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Hashtag is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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Hashtag

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Hashtag is a knowledge-based Q&A system powered by a large language model (LLM), offering out-of-the-box data processing and model-calling capabilities. It also supports visual workflow orchestration via Flow to enable complex Q&A scenarios!

cloud document development project

🛸 Use Online

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💡 RoadMap

1 Application Orchestration Capabilities

  • Dialog workflows, plugin workflows
  • Tool calling
  • Code sandbox
  • Loop calling
  • User selection
  • Form input

2 Knowledge Base Capabilities

  • Multi-library reuse and mixing
  • Chunk record modification and deletion
  • Supports manual input, direct segmentation, QA split import
  • Supports txt, md, html, pdf, docx, pptx, csv, xlsx (can PR more file loaders), URL reading, CSV batch import
  • Mixed retrieval & re-ranking
  • API knowledge base
  • Custom file reading service
  • Custom chunking service

3 Application Debugging Capabilities

  • Single-point search test in the knowledge base
  • Feedback and modification during dialogs
  • Full context display
  • Full module intermediate value display
  • Advanced orchestration debug mode

4 OpenAPI Interface

  • Completions interface (chat mode aligned with GPT interface)
  • Knowledge base CRUD
  • Dialog CRUD

5 Operational Capabilities

  • Shareable window without login
  • One-click embed via Iframe
  • Chat window embed with custom icons, default opening, dragging, etc.
  • Unified dialog history review and data annotation

6 Miscellaneous

  • Supports voice input and output (configurable)
  • Fuzzy input suggestions
  • Template marketplace
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👨‍💻 Development

Project tech stack: NextJs + TS + ChakraUI + MongoDB + PostgreSQL (PG Vector plugin)/Milvus

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🏘️ Community Group

Scan to join the Feishu topic group:

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🏘️ Join Us

We are looking for like-minded individuals to accelerate Hashtag's development. Learn more about Hashtag 2025 Recruitment.

💪 Related Projects

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🌿 Third-Party Ecosystem

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👀 Additional Resources

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🤝 Contributing

We welcome all forms of contribution. If you’re interested in contributing code, check out our GitHub Issues to showcase your creativity and ideas.




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New participants of labring - past 28 days
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License

This repository follows the Hashtag Open Source License.

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Hashtag is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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