Our great sponsors
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Regarding Milvus. Well, there are a few essential differences between our projects: - Unlike Milvus, we perform filtering during the search in the vector index, which keeps retrieval complexity close to logarithmic - same as in original HNSW. - We can support complex types of filterable payloads like geo-points - it is not a trivial problem to keep the HNSW search graph connected during filtering. We solved it in our custom implementation of the HNSW index. - Unlike Milvus, we perform a query-planning phase to determine an optimal strategy of executing queries with filters - Qdrant uses Rust programming language - it gives us an advantage in avoiding stop-the-world issues of languages with garbage collection. We also have a retrieval speed benchmark - https://github.com/qdrant/benchmark.
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towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Another opensource project to mention is towhee https://github.com/towhee-io/towhee. If anyone interested on vectorization, maybe towhee is all your need.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
