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Nappai Documentation

Data Retrieval Chain

The Data Retrieval Chain is a component within the Nappai automation system that helps users efficiently manage and retrieve large volumes of data from a vector store. By processing data in batches, it optimizes performance and ensures smooth data management.

Inputs

  • Inherited Inputs: The component uses inputs inherited from the BaseDataBatchRetrievalChain. These inputs are not specified directly but are essential for configuring data batches and retrieval processes.

Outputs

The component produces an output named “Data,” which represents the processed and retrieved data from the vector store. This output can be used by other components or processes within a larger workflow to further analyze or manipulate the data.

Usage Example

Imagine you have a large dataset stored in a vector store, and you need to retrieve specific information for analysis. By using the Data Retrieval Chain, you can efficiently process and retrieve this data in manageable batches, ensuring that your system remains responsive and efficient.

Templates

Currently, there are no specific templates where this component is pre-configured. However, it can be integrated into custom workflows within the Nappai system.

  • libSQLRetrieverTool: A tool for interacting with libSQL Retriever.
  • Embedding Similarity: Computes similarity between two embedding vectors.
  • SQLite: Interacts with SQLite databases.
  • Cassandra: A vector store with search capabilities.
  • Supabase: A vector store with search capabilities.
  • Milvus: A vector store with search capabilities.
  • MongoDB Atlas: A vector store with search capabilities.
  • Pinecone: A vector store with search capabilities.
  • Qdrant: A vector store with search capabilities.
  • Astra DB: A vector store with search capabilities.
  • Redis: A vector store with search capabilities.
  • Weaviate: A vector store with search capabilities.
  • FAISS: A vector store with search capabilities.
  • Chroma DB: A vector store with search capabilities.

Tips and Best Practices

  • Use the Data Retrieval Chain when dealing with large datasets to improve performance.
  • Combine this component with other data processing tools in Nappai for comprehensive data management.

Security Considerations

Ensure that access to the vector store is secured and that only authorized users can retrieve data using this component. Regularly update security protocols to protect sensitive information.