Vector & Data Stores

Vector databases, hybrid search engines and embedding storage layers.

Tools in this category

Chroma

The shortest distance from pip install to a working retriever — which is why nearly every RAG tutorial starts here.

Prototypes, notebooks, and single-node applications under a few million vectors Read more →

Vector & Data Stores ★ 24.0k

Qdrant

Rust vector database with payload filtering — strong when metadata matters as much as similarity.

Filtered vector search and hybrid retrieval Read more →

Vector & Data Stores ★ 35.0k

Milvus

Distributed vector database built for billion-scale — the choice once one node stops being enough.

Billion-scale, horizontally scaled vector search Read more →

Vector & Data Stores ★ 13.0k

Weaviate

Vector database with built-in embedding modules — less glue code in your ingestion path.

Teams wanting integrated vectorisation + hybrid search Read more →

Vector & Data Stores ★ 17.0k

pgvector

Vectors inside the Postgres you already run — the right answer until it is not.

Millions-scale vectors with existing Postgres Read more →

Notes in this category

Vector & Data Stores 2026-09-18

Choosing a vector store: four questions that settle it

Published benchmark tables compare recall on public datasets, which is not your dataset, your filters, or your query distribution. Four operational questions decide it instead.