From 3fb2bc7613562325133c616084aebccb9ff426cc Mon Sep 17 00:00:00 2001
From: Jin Hai
Date: Tue, 29 Oct 2024 21:05:38 +0800
Subject: [PATCH] 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
---
README.md | 110 +++++++++++++++++++++++++++++++++------------------
README_ja.md | 21 ++++++----
README_ko.md | 18 ++++++---
README_zh.md | 18 ++++++---
4 files changed, 108 insertions(+), 59 deletions(-)
diff --git a/README.md b/README.md
index 027420a4d91..33ce52ccdb2 100644
--- a/README.md
+++ b/README.md
@@ -12,16 +12,21 @@
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@@ -34,7 +39,7 @@
📕 Table of Contents
-
+
- 💡 [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).
-
## 🔥 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! 🌟
@@ -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 `:80`.
+To update the default HTTP serving port (80), go to [docker-compose.yml](./docker/docker-compose.yml) and change `80:80`
+to `: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.
diff --git a/README_ja.md b/README_ja.md
index e22955d38d7..8e38ea8d7b1 100644
--- a/README_ja.md
+++ b/README_ja.md
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diff --git a/README_ko.md b/README_ko.md
index 1c89a5c6933..5e639e55785 100644
--- a/README_ko.md
+++ b/README_ko.md
@@ -12,18 +12,24 @@
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diff --git a/README_zh.md b/README_zh.md
index fb1b71d166d..1a94a0e3b89 100644
--- a/README_zh.md
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