Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update rag_api.mdx #10

Merged
merged 1 commit into from
May 12, 2024
+1 −1
Merged

update rag_api.mdx #10

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion pages/docs/configuration/rag_api.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ To set up the RAG API with LibreChat, follow these steps:

### Docker Setup

For Docker, the setup is configured for you in both the default `docker-compose.yml` and `deploy-compose.yml` files, and you will just need to make sure you are using the latest docker image and compose files. Make sure to read the [Updating LibreChat guide for Docker](../install/installation/docker_compose_install.md#updating-librechat) if you are unsure how to update your Docker instance.
For Docker, the setup is configured for you in both the default `docker-compose.yml` and `deploy-compose.yml` files, and you will just need to make sure you are using the latest docker image and compose files. Make sure to read the [Updating LibreChat guide for Docker](/docs/local/docker#update-librechat) if you are unsure how to update your Docker instance.

Docker uses the "lite" image of the RAG API by default, which only supports remote embeddings, leveraging embeddings proccesses from OpenAI or a remote service you have configured for HuggingFace/Ollama.

Expand Down
Loading