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Vector Store Data Extractor

KNIME LabsAIVector Stores
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Extracts the documents, embeddings and metadata from a vector store into a table. This table can be combined with tables extracted from other vector stores to merge multiple vector stores into one by creating a new vector store from the combined table.

Note : If you use the Credentials Configuration node and do not select the "Save password in configuration (weakly encrypted)" option for passing the API key for the embeddings connector node, the Credentials Configuration node will need to be reconfigured upon reopening the workflow, as the credentials flow variable was not saved and will therefore not be available to downstream nodes.

Node details

Input ports
  1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
    Vector Store

    The vector store to extract data from.

Output ports
  1. Type: Table
    Extracted Data

    The data stored inside of the vector store.

Extension

The Vector Store Data Extractor node is part of this extension:

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Related workflows & nodes

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