Integrations

Elasticsearch’s vector database offers an efficient way to create, store, and search vector embeddings at scale. Create Elasticsearch indexes, upload vectors, and run similarity queries programmatically and via the FiftyOne App.

LanceDB is a serverless vector database with deep integrations with the Python ecosystem. Create LanceDB tables and run similarity queries programmatically or via the FiftyOne App.

Milvus makes unstructured data search more accessible and provides a consistent user experience. Create Milvus collections, upload vectors, and run similarity queries programmatically and via the FiftyOne App.

MongoDB
Atlas Vector Search enables building semantic search and AI-powered applications. Create MongoDB vector search indexes, add/remove vectors, and run similarity queries programmatically and via the FiftyOne App.

Pinecone provides a fully managed, developer-friendly, easily scalable vector database. Create Pinecone indexes, upload vectors, and run similarity queries programmatically and via the FiftyOne App.

Qdrant vector database & vector similarity search engine provides search for the nearest high-dimensional vectors. Create Qdrant collections, upload vectors, and run similarity queries, both programmatically and via the FiftyOne App.

Redis Vector Search enables the storage of vectors and the associated metadata within hashes or JSON to perform vector similarity searches. Create Redis vector search indexes, upload vectors, and run similarity queries programmatically or via the FiftyOne App.