Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
ClaudSkills › Arcade › Vector Databases

Vector Databases

Embedding storage and similarity search for RAG.

Vector databases store embeddings and serve nearest-neighbor search for RAG pipelines. Choices range from managed serverless (Pinecone) to OSS self-host (Qdrant, Weaviate, Chroma) to embedded-in-Postgres (pgvector) to multimodal columnar (LanceDB).

6 entries · alphabetic · free tier (Pro adds Quality Score ranking)

Chroma

pip

Embeddable OSS vector DB with a developer-friendly Python API and zero-config defaults.

vector-db rag embeddedApache-2.01 source

LanceDB

pip

Multimodal, embedded OSS vector DB with columnar storage and zero-copy queries.

vector-db rag embeddedApache-2.01 source

pgvector

link

Vector similarity search as a PostgreSQL extension. The 'boring tech' pick for RAG.

vector-db rag postgresPostgreSQL1 source

Pinecone

pip

Managed serverless vector DB — fast, scalable, and category-leader for production RAG.

vector-db rag managedproprietary1 source

Qdrant

mcp · docker

Rust-based OSS vector DB with payload filtering and hybrid search; self-host or cloud.

vector-db rag open-sourceApache-2.01 source

Weaviate

pip

OSS vector DB with hybrid BM25+vector search and modular embedding adapters.

vector-db rag hybrid-searchBSD-3-Clause1 source
ClaudSkills Arcade · All categories · Catalog JSON · Public API · CC BY 4.0