Connect Your Vector DB Provider

Store and Search Embeddings with a Vector Database

Intucart relies on a vector database to store and quickly retrieve the embeddings created by your AI provider—think of it as a high-speed library for your store’s AI brain, holding product and user data (e.g., descriptions, purchase history). Providers like Pinecone or Zilliz (coming soon) handle this efficiently, enabling fast, accurate searches and real-time recommendations by matching similar embeddings (e.g., finding products close to “cozy jacket” in vector space).

• Choose your vector DB: Pinecone excels at scalable, cloud-based storage, while Zilliz (coming soon) offers cost-effective options with free tiers—both need an API key and endpoint. See Configuring Pinecone or Configuring Zilliz for setup details.

• Navigate to Intucart > Settings > Pinecone Settings—input your API key (e.g., Pinecone’s “xyz789”), then save.

• Once connected, Intucart syncs embeddings here—Free tier supports AI powered semantic search; Pro/Enterprise add product recommendations and other features—verify with a product page test.