npx claudepluginhub qdrant/skills --plugin qdrantThis skill is limited to using the following tools:
First determine whether the problem is the embedding model, Qdrant configuration, or the query strategy. Most quality issues come from the model or data, not from Qdrant itself. If search quality is low, inspect how chunks are being passed to Qdrant before tuning any parameters. Splitting mid-sentence can drop quality 30-40%.
Optimizes Qdrant performance via search speed (latency/throughput), indexing, memory usage, and hardware strategies. Use to improve vector search deployment speed and efficiency.
Tunes vector indexes for latency, recall, and memory using HNSW parameters, quantization strategies, and scaling guidelines up to billions of vectors.
Optimizes vector indexes for latency, recall, and memory usage. Tunes HNSW parameters, selects quantization strategies, and scales vector search infrastructure.
Share bugs, ideas, or general feedback.
First determine whether the problem is the embedding model, Qdrant configuration, or the query strategy. Most quality issues come from the model or data, not from Qdrant itself. If search quality is low, inspect how chunks are being passed to Qdrant before tuning any parameters. Splitting mid-sentence can drop quality 30-40%.
Isolate the source of quality issues, tune HNSW parameters, and choose the right embedding model. Diagnosis and Tuning
Hybrid search, reranking, relevance feedback, and exploration APIs for improving result quality. Search Strategies