qdrant-clients-sdk
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Milvus/Elasticsearch/OpenSearch/pgvector/s3/Azure/Chroma/Redis/MongoDB/FAISS/Solr
$ npx -y skills add qdrant/skills --skill qdrant-migration-tool --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/qdrant-migration-toolContext preview
The summary Claude sees to decide when to auto-load this skill.
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Milvus/Elasticsearch/OpenSearch/pgvector/s3/Azure/Chroma/Redis/MongoDB/FAISS/Solr
name: qdrant-migration-tool description: "Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Milvus/Elasticsearch/OpenSearch/pgvector/s3/Azure/Chroma/Redis/MongoDB/FAISS/Solr to Qdrant', 'move my vector database to Qdrant', 'is there a migration tool for Qdrant', 'my migration got interrupted, how do I resume it', 'migration is too slow', or 'collection wasn't created after migration'. Also use when picking migration batch size, deciding on `--net=host`, or verifying data after a migration."
The tool is a Docker container (`registry.cloud.qdrant.io/library/qdrant-migration`), not a library you import. It streams data in batches through the machine it runs on rather than connecting source and target directly, and it resumes by default rather than restarting from scratch. [Migrate to Qdrant](https://skills.qdrant.tech/md/documentation/migrate-to-qdrant/)
Use when: starting a new migration and choosing the source-specific CLI subcommand.
Use when: either the source or target database runs on the same machine as the migration container.
Use when: a migration stopped partway through and needs to continue, or needs to be re-run from zero.
Use when: throughput is too low for the size of the source dataset.
Use when: the migration command finished and data needs to be trusted before cutting over traffic.
Agent skills for building with Qdrant vector search 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
Repo: qdrant/skills
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
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