Update README (#3092)

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] Documentation Update

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
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README.md
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@ -12,16 +12,21 @@
</p>
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</p>
<h4 align="center">
@ -34,7 +39,7 @@
<details open>
<summary></b>📕 Table of Contents</b></summary>
- 💡 [What is RAGFlow?](#-what-is-ragflow)
- 🎮 [Demo](#-demo)
- 📌 [Latest Updates](#-latest-updates)
@ -54,7 +59,10 @@
## 💡 What is RAGFlow?
[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data.
[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document
understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models)
to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted
data.
## 🎮 Demo
@ -64,7 +72,6 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
<img src="https://github.com/infiniflow/ragflow/assets/12318111/b083d173-dadc-4ea9-bdeb-180d7df514eb" width="1200"/>
</div>
## 🔥 Latest Updates
- 2024-09-29 Optimizes multi-round conversations.
@ -74,7 +81,9 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
- 2024-08-02 Supports GraphRAG inspired by [graphrag](https://github.com/microsoft/graphrag) and mind map.
## 🎉 Stay Tuned
⭐️ Star our repository to stay up-to-date with exciting new features and improvements! Get instant notifications for new releases! 🌟
⭐️ Star our repository to stay up-to-date with exciting new features and improvements! Get instant notifications for new
releases! 🌟
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/18c9707e-b8aa-4caf-a154-037089c105ba" width="1200"/>
</div>
@ -83,7 +92,8 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
### 🍭 **"Quality in, quality out"**
- [Deep document understanding](./deepdoc/README.md)-based knowledge extraction from unstructured data with complicated formats.
- [Deep document understanding](./deepdoc/README.md)-based knowledge extraction from unstructured data with complicated
formats.
- Finds "needle in a data haystack" of literally unlimited tokens.
### 🍱 **Template-based chunking**
@ -121,7 +131,8 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
- RAM >= 16 GB
- Disk >= 50 GB
- Docker >= 24.0.0 & Docker Compose >= v2.26.1
> If you have not installed Docker on your local machine (Windows, Mac, or Linux), see [Install Docker Engine](https://docs.docker.com/engine/install/).
> If you have not installed Docker on your local machine (Windows, Mac, or Linux),
see [Install Docker Engine](https://docs.docker.com/engine/install/).
### 🚀 Start up the server
@ -140,7 +151,8 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
> $ sudo sysctl -w vm.max_map_count=262144
> ```
>
> This change will be reset after a system reboot. To ensure your change remains permanent, add or update the `vm.max_map_count` value in **/etc/sysctl.conf** accordingly:
> This change will be reset after a system reboot. To ensure your change remains permanent, add or update the
`vm.max_map_count` value in **/etc/sysctl.conf** accordingly:
>
> ```bash
> vm.max_map_count=262144
@ -154,18 +166,27 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
3. Build the pre-built Docker images and start up the server:
> The command below downloads the dev version Docker image for RAGFlow slim (`dev-slim`). Note that RAGFlow slim Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size.
> The command below downloads the dev version Docker image for RAGFlow slim (`dev-slim`). Note that RAGFlow slim
Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size.
```bash
$ cd ragflow/docker
$ docker compose -f docker-compose.yml up -d
```
> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`. After making this change, rerun the command above to initiate the download.
> - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change, rerun the command above to initiate the download.
> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`. After making this change, rerun the command above to initiate the download.
> **NOTE:** A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size and may take significantly longer time to load.
> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlow_IMAGE` variable in *
*docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`. After
making this change, rerun the command above to initiate the download.
> - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the
`RAGFlow_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change,
rerun the command above to initiate the download.
> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update
the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example,
`RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`. After making this change, rerun the command above to initiate the
download.
> **NOTE:** A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size
and may take significantly longer time to load.
4. Check the server status after having the server up and running:
@ -188,11 +209,14 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
* Running on http://x.x.x.x:9380
INFO:werkzeug:Press CTRL+C to quit
```
> If you skip this confirmation step and directly log in to RAGFlow, your browser may prompt a `network abnormal` error because, at that moment, your RAGFlow may not be fully initialized.
> If you skip this confirmation step and directly log in to RAGFlow, your browser may prompt a `network abnormal`
error because, at that moment, your RAGFlow may not be fully initialized.
5. In your web browser, enter the IP address of your server and log in to RAGFlow.
> With the default settings, you only need to enter `http://IP_OF_YOUR_MACHINE` (**sans** port number) as the default HTTP serving port `80` can be omitted when using the default configurations.
6. In [service_conf.yaml](./docker/service_conf.yaml), select the desired LLM factory in `user_default_llm` and update the `API_KEY` field with the corresponding API key.
> With the default settings, you only need to enter `http://IP_OF_YOUR_MACHINE` (**sans** port number) as the default
HTTP serving port `80` can be omitted when using the default configurations.
6. In [service_conf.yaml](./docker/service_conf.yaml), select the desired LLM factory in `user_default_llm` and update
the `API_KEY` field with the corresponding API key.
> See [llm_api_key_setup](https://ragflow.io/docs/dev/llm_api_key_setup) for more information.
@ -202,15 +226,22 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
When it comes to system configurations, you will need to manage the following files:
- [.env](./docker/.env): Keeps the fundamental setups for the system, such as `SVR_HTTP_PORT`, `MYSQL_PASSWORD`, and `MINIO_PASSWORD`.
- [.env](./docker/.env): Keeps the fundamental setups for the system, such as `SVR_HTTP_PORT`, `MYSQL_PASSWORD`, and
`MINIO_PASSWORD`.
- [service_conf.yaml](./docker/service_conf.yaml): Configures the back-end services.
- [docker-compose.yml](./docker/docker-compose.yml): The system relies on [docker-compose.yml](./docker/docker-compose.yml) to start up.
- [docker-compose.yml](./docker/docker-compose.yml): The system relies
on [docker-compose.yml](./docker/docker-compose.yml) to start up.
You must ensure that changes to the [.env](./docker/.env) file are in line with what are in the [service_conf.yaml](./docker/service_conf.yaml) file.
You must ensure that changes to the [.env](./docker/.env) file are in line with what are in
the [service_conf.yaml](./docker/service_conf.yaml) file.
> The [./docker/README](./docker/README.md) file provides a detailed description of the environment settings and service configurations, and you are REQUIRED to ensure that all environment settings listed in the [./docker/README](./docker/README.md) file are aligned with the corresponding configurations in the [service_conf.yaml](./docker/service_conf.yaml) file.
> The [./docker/README](./docker/README.md) file provides a detailed description of the environment settings and service
> configurations, and you are REQUIRED to ensure that all environment settings listed in
> the [./docker/README](./docker/README.md) file are aligned with the corresponding configurations in
> the [service_conf.yaml](./docker/service_conf.yaml) file.
To update the default HTTP serving port (80), go to [docker-compose.yml](./docker/docker-compose.yml) and change `80:80` to `<YOUR_SERVING_PORT>:80`.
To update the default HTTP serving port (80), go to [docker-compose.yml](./docker/docker-compose.yml) and change `80:80`
to `<YOUR_SERVING_PORT>:80`.
Updates to the above configurations require a reboot of all containers to take effect:
@ -232,7 +263,7 @@ docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
## 🔧 Build a Docker image including embedding models
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
```bash
git clone https://github.com/infiniflow/ragflow.git
@ -244,12 +275,12 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
## 🔨 Launch service from source for development
1. Install Poetry, or skip this step if it is already installed:
1. Install Poetry, or skip this step if it is already installed:
```bash
curl -sSL https://install.python-poetry.org | python3 -
```
2. Clone the source code and install Python dependencies:
2. Clone the source code and install Python dependencies:
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -257,42 +288,42 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
```
3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
```bash
docker compose -f docker/docker-compose-base.yml up -d
```
Add the following line to `/etc/hosts` to resolve all hosts specified in **docker/service_conf.yaml** to `127.0.0.1`:
Add the following line to `/etc/hosts` to resolve all hosts specified in **docker/service_conf.yaml** to `127.0.0.1`:
```
127.0.0.1 es01 mysql minio redis
```
In **docker/service_conf.yaml**, update mysql port to `5455` and es port to `1200`, as specified in **docker/.env**.
4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
```bash
export HF_ENDPOINT=https://hf-mirror.com
```
5. Launch backend service:
5. Launch backend service:
```bash
source .venv/bin/activate
export PYTHONPATH=$(pwd)
bash docker/launch_backend_service.sh
```
6. Install frontend dependencies:
6. Install frontend dependencies:
```bash
cd web
npm install --force
```
7. Configure frontend to update `proxy.target` in **.umirc.ts** to `http://127.0.0.1:9380`:
8. Launch frontend service:
8. Launch frontend service:
```bash
npm run dev
```
_The following output confirms a successful launch of the system:_
_The following output confirms a successful launch of the system:_
![](https://github.com/user-attachments/assets/0daf462c-a24d-4496-a66f-92533534e187)
@ -315,4 +346,5 @@ See the [RAGFlow Roadmap 2024](https://github.com/infiniflow/ragflow/issues/162)
## 🙌 Contributing
RAGFlow flourishes via open-source collaboration. In this spirit, we embrace diverse contributions from the community. If you would like to be a part, review our [Contribution Guidelines](./CONTRIBUTING.md) first.
RAGFlow flourishes via open-source collaboration. In this spirit, we embrace diverse contributions from the community.
If you would like to be a part, review our [Contribution Guidelines](./CONTRIBUTING.md) first.

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@ -12,19 +12,24 @@
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<h4 align="center">
<a href="https://ragflow.io/docs/dev/">Document</a> |
<a href="https://github.com/infiniflow/ragflow/issues/162">Roadmap</a> |

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<a href="https://ragflow.io/docs/dev/">Document</a> |
<a href="https://github.com/infiniflow/ragflow/issues/162">Roadmap</a> |

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</a>
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<a href="https://ragflow.io/docs/dev/">Document</a> |
<a href="https://github.com/infiniflow/ragflow/issues/162">Roadmap</a> |