Project: datalens
81 entity types
IntegrationEndpointIntegrations

DataLens

DataLens uses PostgreSQL, DuckDB, Ollama (qwen3-coder-next model), and Qdrant for semantic search, supporting hybrid methods. It handles cross-file queries with standard schemas, is scalable, multi-tenant, privacy-focused, and primarily local, with document extraction and autonomous AI cataloging via DS-STAR and Text-to-SQL endpoint, integrated with file analysis agents. DataLens implements the batch upload pipeline capability. DataLens implements smart processing as part of its data handling capabilities. DataLens provides the unified ask interface for natural language question routing over structured and semantic data.