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Contextual Retrieval
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
By leveraging both BM25 and embedding models, traditional RAG systems can provide more comprehensive and accurate results, balancing precise term matching with broader semantic understanding. TF-IDF (term frequency-inverse document frequency) measures word importance and forms the basis for BM25.This approach allows you to cost-effectively scale to enormous knowledge bases, far beyond what could fit in a single prompt. For example, imagine you had a collection of financial information (say, U.S. SEC filings) embedded in your knowledge base, and you received the following question:"What was the revenue growth for ACME Corp in Q2 2023?"
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