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Version: DEV

Upgrading

Upgrade RAGFlow to nightly-slim/nightly or the latest, published release.

NOTE

Upgrading RAGFlow in itself will not remove your uploaded/historical data. However, be aware that docker compose -f docker/docker-compose.yml down -v will remove Docker container volumes, resulting in data loss.

Upgrade RAGFlow to nightly-slim/nightly, the most recent, tested Docker image​

nightly-slim refers to the RAGFlow Docker image without embedding models, while nightly refers to the RAGFlow Docker image with embedding models. For details on their differences, see ragflow/docker/.env.

To upgrade RAGFlow, you must upgrade both your code and your Docker image:

  1. Clone the repo

    git clone https://github.com/infiniflow/ragflow.git

  2. Update ragflow/docker/.env:

RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim

  1. Update RAGFlow image and restart RAGFlow:

    docker compose -f docker/docker-compose.yml pull
    docker compose -f docker/docker-compose.yml up -d

Upgrade RAGFlow to the most recent, officially published release​

To upgrade RAGFlow, you must upgrade both your code and your Docker image:

  1. Clone the repo

    git clone https://github.com/infiniflow/ragflow.git

  2. Switch to the latest, officially published release, e.g., v0.19.1:

    git checkout -f v0.19.1

  3. Update ragflow/docker/.env:

RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.1-slim

  1. Update the RAGFlow image and restart RAGFlow:

    docker compose -f docker/docker-compose.yml pull
    docker compose -f docker/docker-compose.yml up -d

Frequently asked questions​

Do I need to back up my knowledge bases before upgrading RAGFlow?​

No, you do not need to. Upgrading RAGFlow in itself will not remove your uploaded data or knowledge base settings. However, be aware that docker compose -f docker/docker-compose.yml down -v will remove Docker container volumes, resulting in data loss.

Upgrade RAGFlow in an offline environment (without Internet access)​

  1. From an environment with Internet access, pull the required Docker image.
  2. Save the Docker image to a .tar file. 
    docker save -o ragflow.v0.19.1.tar infiniflow/ragflow:v0.19.1
  3. Copy the .tar file to the target server.
  4. Load the .tar file into Docker: 
    docker load -i ragflow.v0.19.1.tar