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Improving RAG with Metadata Filtering
Meta-data filtering augments the efficiency of information retrieval systems. It is about adding metadata to chunks.
By incorporating meta-data into data chunks, it becomes feasible to refine and process search results with greater precision. Meta-data, essentially data about data, serves as a powerful tool to categorize, sort, and filter information based on various attributes.
One of the most commonly used meta-data tags is the date. The inclusion of date tags is particularly beneficial in applications requiring temporal relevance, such as email querying systems.
In scenarios where users seek to retrieve information from their email history, the recency of emails often correlates with their relevance to the user’s current needs.
However, it is crucial to acknowledge that similarity in content or structure does not necessarily equate to relevance. This distinction underscores the principle that similar does not always mean relevant.
The process of appending date meta-data to each email facilitates a more targeted…
