Integrate Pinecone into your AI workflows

Pinecone is a vector database designed for efficient similarity search and storage of high-dimensional data, commonly used in machine learning and AI applications.

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Triggers & Actions

Delete Documents

Delete documents from the vector store by metadata

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Load Documents

Loads documents into the vector store using LLM embeddings.

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Search Documents

Query documents from the vector store using LLM embeddings.

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Update Documents

Updates documents in the vector store by deleting existing ones matching the metadata filter and loading new ones using LLM embeddings.

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Templates using Pinecone

Load a folder of Markdown files into Pinecone for RAG

Lists all files in a local documentation directory recursively, then loops over each file, reads its contents, and loads it into a Pinecone vector database as a Markdown document, building a searchable knowledge base for retrieval-augmented generation.

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