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DocsGPT Project Description

What is the project about?

DocsGPT is an open-source RAG (Retrieval-Augmented Generation) assistant that provides users with reliable answers from various knowledge sources, minimizing hallucinations. It's designed for quick and accurate information retrieval, incorporating tooling and agentic system capabilities.

What problem does it solve?

DocsGPT addresses the challenge of obtaining accurate and contextually relevant information from large document sets or knowledge bases. It reduces the risk of AI models generating incorrect or fabricated information ("hallucinations") by grounding responses in retrieved source material.

What are the features of the project?

  • Wide Format Support: Handles various document formats (PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, images).
  • Web & Data Integration: Ingests data from URLs, sitemaps, Reddit, GitHub, and web crawlers.
  • Reliable Answers: Provides accurate, hallucination-free responses with source citations.
  • Streamlined API Keys: Simplifies chatbot and integration setup with generated API keys.
  • Actionable Tooling: Enables LLM actions by connecting to APIs, tools, and other services.
  • Pre-built Integrations: Offers ready-to-use chat widgets, search tools, and bots (Discord, Telegram).
  • Flexible Deployment: Compatible with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).
  • Secure & Scalable: Supports private and secure deployment with Kubernetes, designed for enterprise use.

What are the technologies used in the project?

  • Docker
  • Flask (Python web framework)
  • Vite
  • React
  • LLMs: OpenAI, Google, Anthropic, Ollama, llama_cpp
  • Kubernetes

What are the benefits of the project?

  • Accuracy: Reduces AI hallucinations, providing reliable information.
  • Efficiency: Speeds up information retrieval from diverse sources.
  • Flexibility: Supports various document types, data sources, and LLMs.
  • Scalability: Designed for enterprise-level deployment and usage.
  • Security: Allows for private and secure operation.
  • Extensibility: Offers pre-built integrations and supports custom tooling.

What are the use cases of the project?

  • Customer Support: Providing quick and accurate answers to customer inquiries.
  • Research: Assisting researchers in finding relevant information from large datasets.
  • Technical Documentation: Enabling users to easily query and understand technical documentation.
  • Knowledge Management: Creating a centralized, searchable knowledge base for organizations.
  • Content Creation: Supporting content creators with accurate information retrieval.
  • Education: Helping students and educators find answers and learn from various sources.
DocsGPT screenshot