Dcup
An open-source RAG-as-a-Service platform for building scalable, AI-powered retrieval pipelines.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Dcup, derived from its capabilities.
Overview
Dcup is an open-source, self-hostable Retrieval-Augmented Generation (RAG) platform designed to help developers and teams build scalable, AI-powered retrieval pipelines. It enables seamless integration with data sources like Google Drive, Dropbox, and AWS, and supports advanced search capabilities including LLM re-ranking, summary indexing, and hybrid search using OpenAI embeddings and Qdrant vector storage. With its intuitive Retrieval API and modular architecture, Dcup simplifies the process of ingesting, indexing, and retrieving data, making it ideal for AI applications requiring efficient and accurate information retrieval.
Key features
- retrieval-augmented generation
- open-source
- self-hostable
- data indexing
- semantic search
- vector database
- OpenAI embeddings
- Qdrant
- modular architecture
Use cases
- Developers building AI applications that require efficient data retrieval.
- Teams needing to integrate multiple data sources into a unified search interface.
- Organizations seeking a self-hostable solution for managing and querying large datasets.
- Projects that require advanced search capabilities like semantic and keyword-based retrieval.