mirror of
https://github.com/infiniflow/ragflow.git
synced 2025-12-08 20:42:30 +08:00
Publish RAGFlow's HTTP and Python API references (#3116)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
This commit is contained in:
18
docs/guides/develop/acquire_ragflow_api_key.md
Normal file
18
docs/guides/develop/acquire_ragflow_api_key.md
Normal file
@ -0,0 +1,18 @@
|
||||
---
|
||||
sidebar_position: 3
|
||||
slug: /acquire_ragflow_api_key
|
||||
---
|
||||
|
||||
# Acquire a RAGFlow API key
|
||||
|
||||
A key is required for the RAGFlow server to authenticate your requests via HTTP or a Python API. This documents provides instructions on obtaining a RAGFlow API key.
|
||||
|
||||
1. Click your avatar on the top right corner of the RAGFlow UI to access the configuration page.
|
||||
2. Click **API** to switch to the **API** page.
|
||||
3. Obtain a RAGFlow API key:
|
||||
|
||||

|
||||
|
||||
:::tip NOTE
|
||||
See the [RAGFlow HTTP API reference](../../references/http_api_reference.md) or the [RAGFlow Python API reference](../../references/python_api_reference.md) for a complete reference of RAGFlow's HTTP or Python APIs.
|
||||
:::
|
||||
@ -29,7 +29,7 @@ For now, RAGFlow supports the following online LLMs. Click the corresponding lin
|
||||
- [StepFun](https://platform.stepfun.com/)
|
||||
|
||||
:::note
|
||||
If you find your online LLM is not on the list, don't feel disheartened. The list is expanding, and you can [file a feature request](https://github.com/infiniflow/ragflow/issues/new?assignees=&labels=feature+request&projects=&template=feature_request.yml&title=%5BFeature+Request%5D%3A+) with us! Alternatively, if you have customized or locally-deployed models, you can [bind them to RAGFlow using Ollama, Xinferenc, or LocalAI](./deploy_local_llm.mdx).
|
||||
If you find your online LLM is not on the list, don't feel disheartened. The list is expanding, and you can [file a feature request](https://github.com/infiniflow/ragflow/issues/new?assignees=&labels=feature+request&projects=&template=feature_request.yml&title=%5BFeature+Request%5D%3A+) with us! Alternatively, if you have customized or locally-deployed models, you can [bind them to RAGFlow using Ollama, Xinference, or LocalAI](./deploy_local_llm.mdx).
|
||||
:::
|
||||
|
||||
## Configure model API key
|
||||
|
||||
Reference in New Issue
Block a user