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Web interfaces for managing the indexing of documents and retrieval settings of vector databases.
Distinct from Vector Database Integrations: Focuses on the administrative UI for vector store management, not just the technical connector
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This project is an agentic retrieval-augmented generation platform and orchestration framework designed to connect large language models to private enterprise data. It serves as a self-hosted AI gateway that integrates vector databases and external tools to automate complex information retrieval and generation tasks. The system differentiates itself through an AI agent workflow builder that orchestrates multiple specialized agents with distinct roles to solve multi-step problems. It includes a dedicated vector database integration interface for indexing private documents and a secure sandbox
Provides a web interface for indexing private documents into vector stores and managing retrieval behavior.