It provides a production-ready service with a convenient API to store, search, and manage
points - vectors with an additional payload. Qdrant is tailored to extended filtering support.Installation and Setup‚ÄãInstall the Python SDK:pip install qdrant-clientVector Store‚ÄãThere exists a wrapper around Qdrant indexes, allowing you to use it as a vectorstore,
whether for semantic search or example selection.To import this vectorstore:from langchain.vectorstores import QdrantFor a more detailed walkthrough of the Qdrant wrapper, see this notebookPreviousPubMedNextRay ServeInstallation and SetupVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Qdrant (read: quadrant) is a vector similarity search engine.
Qdrant (read: quadrant) is a vector similarity search engine. ->: It provides a production-ready service with a convenient API to store, search, and manage
points - vectors with an additional payload. Qdrant is tailored to extended filtering support.Installation and Setup‚ÄãInstall the Python SDK:pip install qdrant-clientVector Store‚ÄãThere exists a wrapper around Qdrant indexes, allowing you to use it as a vectorstore,
whether for semantic search or example selection.To import this vectorstore:from langchain.vectorstores import QdrantFor a more detailed walkthrough of the Qdrant wrapper, see this notebookPreviousPubMedNextRay ServeInstallation and SetupVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.