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Nappai Documentation

Ensemble Retriever

The Ensemble Retriever component is designed to enhance search capabilities by combining results from multiple retrievers, providing more robust and accurate searches. This component is part of the Nappai automation system, which helps users automate tasks and processes in their data management systems and applications.

Relationship with Nappai

The Ensemble Retriever is a key component within the Nappai system, leveraging its ability to call multiple retrievers and combine their results. This integration allows users to perform more comprehensive searches by utilizing the strengths of different retrievers.

Inputs

  • Search Query: The search term or phrase you want to use to find documents.
  • Number of Results: Specifies how many search results you want to receive. The default is 20.
  • Retrievers: A list of retrievers that will be combined to perform the search. This input is mandatory.

Outputs

The component produces two main outputs:

  • Retriever: The constructed EnsembleRetriever object, which can be used for further searches.
  • Search Results: A list of documents retrieved based on the search query, providing the information you need.

Usage Example

Imagine you need to search for documents related to “climate change” in your database. You would input “climate change” as the Search Query, set the Number of Results to 10, and select the appropriate retrievers. The Ensemble Retriever will then provide you with a list of relevant documents, combining the strengths of each retriever to ensure accuracy and comprehensiveness.

Templates

Currently, there are no specific templates where this component is pre-configured. However, it can be customized and used in various automation workflows within the Nappai system.

  • NVIDIA Rerank: Enhances document ranking using the NVIDIA API.
  • Multi Query Retriever: Allows for multiple query retrievals.
  • Contextual Compression Retriever: Compresses and decompresses documents contextually.
  • RetrieverTool: A tool for interacting with retrievers.
  • Retrieval QA: Facilitates question-answering by querying sources from a retriever.

Tips and Best Practices

  • Ensure that the list of retrievers is well-curated to maximize the effectiveness of the Ensemble Retriever.
  • Use the default Number of Results setting for general searches, but adjust it based on the specificity of your query.

Security Considerations

When using the Ensemble Retriever, ensure that the data being retrieved and processed complies with your organization’s data privacy and security policies. Always verify that the retrievers you are using are secure and trusted.