Vector Databases

Quick answer

Vector database choice depends on deployment scale and retrieval shape. Qdrant fits production vector search with filtering, Milvus fits distributed deployments, Weaviate fits AI-native schemas and hybrid search, Chroma fits prototypes and embedding apps, and pgvector fits teams keeping retrieval inside PostgreSQL.

Top picks in Vector Databases

Qdrant
Vector filtering
Fits production vector search where payload filtering, hybrid retrieval, and straightforward deployment are important.
Milvus
Distributed scale
Fits teams planning large distributed vector search with multiple index types and broad AI stack integrations.
Weaviate
AI-native schema
Fits teams that want schema-driven collections, hybrid keyword and vector retrieval, and optional model integrations.
Chroma
RAG prototypes
Fits developers building embedding applications quickly with a simple API, local workflows, and metadata filters.
pgvector
PostgreSQL teams
Fits teams that already rely on PostgreSQL and want vector types, indexes, and similarity search inside SQL.

pgvector

Add Vector Search To PostgreSQL

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21.9K
Forks
1.2K
Last commit
23 days ago

Open-source PostgreSQL extension for vector similarity search that keeps embeddings and scraped data in the same database.

LanceDB

Serverless vector database, no server management

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8.6K
Forks
0

LanceDB is a serverless vector database built in Rust that runs embedded or in the cloud with native DataFrame integration for AI workloads.

Weaviate

AI-native vector database with built-in ML models

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15.5K
Forks
0

Weaviate is an AI-native vector database with built-in ML models for hybrid search, RAG, and semantic retrieval over scraped content.

Chroma

AI-native embedding database with simple API

Stars
25.7K
Forks
0

Chroma is an open-source embedding database with a simple API for storing and querying vectors, ideal for AI search over scraped content.

Qdrant

High-performance vector search engine in Rust

Stars
28.4K
Forks
0

Qdrant is a high-performance vector search engine built in Rust for production-grade semantic search and RAG applications.

Milvus

Open-source vector database for billion-scale AI

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42.4K
Forks
0

Milvus is an open-source vector database that handles billion-scale embeddings with GPU acceleration for AI-powered search and retrieval.

A curated collection of the best vector databases for storing embeddings and enabling semantic search over scraped content.

Quick answer

Top picks in Vector Databases