From 096a37aacc9cc7e14c7dd2588b0a897d49adfc96 Mon Sep 17 00:00:00 2001 From: Mingyuan Qi Date: Fri, 15 Nov 2024 14:01:27 +0800 Subject: [PATCH] EdgeCraftRAG: Fix multiple issues (#1143) Signed-off-by: Mingyuan Qi Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- EdgeCraftRAG/Dockerfile | 6 +- EdgeCraftRAG/Dockerfile.server | 3 + EdgeCraftRAG/README.md | 171 +++++++++------ EdgeCraftRAG/assets/img/chat_with_rag.png | Bin 0 -> 94641 bytes EdgeCraftRAG/assets/img/create_pipeline.png | Bin 0 -> 171708 bytes EdgeCraftRAG/assets/img/upload_data.png | Bin 0 -> 87811 bytes EdgeCraftRAG/chatqna.py | 18 +- .../docker_compose/intel/gpu/arc/compose.yaml | 36 +++- EdgeCraftRAG/edgecraftrag/api/v1/chatqna.py | 7 +- EdgeCraftRAG/edgecraftrag/api/v1/pipeline.py | 13 +- EdgeCraftRAG/edgecraftrag/api_schema.py | 1 + EdgeCraftRAG/edgecraftrag/base.py | 1 + .../edgecraftrag/components/generator.py | 46 ++-- EdgeCraftRAG/edgecraftrag/components/model.py | 11 +- .../edgecraftrag/components/pipeline.py | 13 +- .../edgecraftrag/controllers/modelmgr.py | 19 +- .../prompt_template/default_prompt.txt | 2 +- EdgeCraftRAG/edgecraftrag/requirements.txt | 5 - EdgeCraftRAG/requirements.txt | 2 + .../tests/test_pipeline_local_llm.json | 3 - EdgeCraftRAG/ui/docker/Dockerfile.ui | 5 +- EdgeCraftRAG/ui/gradio/default.yaml | 11 +- EdgeCraftRAG/ui/gradio/ecrag_client.py | 27 ++- EdgeCraftRAG/ui/gradio/ecragui.py | 202 ++++++------------ EdgeCraftRAG/ui/gradio/platform_config.py | 27 +++ EdgeCraftRAG/ui/gradio/requirements.txt | 8 + 26 files changed, 335 insertions(+), 302 deletions(-) create mode 100644 EdgeCraftRAG/assets/img/chat_with_rag.png create mode 100644 EdgeCraftRAG/assets/img/create_pipeline.png create mode 100644 EdgeCraftRAG/assets/img/upload_data.png create mode 100644 EdgeCraftRAG/requirements.txt create mode 100644 EdgeCraftRAG/ui/gradio/requirements.txt diff --git a/EdgeCraftRAG/Dockerfile b/EdgeCraftRAG/Dockerfile index 3c9711dea..2e6191a01 100644 --- a/EdgeCraftRAG/Dockerfile +++ b/EdgeCraftRAG/Dockerfile @@ -13,13 +13,11 @@ RUN useradd -m -s /bin/bash user && \ mkdir -p /home/user && \ chown -R user /home/user/ -COPY ./edgecraftrag /home/user/edgecraftrag +COPY ./requirements.txt /home/user/requirements.txt COPY ./chatqna.py /home/user/chatqna.py -WORKDIR /home/user/edgecraftrag -RUN pip install --no-cache-dir -r requirements.txt - WORKDIR /home/user +RUN pip install --no-cache-dir -r requirements.txt USER user diff --git a/EdgeCraftRAG/Dockerfile.server b/EdgeCraftRAG/Dockerfile.server index c04dc0a54..f076dcd16 100644 --- a/EdgeCraftRAG/Dockerfile.server +++ b/EdgeCraftRAG/Dockerfile.server @@ -25,6 +25,9 @@ RUN useradd -m -s /bin/bash user && \ COPY ./edgecraftrag /home/user/edgecraftrag +RUN mkdir -p /home/user/gradio_cache +ENV GRADIO_TEMP_DIR=/home/user/gradio_cache + WORKDIR /home/user/edgecraftrag RUN pip install --no-cache-dir -r requirements.txt diff --git a/EdgeCraftRAG/README.md b/EdgeCraftRAG/README.md index da8d2efb0..a24822532 100644 --- a/EdgeCraftRAG/README.md +++ b/EdgeCraftRAG/README.md @@ -7,39 +7,112 @@ quality and performance. ## Quick Start Guide -### Run Containers with Docker Compose +### (Optional) Build Docker Images for Mega Service, Server and UI by your own + +If you want to build the images by your own, please follow the steps: + +```bash +cd GenAIExamples/EdgeCraftRAG + +docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy --build-arg no_proxy=$no_proxy -t opea/edgecraftrag:latest -f Dockerfile . +docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy --build-arg no_proxy=$no_proxy -t opea/edgecraftrag-server:latest -f Dockerfile.server . +docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_proxy --build-arg no_proxy=$no_proxy -t opea/edgecraftrag-ui:latest -f ui/docker/Dockerfile.ui . +``` + +### Using Intel Arc GPU + +#### Local inference with OpenVINO for Intel Arc GPU + +You can select "local" type in generation field which is the default approach to enable Intel Arc GPU for LLM. You don't need to build images for "local" type. + +#### vLLM with OpenVINO for Intel Arc GPU + +You can also select "vLLM" as generation type, to enable this type, you'll need to build the vLLM image for Intel Arc GPU before service bootstrap. +Please follow this link [vLLM with OpenVINO](https://github.com/opea-project/GenAIComps/tree/main/comps/llms/text-generation/vllm/langchain#build-docker-image) to build the vLLM image. + +### Start Edge Craft RAG Services with Docker Compose + +If you want to enable vLLM with OpenVINO service, please finish the steps in [Launch vLLM with OpenVINO service](#optional-launch-vllm-with-openvino-service) first. ```bash cd GenAIExamples/EdgeCraftRAG/docker_compose/intel/gpu/arc export MODEL_PATH="your model path for all your models" export DOC_PATH="your doc path for uploading a dir of files" +export GRADIO_PATH="your gradio cache path for transferring files" + +# Make sure all 3 folders have 1000:1000 permission, otherwise +# chown 1000:1000 ${MODEL_PATH} ${DOC_PATH} ${GRADIO_PATH} + +# Use `ip a` to check your active ip export HOST_IP="your host ip" -export UI_SERVICE_PORT="port for UI service" -# Optional for vllm endpoint -export vLLM_ENDPOINT="http://${HOST_IP}:8008" +# Check group id of video and render +export VIDEOGROUPID=$(getent group video | cut -d: -f3) +export RENDERGROUPID=$(getent group render | cut -d: -f3) # If you have a proxy configured, uncomment below line -# export no_proxy=$no_proxy,${HOST_IP},edgecraftrag,edgecraftrag-server +# export no_proxy=${no_proxy},${HOST_IP},edgecraftrag,edgecraftrag-server +# export NO_PROXY=${NO_PROXY},${HOST_IP},edgecraftrag,edgecraftrag-server # If you have a HF mirror configured, it will be imported to the container # export HF_ENDPOINT="your HF mirror endpoint" # By default, the ports of the containers are set, uncomment if you want to change # export MEGA_SERVICE_PORT=16011 # export PIPELINE_SERVICE_PORT=16011 +# export UI_SERVICE_PORT="8082" + +# Prepare models for embedding, reranking and generation, you can also choose other OpenVINO optimized models +# Here is the example: +pip install --upgrade --upgrade-strategy eager "optimum[openvino]" + +optimum-cli export openvino -m BAAI/bge-small-en-v1.5 ${MODEL_PATH}/BAAI/bge-small-en-v1.5 --task sentence-similarity +optimum-cli export openvino -m BAAI/bge-reranker-large ${MODEL_PATH}/BAAI/bge-reranker-large --task sentence-similarity +optimum-cli export openvino -m Qwen/Qwen2-7B-Instruct ${MODEL_PATH}/Qwen/Qwen2-7B-Instruct/INT4_compressed_weights --weight-format int4 docker compose up -d + ``` -### (Optional) Build Docker Images for Mega Service, Server and UI by your own +#### (Optional) Launch vLLM with OpenVINO service + +1. Set up Environment Variables ```bash -cd GenAIExamples/EdgeCraftRAG +export LLM_MODEL=#your model id +export VLLM_SERVICE_PORT=8008 +export vLLM_ENDPOINT="http://${HOST_IP}:${VLLM_SERVICE_PORT}" +export HUGGINGFACEHUB_API_TOKEN=#your HF token +``` -docker build --build-arg http_proxy=$HTTP_PROXY --build-arg https_proxy=$HTTPS_PROXY --build-arg no_proxy=$NO_PROXY -t opea/edgecraftrag:latest -f Dockerfile . -docker build --build-arg http_proxy=$HTTP_PROXY --build-arg https_proxy=$HTTPS_PROXY --build-arg no_proxy=$NO_PROXY -t opea/edgecraftrag-server:latest -f Dockerfile.server . -docker build --build-arg http_proxy=$HTTP_PROXY --build-arg https_proxy=$HTTPS_PROXY --build-arg no_proxy=$NO_PROXY -t opea/edgecraftrag-ui:latest -f ui/docker/Dockerfile.ui . +2. Uncomment below code in 'GenAIExamples/EdgeCraftRAG/docker_compose/intel/gpu/arc/compose.yaml' + +```bash + # vllm-openvino-server: + # container_name: vllm-openvino-server + # image: opea/vllm-arc:latest + # ports: + # - ${VLLM_SERVICE_PORT:-8008}:80 + # environment: + # HTTPS_PROXY: ${https_proxy} + # HTTP_PROXY: ${https_proxy} + # VLLM_OPENVINO_DEVICE: GPU + # HF_ENDPOINT: ${HF_ENDPOINT} + # HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} + # volumes: + # - /dev/dri/by-path:/dev/dri/by-path + # - $HOME/.cache/huggingface:/root/.cache/huggingface + # devices: + # - /dev/dri + # entrypoint: /bin/bash -c "\ + # cd / && \ + # export VLLM_CPU_KVCACHE_SPACE=50 && \ + # export VLLM_OPENVINO_ENABLE_QUANTIZED_WEIGHTS=ON && \ + # python3 -m vllm.entrypoints.openai.api_server \ + # --model '${LLM_MODEL}' \ + # --max_model_len=1024 \ + # --host 0.0.0.0 \ + # --port 80" ``` ### ChatQnA with LLM Example (Command Line) @@ -109,7 +182,7 @@ curl -X POST http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: app # } # Prepare data from local directory -curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d '{"local_path":"#REPLACE WITH YOUR LOCAL DOC DIR#"}' | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d '{"local_path":"docs/#REPLACE WITH YOUR DIR WITHIN MOUNTED DOC PATH#"}' | jq '.' # Validate Mega Service curl -X POST http://${HOST_IP}:16011/v1/chatqna -H "Content-Type: application/json" -d '{"messages":"#REPLACE WITH YOUR QUESTION HERE#", "top_n":5, "max_tokens":512}' | jq '.' @@ -121,33 +194,14 @@ Open your browser, access http://${HOST_IP}:8082 > Your browser should be running on the same host of your console, otherwise you will need to access UI with your host domain name instead of ${HOST_IP}. -### (Optional) Launch vLLM with OpenVINO service +To create a default pipeline, you need to click the `Create Pipeline` button on the `RAG Settings` page. You can also create multiple pipelines or update existing pipelines through the `Pipeline Configuration`, but please note that active pipelines cannot be updated. +![create_pipeline](assets/img/create_pipeline.png) -```bash -# 1. export LLM_MODEL -export LLM_MODEL="your model id" -# 2. Uncomment below code in 'GenAIExamples/EdgeCraftRAG/docker_compose/intel/gpu/arc/compose.yaml' - # vllm-service: - # image: vllm:openvino - # container_name: vllm-openvino-server - # depends_on: - # - vllm-service - # ports: - # - "8008:80" - # environment: - # no_proxy: ${no_proxy} - # http_proxy: ${http_proxy} - # https_proxy: ${https_proxy} - # vLLM_ENDPOINT: ${vLLM_ENDPOINT} - # LLM_MODEL: ${LLM_MODEL} - # entrypoint: /bin/bash -c "\ - # cd / && \ - # export VLLM_CPU_KVCACHE_SPACE=50 && \ - # python3 -m vllm.entrypoints.openai.api_server \ - # --model '${LLM_MODEL}' \ - # --host 0.0.0.0 \ - # --port 80" -``` +After the pipeline creation, you can upload your data in the `Chatbot` page. +![upload_data](assets/img/upload_data.png) + +Then, you can submit messages in the chat box. +![chat_with_rag](assets/img/chat_with_rag.png) ## Advanced User Guide @@ -156,27 +210,13 @@ export LLM_MODEL="your model id" #### Create a pipeline ```bash -curl -X POST http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: application/json" -d @examples/test_pipeline.json | jq '.' -``` - -It will take some time to prepare the embedding model. - -#### Upload a text - -```bash -curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d @examples/test_data.json | jq '.' -``` - -#### Provide a query to retrieve context with similarity search. - -```bash -curl -X POST http://${HOST_IP}:16010/v1/retrieval -H "Content-Type: application/json" -d @examples/test_query.json | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: application/json" -d @tests/test_pipeline_local_llm.json | jq '.' ``` -#### Create the second pipeline test2 +#### Update a pipeline ```bash -curl -X POST http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: application/json" -d @examples/test_pipeline2.json | jq '.' +curl -X PATCH http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: application/json" -d @tests/test_pipeline_local_llm.json | jq '.' ``` #### Check all pipelines @@ -185,19 +225,10 @@ curl -X POST http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: app curl -X GET http://${HOST_IP}:16010/v1/settings/pipelines -H "Content-Type: application/json" | jq '.' ``` -#### Compare similarity retrieval (test1) and keyword retrieval (test2) +#### Activate a pipeline ```bash -# Activate pipeline test1 curl -X PATCH http://${HOST_IP}:16010/v1/settings/pipelines/test1 -H "Content-Type: application/json" -d '{"active": "true"}' | jq '.' -# Similarity retrieval -curl -X POST http://${HOST_IP}:16010/v1/retrieval -H "Content-Type: application/json" -d '{"messages":"number"}' | jq '.' - -# Activate pipeline test2 -curl -X PATCH http://${HOST_IP}:16010/v1/settings/pipelines/test2 -H "Content-Type: application/json" -d '{"active": "true"}' | jq '.' -# Keyword retrieval -curl -X POST http://${HOST_IP}:16010/v1/retrieval -H "Content-Type: application/json" -d '{"messages":"number"}' | jq '.' - ``` ### Model Management @@ -205,7 +236,7 @@ curl -X POST http://${HOST_IP}:16010/v1/retrieval -H "Content-Type: application/ #### Load a model ```bash -curl -X POST http://${HOST_IP}:16010/v1/settings/models -H "Content-Type: application/json" -d @examples/test_model_load.json | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/settings/models -H "Content-Type: application/json" -d '{"model_type": "reranker", "model_id": "BAAI/bge-reranker-large", "model_path": "./models/bge_ov_reranker", "device": "cpu"}' | jq '.' ``` It will take some time to load the model. @@ -219,7 +250,7 @@ curl -X GET http://${HOST_IP}:16010/v1/settings/models -H "Content-Type: applica #### Update a model ```bash -curl -X PATCH http://${HOST_IP}:16010/v1/settings/models/BAAI/bge-reranker-large -H "Content-Type: application/json" -d @examples/test_model_update.json | jq '.' +curl -X PATCH http://${HOST_IP}:16010/v1/settings/models/BAAI/bge-reranker-large -H "Content-Type: application/json" -d '{"model_type": "reranker", "model_id": "BAAI/bge-reranker-large", "model_path": "./models/bge_ov_reranker", "device": "gpu"}' | jq '.' ``` #### Check a certain model @@ -239,14 +270,14 @@ curl -X DELETE http://${HOST_IP}:16010/v1/settings/models/BAAI/bge-reranker-larg #### Add a text ```bash -curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d @examples/test_data.json | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d '{"text":"#REPLACE WITH YOUR TEXT"}' | jq '.' ``` #### Add files from existed file path ```bash -curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d @examples/test_data_dir.json | jq '.' -curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d @examples/test_data_file.json | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d '{"local_path":"docs/#REPLACE WITH YOUR DIR WITHIN MOUNTED DOC PATH#"}' | jq '.' +curl -X POST http://${HOST_IP}:16010/v1/data -H "Content-Type: application/json" -d '{"local_path":"docs/#REPLACE WITH YOUR FILE WITHIN MOUNTED DOC PATH#"}' | jq '.' ``` #### Check all files @@ -270,5 +301,5 @@ curl -X DELETE http://${HOST_IP}:16010/v1/data/files/test2.docx -H "Content-Type #### Update a file ```bash -curl -X PATCH http://${HOST_IP}:16010/v1/data/files/test.pdf -H "Content-Type: application/json" -d @examples/test_data_file.json | jq '.' +curl -X PATCH http://${HOST_IP}:16010/v1/data/files/test.pdf -H "Content-Type: application/json" -d '{"local_path":"docs/#REPLACE WITH YOUR FILE WITHIN MOUNTED DOC PATH#"}' | jq '.' ``` diff --git a/EdgeCraftRAG/assets/img/chat_with_rag.png b/EdgeCraftRAG/assets/img/chat_with_rag.png new file mode 100644 index 0000000000000000000000000000000000000000..04000ef374a9ef1eafab99fac34a1b51c87e0872 GIT binary patch literal 94641 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