Vector search engine open source - AI tools

VectorDB is a lightweight Python library for efficient text storage and retrieval using vector search. Ideal for low-latency applications requiring semantic search capabilities.

• Free

client-vector-search enables developers to implement client-side semantic search using vector embeddings, offering fast computation and search capabilities directly in the browser.

• Freemium
• From 20$

SvectorDB is a cost-effective serverless vector database specifically designed for AWS that offers pay-per-use pricing and seamless scaling from prototype to production.

• Usage Based

turbopuffer offers a serverless vector and full-text search solution built on object storage, delivering high speed, scalability, and cost-effectiveness.

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Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional vectors and massive-scale AI applications. It offers cloud-native scalability, ease of use, cost efficiency, and Rust-powered reliability.

• Freemium

Vald is a cloud-native, highly scalable distributed vector search engine using the NGT algorithm for fast approximate nearest neighbor searches. It features automatic indexing, backup, and horizontal scaling for handling billions of vectors.

• Free

VectorAdmin offers a universal user interface and tool suite for managing vector databases used in LLM applications, simplifying data handling and reducing embedding costs.

• Freemium

Manticore Search is a high-performance, open-source database optimized for search applications, including vector and semantic search. It serves as a cost-effective and resource-efficient alternative to Elasticsearch, excelling in speed and handling large datasets.

• Free

Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications.

• Freemium
• From 44$

TopK provides a unified API for embeddings, database management, and ranking, simplifying complex search stack implementations for developers.

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