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UI updates + RAGFlow image description (#3995)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
This commit is contained in:
@ -37,7 +37,7 @@ RAGFlow's no-code editor spares you the trouble of coding, making agent developm
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Here’s a breakdown of each component and its role and requirements in the chatbot template:
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- **Begin**
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- Function: Sets the opening greeting for the user.
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- Function: Sets an opening greeting for users.
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- Purpose: Establishes a welcoming atmosphere and prepares the user for interaction.
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- **Interact**
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@ -6,6 +6,7 @@ slug: /
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# Quick start
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import APITable from '@site/src/components/APITable';
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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. When integrated with LLMs, it is capable of providing truthful question-answering capabilities, backed by well-founded citations from various complex formatted data.
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@ -19,7 +20,7 @@ This quick start guide describes a general process from:
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:::danger IMPORTANT
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We officially support x86 CPU and Nvidia GPU, and this document offers instructions on deploying RAGFlow using Docker on x86 platforms. While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM.
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If you are on an ARM platform, following [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
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If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
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:::
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## Prerequisites
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@ -189,15 +190,22 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
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$ docker compose -f docker/docker-compose.yml up -d
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```
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| RAGFLOW_IMAGE tag in docker/.env | size | Including embedding models and related Python packages? | comments |
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| -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
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| v0.14.1 | ~9 GB | YES | stable release |
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| v0.14.1-slim | ~2 GB | NO | stable release |
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| v0.15.0-dev1 | ~9 GB | YES | unstable beta release |
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| v0.15.0-dev1-slim | ~2 GB | NO | unstable beta release |
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| nightly | ~9 GB | YES | unstable nightly build |
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| nightly-slim | ~2 GB | NO | unstable nightly build |
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```mdx-code-block
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<APITable>
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```
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.14.1 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.14.1-slim | ≈2 | ❌ | Stable release |
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| v0.15.0-dev1 | ≈9 | :heavy_check_mark: | *Unstable* beta release |
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| v0.15.0-dev1-slim | ≈2 | ❌ | *Unstable* beta release |
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| nightly | ≈9 | :heavy_check_mark: | *Unstable* nightly build |
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| nightly-slim | ≈2 | ❌ | *Unstable* nightly build |
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```mdx-code-block
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</APITable>
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```
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:::tip NOTE
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A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size and may take significantly longer time to load.
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@ -887,7 +887,7 @@ Failure:
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---
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## Add chunks
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## Add chunk
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**POST** `/api/v1/datasets/{dataset_id}/documents/{document_id}/chunks`
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@ -913,7 +913,7 @@ curl --request POST \
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--header 'Authorization: Bearer <YOUR_API_KEY>' \
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--data '
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{
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"content": "<SOME_CHUNK_CONTENT_HERE>"
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"content": "<CHUNK_CONTENT_HERE>"
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}'
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```
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@ -208,7 +208,7 @@ Released on May 31, 2024.
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:::danger IMPORTANT
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While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM.
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If you are on an ARM platform, following [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
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If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
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:::
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### Related APIs
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