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Qdrant Loader
Builds searchable knowledge bases from multiple data sources by loading data into a Qdrant vector database with MCP server support.
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Qdrant Loader is a comprehensive toolkit designed to streamline the process of building searchable knowledge bases. It facilitates the collection and vectorization of technical content from diverse sources, storing it within a Qdrant vector database. The included MCP server enhances LLM application integration, providing seamless RAG capabilities to tools like Cursor IDE, enabling more intelligent and context-aware search experiences.
Developer Tools
Data Science & ML
