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