Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model ...
A proof of concept that pairs Meta's V-JEPA 2, a self-supervised video "world model," with Qdrant, using the vector search engine to search, evaluate, and compress the model's output. Measured on ...
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