Qdrant

Databases AI Productivity

Qdrant is a high-performance vector database built for semantic search and knowledge retrieval. It stores embeddings (vector representations of your data) and enables rapid similarity matching—making it ideal for powering chat, search, recommendation, and retrieval-augmented generation (RAG) experiences. Teams use Qdrant to manage evolving knowledge with flexible upserts and deletions, while maintaining fast, scalable lookups for AI applications.

Connect Qdrant so BOBs can build and maintain a semantic “brain” for your business data. BOBs can search your stored knowledge by meaning (not just keywords), fetch the most relevant points for a task, and insert or refresh knowledge as new information arrives—keeping responses and automations aligned with the latest reality.

With this, BOBs can support use cases like intelligent internal search, RAG-backed support and SOP answering, dynamic FAQ/knowledge-base enrichment, and automated document-to-embedding pipelines. Instead of relying on static lists, BOBs can continuously refine what they retrieve and use, improving accuracy over time as your content changes.

What can BOBs do with Qdrant?

Perform actions

  • Delete Points
  • Get Points
  • List Collection Name Options
  • Search Points
  • Upsert Point