Open source vector search database - 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

KDB.AI is a scalable vector database designed for building production-grade AI applications, offering high uptime and low latency search capabilities.

• 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

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

Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.

• Freemium

Chroma is an open-source database solution designed specifically for AI applications, offering integrated embeddings, vector search, document storage, and multi-modal retrieval capabilities.

• Free

TiDB is a distributed SQL database by PingCAP designed for scalability, resilience, and real-time insights, supporting diverse workloads including transactional, analytical, and AI.

• Freemium

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$

Weaviate is an open-source vector database that enables developers to build AI-native applications with improved search capabilities, reduced hallucination, and enhanced data security. It supports hybrid search, RAG, and generative feedback loops.

• Freemium
• From 25$

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

CodableAI is a comprehensive vector database platform offering advanced APIs for embedding generation, vector search, and database management. It enables businesses to create real-time AI applications with capabilities for processing up to 80K tokens and managing up to 50 million vectors.

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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$

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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Faiss is a library developed by Meta AI for efficient similarity search and clustering of dense vectors, supporting large datasets and GPU acceleration.

• Free

Zilliz Cloud is a fully-managed vector database service built on Milvus, designed for speed, scalability, and high performance in AI applications.

• Freemium
• From 99$

CrateDB is a unified data layer designed for real-time analytics, search, and AI applications. It enables users to ingest, query, and analyze diverse data types, including time-series, JSON, vectors, and relational data, at scale.

• Freemium
• From 173$

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

InfiniFlow is a high-performance database solution designed specifically for LLM applications, offering hybrid search capabilities across dense embedding, sparse embedding, tensor, and full-text data with millisecond-level latency.

• Other

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

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

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