VectorStore To Document Loader

VectorStore To Document Loader Node in Agentflow V2

VectorStore To Document Node v V2

The VectorStore To Document loader allows you to reverse-query a Vector Store. Instead of using documents to build a vector store, you can query an existing vector store to retrieve relevant document chunks based on semantic similarity.

Inputs

  • Vector Store: The target Vector Store node you wish to retrieve documents from.
  • Top K: The number of top-matching search results to return (integer).
  • Minimum Score (optional): The threshold similarity score required to include a document.
  • Additional Metadata (optional): JSON object to append additional metadata.

Outputs

  • Document: Array of document objects containing metadata and pageContent retrieved from the Vector Store.
  • Text: Concatenated string of the retrieved semantic chunks.

Features

  • Direct conversion of vectors back to raw Langchain document formats.
  • Filtered retrieval using similarity thresholds.
  • Compatible with all Agentflow V2 supported Vector Stores (Pinecone, Weaviate, Milvus, Qdrant, PGVector, etc.).
  • Preserves original metadata attached to the vector embeddings.

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