Qdrant

Qdrant is employed as a vector database for document semantic search in DataLens, storing embeddings of text chunks. It facilitates similarity search and retrieval for RAG functions, integrating with the platform's API and backend for fast document similarity ranking, supporting document retrieval and hybrid search capabilities, and is hosted on elin at port 6333. Qdrant indexes embeddings generated from text chunks stored in DuckDB, enabling semantic search in the platform. Semantic Search using nomic-embed-text relies on Qdrant vector database for vector storage and search. RAGAgent stores embeddings in the Qdrant vector database for retrieval.