Enables natural-language interaction with Actian VectorAI DB for creating collections, ingesting documents, and performing semantic search, with server-side embeddings.
Enables interaction with KDB.AI through natural language for vector database operations, similarity searches, hybrid search, and advanced data analysis.
Enables interaction with Pinecone vector databases for storing and searching embeddings. Supports similarity search, metadata filtering, and vector operations for semantic search and RAG applications.