Base44 Adds Native Pinecone Connector for Vector Storage
Base44 has introduced a native connector for Pinecone, enabling superagents to store and query high-dimensional vector embeddings directly within workflows. This allows for long-term memory and retrieval-augmented generation (RAG) capabilities without external API plumbing.
Why it matters: Builders can now create more context-aware AI apps that recall specific user data or document history using a dedicated vector database integration.
Base44 has introduced a native connector for Pinecone, enabling superagents to store and query high-dimensional vector embeddings directly within workflows. This allows for long-term memory and retrieval-augmented generation (RAG) capabilities without external API plumbing.
Why it matters: Builders can now create more context-aware AI apps that recall specific user data or document history using a dedicated vector database integration.