FAISS Vector Store Creator

The node generates a FAISS vector store by processing a string column containing documents with the provided embeddings model. For each document, the embeddings model extracts a numerical vector that represents the semantic meaning of the document. These embeddings are then stored in the vector store, along with their corresponding documents. Downstream nodes, such as the Vector Store Retriever node, utilize the vector store to find documents with similar semantic meaning when given a query.


Document column

Select the column containing the documents to be embedded.

Input Ports


The embeddings model to use for the vector store.


Table containing a string column representing documents that will be used in the vector store.

Output Ports


The created FAISS vector store.

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