Vector Store Retriever

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Node Details

• Name: vectorStoreRetriever
• Type: VectorStoreRetriever
• Category: Retrievers
• Version: 1.0

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Input Parameters

1. Vector Store
   • Label: Vector Store
   • Name: vectorStore
   • Type: VectorStore
   • Description: The vector store to be used as the basis for the retriever.
2. Retriever Name
   • Label: Retriever Name
   • Name: name
   • Type: string
   • Placeholder: “netflix movies”
   • Description: A unique identifier for the retriever.
3. Retriever Description
   • Label: Retriever Description
   • Name: description
   • Type: string
   • Rows: 3
   • Description: A brief explanation of when to use this specific vector store retriever.
   • Placeholder: “Good for answering questions about netflix movies”

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Output

• The provided vector store
• The specified name
• The given description

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Usage

1. You have pre-processed data stored in a vector format.
2. You need to retrieve this data efficiently based on similarity searches.
3. You want to integrate this retrieval mechanism into a larger question-answering or information retrieval system.

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Integration

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Implementation Notes

• The node uses the VectorStore class from ‘@langchain/core/vectorstores’.
• It implements the INode interface, ensuring compatibility with the broader node-based architecture.
• The init method is responsible for creating and returning the VectorStoreRetriever object based on the provided inputs.

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Best Practices

• Provide clear and descriptive names for your retrievers to easily identify them in complex workflows.
• Use the description field to specify the domain or type of questions this retriever is best suited for.
• Ensure that the vector store provided is properly initialized and contains relevant, high-quality data for optimal retrieval performance.