Qdrant 1.12 - Distance Matrix, Facet Counting & On-Disk Indexing

Qdrant 1.12 introduces several significant updates to enhance data exploration and indexing efficiency, including a new Distance Matrix API designed to streamline calculating pairwise distances between vectors, which is crucial for tasks like clustering and dimensionality reduction. This update also features a Faceting API to dynamically count and aggregate unique field values, akin to SQL's GROUP BY with COUNT(*), which is particularly useful in applications like e-commerce for refining search results. Additionally, the release includes on-disk support for text and geo indexes, allowing for reduced memory usage by storing indexing data on disk, making it feasible to manage large datasets without overwhelming system memory. These enhancements are complemented by new visualization options in the Graph Exploration Tool, providing clearer insights into data relationships and outliers. Together, these features aim to improve the efficiency, scalability, and usability of Qdrant for handling large-scale and complex datasets.

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