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RAG - augment is a text analysis tool designed to rerank documents based on a query. It leverages advanced AI algorithms to enhance the relevance and accuracy of search results, ensuring users receive the most pertinent information for their queries. By focusing on improving search efficiency, RAG - augment is particularly useful for applications requiring precise and context-aware document retrieval.
What does RAG - augment do exactly?
RAG - augment reranks a set of documents based on a specific query, improving the relevance of search results by leveraging AI algorithms.
What types of documents can RAG - augment process?
RAG - augment supports a wide range of document formats, including plain text, PDF, Word documents, and more.
Can I customize the ranking criteria in RAG - augment?
Yes, users can customize the relevance models in RAG - augment to align with specific requirements, such as prioritizing certain keywords or adjusting ranking weights.