DocsGPT

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

17.7k
Stars
+355
Gained
2.0%
Growth
Python
Language

💡 Why It Matters

DocsGPT addresses the challenge of creating efficient AI-driven agents and assistants for enterprise search and document analysis. It is particularly beneficial for ML/AI teams looking to streamline their workflows and enhance information retrieval capabilities. With over 17,000 stars, it indicates a solid level of community interest and support, suggesting that it is a production-ready solution. However, teams focused solely on simple chatbots or those requiring extensive customisation may find it less suitable.

🎯 When to Use

This is a strong choice when teams need a robust open source tool for engineering teams that can handle complex document analysis and multi-model support. Consider alternatives if your needs are limited to basic AI functionalities or if you require a highly tailored solution.

👥 Team Fit & Use Cases

Roles such as machine learning engineers, data scientists, and AI developers can effectively utilise DocsGPT. It is typically integrated into products and systems focused on enterprise search, automated document processing, and intelligent agent development.

🎭 Best For

🏷️ Topics & Ecosystem

agent-builder agents ai chatgpt docsgpt hacktoberfest hacktoberfest2025 information-retrieval language-model llm machine-learning natural-language-processing python pytorch rag react search semantic-search transformers

📊 Activity

Latest commit: 2026-02-12. Over the past 96 days, this repository gained 355 stars (+2.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.