Скачать или смотреть Multi Vector Retrieval Architecture (MUVERA)

Google MUVERA, or Multi-Vector Retrieval via Fixed Dimensional Encodings, is a significant algorithm update released in June 2025 that enhances Google Search by improving its ability to understand user intent and the context of content. It achieves this by using a new Multi-Vector system that breaks down documents and queries into multiple parts, enabling a deeper, more comprehensive match of relevant information across different sources, leading to more accurate and meaningful search results.
How it works:
Beyond Single-Vector Models: Traditional search used single-vector models, where a whole page or query was summarized into one mathematical representation. This could miss nuanced details.
Multi-Vector Approach: MUVERA creates multiple vectors for different parts of a document, capturing granular meaning.
Fixed Dimensional Encoding (FDE): To maintain efficiency, MUVERA uses FDE to compress these multi-vector representations into a single, compact vector.
Deeper Matching: This allows Google to compare different parts of a user's query to corresponding parts of content on web pages, going beyond simple keyword matches.
Key Benefits:
Faster & More Accurate Results: MUVERA improves the accuracy of search results and the speed of retrieval by combining the depth of multi-vector analysis with the efficiency of single-vector systems.
Better Understanding of Intent: The algorithm provides a deeper understanding of the meaning and context behind a user's search, not just the exact words used.
Comprehensive Answers: By aggregating information from multiple sources, MUVERA can assemble comprehensive answers, even if no single web page contains all the information.