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description: Propose a agent scenario request for RAGFlow.
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title: "[Agent Scenario Request]: "
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labels: ["❤️🔥ᴬᴳᴱᴺᵀ agent scenario"]
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body:
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- type: checkboxes
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attributes:
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label: Self Checks
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description: "Please check the following in order to be responded in time :)"
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options:
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- label: I have searched for existing issues [search for existing issues](https://github.com/infiniflow/ragflow/issues), including closed ones.
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required: true
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- label: I confirm that I am using English to submit this report ([Language Policy](https://github.com/infiniflow/ragflow/issues/5910)).
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required: true
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- label: Non-english title submitions will be closed directly ( 非英文标题的提交将会被直接关闭 ) ([Language Policy](https://github.com/infiniflow/ragflow/issues/5910)).
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required: true
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- label: "Please do not modify this template :) and fill in all the required fields."
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required: true
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- type: textarea
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attributes:
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label: Is your feature request related to a scenario?
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description: |
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A clear and concise description of what the scenario is. Ex. I'm always frustrated when [...]
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render: Markdown
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validations:
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required: false
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- type: textarea
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attributes:
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label: Describe the feature you'd like
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description: A clear and concise description of what you want to happen.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Documentation, adoption, use case
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description: If you can, explain some scenarios how users might use this, situations it would be helpful in. Any API designs, mockups, or diagrams are also helpful.
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render: Markdown
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validations:
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required: false
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- type: textarea
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attributes:
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label: Additional information
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description: |
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Add any other context or screenshots about the feature request here.
# Calculate the hash of the current workspace content
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HEAD_SHA=$(git rev-parse HEAD^{tree})
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if [[ ${HEAD_SHA} == ${PR_SHA} ]]; then
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echo "Cancel myself since the workspace content hash is the same with PR #${PR_NUMBER} merged. See ${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/actions/runs/${PR_RUN_ID} for details."
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gh run cancel ${GITHUB_RUN_ID}
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while true; do
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status=$(gh run view ${GITHUB_RUN_ID} --json status -q .status)
[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document
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understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models)
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to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted
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data.
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[RAGFlow](https://ragflow.io/) is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine and pre-built agent templates, RAGFlow enables developers to transform complex data into high-fidelity, production-ready AI systems with exceptional efficiency and precision.
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## 🎮 Demo
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Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
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> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
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> The command below downloads the `v0.19.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.19.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.1` for the full edition `v0.19.1`.
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> The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` for the full edition `v0.21.1`.
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```bash
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$ cd ragflow/docker
@@ -200,8 +200,8 @@ releases! 🌟
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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