Qdrant is an open-source vector database built for fast similarity search over embeddings. The NoClick Qdrant node covers the full lifecycle of a collection: create and update collections, upsert points, run vector queries and recommendations, retrieve or scroll through results, and manage the payload metadata and indexes attached to each point. It can also take a document, embed it, and index it in a single step with Upload and Index Document. Drop it into a workflow to keep a semantic search index in sync without writing client code.
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