text, images, audio, and video.
- Q&A Bots: Enables intuitive question & answer bots that retrieve information based on user intent.
- Contextual Search: Improves result relevancy by deeply understanding the meaning of queries.
- Product Recommendations: Suggests similar items to aid product discovery and recommendations.
- Integration with AI Tools: Works with popular AI frameworks and tools such as OpenAI, Cohere, LangChain, and Hugging Face.
- SDKs: Provides tailored SDKs for various programming languages and frameworks.
- Filters & Faceted Search: Facilitates custom filters and faceted interfaces for advanced search experiences.
- Deployment Flexibility: Can be deployed on all major platforms, including Docker; also available as a managed cloud service.
- Language Detection: Supports all languages and can automatically detect them in queries.
- Custom Relevancy: Allows customization of ranking rules for search results.
- Security: Offers API keys and tenant tokens for access control and security.
- Geo Search: Supports location-based search features.
Pricing
The provided content does not include specific pricing details. A 14-day free trial for Meilisearch Cloud is available.
Tags
vector-search, semantic-search, hybrid-search, commercial, ai
Category
commerce