FastGPT is a knowledge-based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
Go to file
Archer 9136c9306a
Add OpenAPI docs;Correct the glm document (#346)
2023-09-25 14:28:44 +08:00
.github monorepo packages (#344) 2023-09-24 18:02:09 +08:00
.husky perf: ui 2023-06-10 14:01:35 +08:00
.vscode monorepo packages (#344) 2023-09-24 18:02:09 +08:00
docSite Add OpenAPI docs;Correct the glm document (#346) 2023-09-25 14:28:44 +08:00
files google login and power share link (#292) 2023-09-13 08:49:22 +08:00
packages monorepo packages (#344) 2023-09-24 18:02:09 +08:00
projects/app Add OpenAPI docs;Correct the glm document (#346) 2023-09-25 14:28:44 +08:00
.dockerignore monorepo packages (#344) 2023-09-24 18:02:09 +08:00
.gitignore docs: update the framework of doc site (#207) 2023-08-22 11:08:28 +08:00
.prettierignore doc favicon 2023-09-04 19:45:24 +08:00
.prettierrc.js README 2023-03-28 00:48:24 +08:00
Dockerfile monorepo packages (#344) 2023-09-24 18:02:09 +08:00
LICENSE licence 2023-08-11 22:03:29 +08:00
README.md Add OpenAPI docs;Correct the glm document (#346) 2023-09-25 14:28:44 +08:00
README_en.md fastgpt char 2023-09-02 00:28:08 +08:00
package.json perf: api key (#342) 2023-09-23 20:28:03 +08:00
pnpm-lock.yaml monorepo packages (#344) 2023-09-24 18:02:09 +08:00
pnpm-workspace.yaml monorepo packages (#344) 2023-09-24 18:02:09 +08:00

fastgpt logo

FastGPT

FastGPT is a knowledge-based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!

Online · Document · Development · Deploy · Power By

🛸 Online

fastgpt.run

Demo Demo
Demo Demo

💡 Features

  1. Powerful visual orchestration for easy AI application building

    • Provides a simple mode without the need for orchestration operations
    • User dialogue pre-guidance
    • Global variables
    • Knowledge base search
    • Multi-LLM model dialogue
    • Extraction of text content into structured data
    • HTTP extension
    • Sandbox JS runtime module
    • Continuous dialogue guidance
    • Dialogue multi-path selection
    • Source file reference tracking
  2. Rich knowledge base preprocessing

    • Multiple library reuse and mixing
    • Chunk record modification and deletion
    • Supports direct segment import
    • Supports QA split import
    • Supports manual input content
    • Supports URL import reading
    • Supports batch import of Q&A pairs in CSV format
    • Supports separate vector model settings for knowledge bases
    • Source file storage
  3. Multiple effect testing channels

    • Knowledge base single point search testing
    • Feedback references and ability to modify and delete during dialogue
    • Complete context presentation
    • Complete module intermediate value presentation
  4. OpenAPI

    • completions interface (aligned with GPT interface)
    • Knowledge base CRUD
  5. Operational functions

    • Login-free sharing window
    • One-click embedding with Iframe
    • Unified access to dialogue records

👨‍💻 Development

Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)

👀 Others

🤝 Third-party Ecosystem

🌟 Star History

Star History Chart