Deixe agentes de IA cuidarem dos seus apps de vector-databases.

Connect your AI agent to AWS Bedrock Knowledge Bases — execute semantic searches, managed RAG, and sync vector datasources natively.

Manage vector embeddings and SQL via ClickHouse — list databases, execute SQL, and perform high-speed vector searches directly from any AI agent.

Empower vector search via Elasticsearch — perform dense vector kNN searches, handle index mappings, and index embedding documents directly from any AI agent.

Manage vector storage via MongoDB Atlas — perform similarity searches, query MQL documents, and audit collections.

Run vector similarity searches, manage embedding tables, and build AI-powered retrieval pipelines — all directly inside your existing PostgreSQL database.

Equip your AI agent to manage your Pinecone vector databases. Query embeddings, fetch metrics, manage collections, and run stats natively via chat.

Manage vector embeddings via Chroma — list collections, query embeddings, and audit document counts directly from any AI agent.

Manage vector search and NoSQL via Couchbase — execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.

Manage vectorized data via LanceDB — perform similarity searches, create tables, and manage multi-modal embeddings.

Connect your AI to Supabase Vector. Execute pgvector semantic searches, manage embeddings, and run relational database queries directly from your terminal.

Bring Google's massive vector matching power to your AI agent. Search billions of semantic embeddings and administer Vertex Index endpoints directly in chat.

Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.

Manage Astra DB collections, documents, and perform vector similarity searches via DataStax directly from your AI agent.

Manage semantic search via Marqo — execute tensor queries, index JSON documents, and audit vector indices.

Manage vector storage via Milvus — perform ANN searches, query scalar entities, and audit collections.

Equip your AI agent to natively interact with your SingleStore database. Execute raw SQL queries, perform semantic vector searches, list workspaces, and audit billing directly from the terminal.

Empower your agent with Vectara's RAG capabilities. Search corpora natively, execute grounded chats, and manage indexed datasets easily.

Search and manage vector data on Weaviate — the AI-native database for building production-grade AI applications.

Manage vector collections and perform similarity searches via Zilliz Cloud.

Connect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.

Power your agent with Vald — query, insert, and manage dense vectors on a highly scalable, distributed nearest-neighbor engine.