Chat with your enterprise data using LLM vs DocsGPT
Side-by-side comparison of two AI agent tools
Short answer
- Chat with your enterprise data using LLM has had no commit in 21 months; DocsGPT is actively maintained (1,356 commits in the last 90 days).
- DocsGPT is growing faster: +80 GitHub stars in the last 30 days vs +-0 for Chat with your enterprise data using LLM.
- Pick Chat with your enterprise data using LLM for: open-source sample for chatting with uploaded enterprise data using Azure OpenAI and vector search. Pick DocsGPT for: private AI platform for agents, assistants and enterprise search.
From GitHub data refreshed daily.
Chat with your enterprise data using LLMopen-source
Open-source sample for chatting with uploaded enterprise data using Azure OpenAI and vector search
DocsGPTopen-source
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.
Metrics
| Chat with your enterprise data using LLM | DocsGPT | |
|---|---|---|
| Stars | 865 | 18.3k |
| Star velocity /mo | -0.4736842105263158 | 80.05263157894737 |
| Commits (90d) | 0 | 1.4k |
| Releases (6m) | 0 | 9 |
| Downloads (30d, npm + PyPI) | — | 1.2K |
| Overall score | 0.12103260760690508 | 0.6993483271554785 |
Pros
- +Supports multiple vector stores (Pinecone, Redis, Azure Cognitive Search) providing flexibility in deployment options
- +Includes comprehensive evaluation framework with Prompt Flow integration and metrics like groundedness and Ada similarity
- +Active development with regular updates and refactoring to improve core functionality and remove complexity
- +支持多种文件格式包括音频处理，提供全面的文档分析能力
- +开源架构支持完全私有部署，确保数据安全和隐私控制
- +集成多种AI模型提供商和丰富的API工具连接，扩展性强
Cons
- -Designed as a sample application rather than production-ready solution, requiring additional development for enterprise deployment
- -Specifically tied to Azure OpenAI Service, limiting flexibility in LLM provider choice
- -Has undergone multiple refactoring cycles that removed features, suggesting potential instability in feature set
- -作为开源项目，需要一定的技术知识进行部署和配置
- -企业级技术支持可能相对有限，依赖社区维护
- -多模型配置和管理可能增加系统复杂性
Use Cases
- •Enterprise document Q&A systems where employees need to query internal knowledge bases using natural language
- •Internal chatbots for customer support teams to quickly access company policies and procedures
- •Research and development teams building custom RAG applications for proprietary data analysis
- •企业内部文档搜索和知识管理系统构建
- •智能客服机器人开发，支持多格式文档查询
- •会议录音和语音笔记的智能分析与知识提取
FAQ
- Which is more popular, Chat with your enterprise data using LLM or DocsGPT?
- DocsGPT has more GitHub stars (18,302 vs 865).
- Which is more actively developed, Chat with your enterprise data using LLM or DocsGPT?
- DocsGPT had more commits in the last 90 days (1,356 vs 0).
- Should I use Chat with your enterprise data using LLM or DocsGPT?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.