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Vector Databases

10 providers in this category.

Vector databases store embeddings and run fast similarity search: the retrieval layer behind semantic search and retrieval-augmented generation for AI applications. They suit teams building search, recommendations, or LLM apps that need nearest-match lookups across millions of vectors at low latency. Some add hybrid vector-plus-keyword search for relevance and serverless delivery that scales with usage.

Companies

Neutral ordering. Not a recommendation.

10 results

Chroma

www.trychroma.com

Chroma is an open-source embedding database designed for building AI applications with retrieval, popular for prototyping and retrieval-augmented generation.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Open-source & self-hostableFree tier, Free plan available

LanceDB

www.lancedb.com

LanceDB is an open-source, embedded vector database built on the Lance columnar format, combining vector, full-text (BM25), and SQL queries in one in-process system for multimodal data.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Open-source & self-hostableFree tier, Free plan available

Marqo

www.marqo.ai

Marqo is an open-source, end-to-end vector and tensor search engine that handles embedding generation, storage, and retrieval through a single API, with a managed Marqo Cloud option.

$$ Midusage-based pricing
Strengths
Openness, Open-source & self-hostableFree tier, Free plan availableCapability, Hybrid search +1

pgvector

github.com/pgvector/pgvector

pgvector is an open-source PostgreSQL extension that adds vector data types and similarity-search indexes directly to a Postgres database, rather than being a standalone service.

$ BudgetFree · Last reviewed May 2026
Strengths
Openness, Open-source & self-hostableFree tier, Free plan availableMaturity, operating 5 years

Pinecone

www.pinecone.io

Pinecone is a managed vector database for storing and searching embeddings, used to power semantic search, recommendations, and retrieval for AI applications.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Free tier, Free plan availableMaturity, operating 7 years

Qdrant

qdrant.tech

Qdrant is an open-source vector database and similarity-search engine written in Rust, available both self-hosted and as a managed service.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Open-source & self-hostableFree tier, Free plan availableMaturity, operating 5 years

turbopuffer

turbopuffer.com

turbopuffer is a serverless vector and full-text search database built on object storage, designed for very large scale (billions of vectors) at low cost.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Self-hostable

Vespa

vespa.ai

Vespa is an open-source platform for serving large-scale search, recommendation, and vector workloads with low latency, originally developed at Yahoo.

$$ Midusage-based pricing
Strengths
Openness, Open-source & self-hostableFree tier, Free plan availableCapability, Hybrid search +1Maturity, operating 9 years

Weaviate

weaviate.io

Weaviate is an open-source vector database with built-in vectorization modules and strong hybrid search, available both self-hosted and as a managed service.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Open-source & self-hostableFree tier, Free plan availableMaturity, operating 7 years

Zilliz (Milvus)

zilliz.com

Zilliz Cloud is the managed service for Milvus, the CNCF-graduated open-source vector database built for large-scale similarity search.

$ Budgetusage-based pricing
Strengths
Capability, Serverless +2Openness, Open-source & self-hostableFree tier, Free plan availableMaturity, operating 9 years