Agent infrastructure

Elasticsearch as a vector database, combining vector search with hybrid lexical search, filters and reranking.

Library for efficient similarity search and clustering of dense vectors, with optional GPU support.

Open-source vector similarity search engine and database written in Rust, with a managed cloud.

Open-source, cloud-native vector database for semantic search, RAG and hybrid queries.

Open-source vector similarity search extension for Postgres that stores vectors alongside relational data.

Open-source, embedded vector search and multimodal lakehouse built on the Lance columnar format.

Open-source platform for search, ranking and ML inference over vectors, tensors, text and structured data.

PostgreSQL extension that builds on pgvector with a DiskANN-style index and label-filtered vector search.

Open-source, cloud-native distributed vector search engine for approximate nearest neighbor search.

Build vector databases on Redis, with vector search combined with exact-match and full-text search.

Database for AI with a deep-learning storage format for embeddings, media and datasets, plus vector search.

Small SQLite extension that adds vector search to SQLite tables, written in pure C with no dependencies.

Managed search database for AI agents and apps, covering semantic, sparse, full-text and hybrid queries.

Open source vector database for AI apps, built on Postgres with pgvector and available self-hosted or managed.

Fully managed Milvus vector database service with serverless and dedicated deployment options.

Search database for vector and full-text queries, built on object storage and available as a Python client.

Object storage with native vector storage and querying for AI agents, RAG and semantic search.

Vector and hybrid search built into MongoDB, running on the same operational data as the database.

Globally distributed vector database for building AI applications on Cloudflare Workers.

Hybrid retrieval engine built on object storage, with semantic, keyword, dense, sparse and multi-vector search.

Serverless vector database with dense, sparse and hybrid indexes for semantic and keyword search.

Apache Cassandra-based NoSQL database with vector search for generative AI workloads.

Open-source data infrastructure for AI that stores embeddings and runs vector, full-text and metadata search.

Vector Search engine built on Google Research's ScaNN algorithm for semantic search and recommendations.