FastGPT
Open-source platform for building agent...
Editor Review
To turn a product manual into a question-answering bot, import the files into a knowledge base and let the system structure them. Complex layouts try to keep tables and formulas, scans are read into text, and the chunks should be sampled after import. In the visual workflow, connect knowledge search to a chat node, and add later nodes if the flow must check inventory or a booking. Citations can be inspected while testing. When answers are acceptable, use the standard API to reach WeCom, a WeChat official account, Feishu, or DingTalk. It fits developers building their own knowledge bot and business teammates willing to configure nodes.
What is FastGPT
FastGPT is an open-source platform for building agent applications, with an international site and a mainland China site in the docs. It combines knowledge-base answers, a visual workflow, tool calls, and skill extensions. A knowledge base can import documents and structure them, including layouts with tables and formulas, and it can read scans. Workflows are arranged by dragging nodes, for example search then answer, or an inventory lookup and a lab booking. The API follows a common chat protocol and can connect to WeCom, WeChat official accounts, Feishu, and DingTalk.
Basic Info
Best For
Difficulty: Intermediate
FastGPT Key Features
Answers from a document library
Imported documents are structured for multi-turn questions, and answers can bring citations so the source can be checked.
Parse complex document layouts
Processing tries to keep images, tables, and formulas, reads scanned pages, and turns the content into text that can be searched.
Drag workflow nodes
Flow nodes connect knowledge search, chat, and later actions, such as an inventory lookup or submitting a booking.
Connect office chat tools
The API follows a common chat protocol, and the docs say it can connect to WeCom, WeChat official accounts, Feishu, and DingTalk.
FastGPT Key Advantages
- After import, answers can include citations so the source text can be checked
- Tables, formulas, and scans are parsed into searchable text as far as the pipeline can
- A workflow can chain knowledge search, chat, and an inventory lookup
- The standard API can connect to WeCom, a WeChat official account, Feishu, or DingTalk
FastGPT Use Cases
Turn a manual into an internal bot
An implementation teammate imports a manual and lets colleagues ask follow-up steps in Feishu, opening citations to check the source.
Check stock before a support reply
A developer searches the knowledge base in the workflow, adds an inventory node, and then hands the result to the reply.
Frequently Asked Questions
▶Can tables and scanned pages go into the knowledge base?
The docs say the knowledge base handles complex layouts, tries to keep images, tables, and formulas, reads scans, and turns them into searchable text. Images can also be captioned and indexed so visual content can be asked about. After import, sample the chunks, especially scans and formulas. Citations can be shown so a user can return to the source. Finished parsing does not mean every page is correct, so check a few passages before launch.
▶How do colleagues use it inside Feishu?
First connect knowledge search and the chat node in the visual workflow, and confirm that citations and answers match what you expect. The docs say the API follows a common chat protocol and can reach WeCom, WeChat official accounts, Feishu, and DingTalk, so Feishu is one of those exits. After it is connected, colleagues ask in the chat and do not open a separate console. How nodes connect, and which variables they read, still has to be configured in the workflow.
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