# Langchain examples The examples in this folder shows how to use [LangChain](https://www.langchain.com/) with `ipex-llm` on Intel GPU. ### 1. Install ipex-llm Follow the instructions in [GPU Install Guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html) to install ipex-llm ### 2. Install Required Dependencies for langchain examples. ```bash pip install langchain==0.0.184 pip install -U chromadb==0.3.25 pip install -U pandas==2.0.3 ``` ### 3. Configures OneAPI environment variables #### 3.1 Configurations for Linux ```bash source /opt/intel/oneapi/setvars.sh ``` #### 3.2 Configurations for Windows ```cmd call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" ``` > Note: Please make sure you are using **CMD** (**Anaconda Prompt** if using conda) to run the command as PowerShell is not supported. ### 4. Runtime Configurations For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device. #### 4.1 Configurations for Linux
For Intel Arc™ A-Series Graphics and Intel Data Center GPU Flex Series ```bash export USE_XETLA=OFF export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 ```
For Intel Data Center GPU Max Series ```bash export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1 export ENABLE_SDP_FUSION=1 ``` > Note: Please note that `libtcmalloc.so` can be installed by `conda install -c conda-forge -y gperftools=2.10`.
#### 4.2 Configurations for Windows
For Intel iGPU ```cmd set SYCL_CACHE_PERSISTENT=1 set BIGDL_LLM_XMX_DISABLED=1 ```
For Intel Arc™ A300-Series or Pro A60 ```cmd set SYCL_CACHE_PERSISTENT=1 ```
For other Intel dGPU Series There is no need to set further environment variables.
> Note: For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile. ### 5. Run the examples #### 5.1. Streaming Chat ```bash python chat.py -m MODEL_PATH -q QUESTION ``` arguments info: - `-m MODEL_PATH`: **required**, path to the model - `-q QUESTION`: question to ask. Default is `What is AI?`. #### 5.2. RAG (Retrival Augmented Generation) ```bash python rag.py -m [-q QUESTION] [-i INPUT_PATH] ``` arguments info: - `-m MODEL_PATH`: **required**, path to the model. - `-q QUESTION`: question to ask. Default is `What is IPEX?`. - `-i INPUT_PATH`: path to the input doc.