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*Total -- 2,413.51kb -> 1,556.03kb (35.53%) /docSite/assets/imgs/flow-tool2.png -- 171.30kb -> 34.32kb (79.96%) /docSite/assets/imgs/judgement1.png -- 70.87kb -> 43.74kb (38.29%) /docSite/assets/imgs/aichat2.png -- 64.94kb -> 40.39kb (37.8%) /docSite/assets/imgs/demo-appointment5.png -- 70.95kb -> 45.23kb (36.25%) /docSite/assets/imgs/cq1.png -- 104.80kb -> 67.09kb (35.98%) /docSite/assets/imgs/string.png -- 67.67kb -> 43.75kb (35.35%) /docSite/assets/imgs/chatinput.png -- 53.12kb -> 34.58kb (34.89%) /docSite/assets/imgs/flow-intro2.png -- 263.99kb -> 173.15kb (34.41%) /docSite/assets/imgs/flow-tool3.png -- 216.30kb -> 143.88kb (33.48%) /docSite/assets/imgs/specialreply.png -- 152.58kb -> 101.64kb (33.39%) /docSite/assets/imgs/aichat02.png -- 110.38kb -> 73.73kb (33.21%) /docSite/assets/imgs/aichat.png -- 108.55kb -> 72.68kb (33.04%) /docSite/assets/imgs/flow-intro1.png -- 306.26kb -> 205.67kb (32.85%) /docSite/assets/imgs/flow-intro3.png -- 105.33kb -> 71.29kb (32.32%) /docSite/assets/imgs/flow-dataset1.png -- 91.96kb -> 62.57kb (31.96%) /docSite/assets/imgs/flow-tool1.png -- 94.70kb -> 64.60kb (31.78%) /docSite/assets/imgs/extract1.png -- 74.00kb -> 50.68kb (31.51%) /docSite/assets/imgs/flow-tool4.png -- 196.36kb -> 138.21kb (29.62%) /docSite/assets/imgs/laf4.png -- 89.45kb -> 88.83kb (0.69%) Signed-off-by: ImgBotApp <ImgBotHelp@gmail.com> Co-authored-by: ImgBotApp <ImgBotHelp@gmail.com>
FastGPT
FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
🛸 Use Cloud Services
Cloud: fastgpt.in
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💡 Features
1 Application Orchestration Features
- Offers a straightforward mode, eliminating the need for complex orchestration
- Provides clear next-step instructions in dialogues
- Facilitates workflow orchestration
- Tracks references in source files
- Encapsulates modules for enhanced reuse at multiple levels
- Combines search and reordering functions
- Includes a tool module
- Integrates Laf for online HTTP module creation
- Plugin encapsulation capabilities
2 Knowledge Base Features
- Allows for the mixed use of multiple databases
- Keeps track of modifications and deletions in data chunks
- Enables specific vector models for each knowledge base
- Stores original source files
- Supports direct input and segment-based QA import
- Compatible with a variety of file formats: pdf, docx, txt, html, md, csv
- Facilitates URL reading and bulk CSV importing
- Supports PPT and Excel file import
- Features a file reader
- Offers diverse data preprocessing options
3 Application Debugging Features
- Enables targeted search testing within the knowledge base
- Allows feedback, editing, and deletion during conversations
- Presents the full context of interactions
- Displays all intermediate values within modules
- Advanced DeBug mode for orchestration
4 OpenAPI Interface
- The completions interface (aligned with GPT's chat mode interface)
- CRUD operations for the knowledge base
- CRUD operations for conversations
5 Operational Features
- Share without requiring login
- Easy embedding with Iframe
- Customizable chat window embedding with features like default open, drag-and-drop
- Centralizes conversation records for review and annotation
👨💻 Development
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
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⚡ Deployment
Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.
🏘️ Community
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👀 Others
- FastGPT FAQ
- Docker Deployment Tutorial Video
- Official Account Integration Video Tutorial
- FastGPT Knowledge Base Demo
💪 Related Projects
- Laf: 3-minute quick access to third-party applications
- Sealos: Rapid deployment of cluster applications
- One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.
- TuShan: Build a backend management system in 5 minutes
🤝 Third-party Ecosystem