Update README.md (#181)
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README.md
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README.md
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### 🍭 **"Quality in, quality out"**
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- Deep document understanding-based knowledge extraction from unstructured data with complicated formats.
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- Finds "needle in a data haystack" of literally unlimited tokens.
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### 🍱 **Template-based chunking**
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- Intelligent and explainable.
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- Plenty of template options to choose from.
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### 🌱 **Grounded citations with reduced hallucinations**
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- Visualization of text chunking to allow human intervention.
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- Quick view of the key references and traceable citations to support grounded answers.
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### 🍔 **Compatibility with heterogeneous data sources**
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- Supports Word, slides, excel, txt, images, scanned copies, structured data, web pages, and more.
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### 🛀 **Automated and effortless RAG workflow**
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- Streamlined RAG orchestration catered to both personal and large businesses.
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- Configurable LLMs as well as embedding models.
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@ -59,7 +63,7 @@
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- Docker
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> If you have not installed Docker on your local machine (Windows, Mac, or Linux), see [Install Docker Engine](https://docs.docker.com/engine/install/).
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### Start up the server
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### 🚀 Start up the server
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1. Ensure `vm.max_map_count` > 65535:
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@ -88,7 +92,6 @@
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$ git clone https://github.com/infiniflow/ragflow.git
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```
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3. Build the pre-built Docker images and start up the server:
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```bash
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INFO:werkzeug:Press CTRL+C to quit
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```
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5. In your web browser, enter the IP address and port of your server as prompted and log in to RAGFlow.
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5. In your web browser, enter the IP address of your server as prompted and log in to RAGFlow.
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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.
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> See [./docs/llm_api_key_setup.md](./docs/llm_api_key_setup.md) for more information.
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*The show is now on!*
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@ -131,12 +136,11 @@ When it comes to system configurations, you will need to manage the following fi
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- [service_conf.yaml](./docker/service_conf.yaml): Configures the back-end services.
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- [docker-compose.yml](./docker/docker-compose.yml): The system relies on [docker-compose.yml](./docker/docker-compose.yml) to start up.
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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.
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> The [./docker/README](./docker/README.md) file provides a detailed description of the environment settings and service configurations, and it is IMPORTANT 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.
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> 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.
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To change the default serving port (80), go to [docker-compose.yml](./docker/docker-compose.yml) and change `80:80` to `<YOUR_SERVING_PORT>:80`.
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To update the default serving port (80), go to [docker-compose.yml](./docker/docker-compose.yml) and change `80:80` to `<YOUR_SERVING_PORT>:80`.
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> Updates to all system configurations require a system reboot to take effect:
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>
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