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911512b36d7353ebe6cc16428976210dcd8477d3

* 4.7-alpha3 (#62) * doc * Optimize possible null Pointers and parts of Ux * fix: mulity index training error * feat: doc and rename question guide * fix ios speech input (#59) * fix: prompt editor variables nowrap (#61) * change openapi import in http module with curl import (#60) * chore(ui): dataset import modal ui (#58) * chore(ui): dataset import modal ui * use component * fix height * 4.7 (#63) * fix: claude3 image type verification failed (#1038) (#1040) * perf: curl import modal * doc img * perf: adapt cohere rerank * perf: code * perf: input style * doc --------- Co-authored-by: xiaotian <dimsky@163.com> * fix: ts * docker deploy * perf: prompt call * doc * ts * finish ui * perf: outlink detail ux * perf: user schema * fix: plugin update * feat: get current time plugin * fix: ts * perf: fetch anamation * perf: mark ux * doc * perf: select app ux * fix: split text custom string conflict * peref: inform readed * doc * memo flow component * perf: version * faq * feat: flow max runtimes * feat: similarity tip * feat: auto detect file encoding * Supports asymmetric vector model * fix: ts * perf: max w * move code * perf: hide whisper * fix: ts * feat: system msg modal * perf: catch error * perf: inform tip * fix: inform --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> Co-authored-by: xiaotian <dimsky@163.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
Community Group |
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👀 Others
- FastGPT FAQ
- Docker Deployment Tutorial Video
- Official Account Integration Video Tutorial
- FastGPT Knowledge Base Demo
💪 Related Projects
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- TuShan: Build a backend management system in 5 minutes
🤝 Third-party Ecosystem
🌟 Star History
Description
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!
Languages
JavaScript
57.9%
TypeScript
36.9%
HTML
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Python
0.8%
SCSS
0.2%