Code Editor/IDE: Set up an IDE like VS Code or Jupyter Notebook for code development. How Does Retrieval-Augmented Generation (RAG) Work? We all know that large language models (LLMs) are great at generating responses, but if you ask question based on your companies financial status, it ...
pip install unstructured[docx] langchain langchainhub langchain_community langchain-chroma Powered By Then, start the Ollama inference server. ollama serve Powered By Loading the documents It is a best practice to develop and test your code in Jupyter Notebook before creating the app. We wi...
After the above steps you can rundemo.pyand use the LLM with LangChain just like how you do it for OpenAI models. Install Miniconda by following the instructions from theofficial site. To check whether conda was set up correctly $ conda --version ...
Colab is already a Python Notebook environment. So we don't need to install Python and JupyterLab anymore. However, we still need to install the OpenAI libraries and set up our API Key, which you can do by executing a small snippet of code like this at the beginning of the Notebook !
The Jupyter Notebook for this tutorial can be found on GitHub. Step 1: Install the required libraries We will require the following libraries for this tutorial: datasets: Python library to get access to datasets available on Hugging Face Hub ragas: Python library for the RAGAS framework langchai...
Have your OpenAI or Azure OpenAI keys ready to enter when prompted by the Jupyter notebook. Use your web browser to visitaka.ms/sk/repoon GitHub. Clone or fork the repo to your local machine. 备注 If you are new to using GitHub and have never cloned a repo to your local machine, pl...
LlamaIndex uses OpenAI's text-embedding model to vectorize the input data by default. If you don't want to regenerate the embedding data every time, you need to save the data to a vector database. For example, use the open-source Chroma vector database, because it saves data on the lo...
If you prefer, you can carry out the below steps using a Jupyter notebook instead: Video chat completions notebook.Upload videos to Azure Blob StorageYou need to upload your videos to an Azure Blob Storage container. Create a new storage account if you don't have one already.Once...
Once you have it running you can connect to it with Python or use the Applied Rag Notebook. Here is a quick example of how to use the Llamafile with Python: #!/usr/bin/env python3 from openai import OpenAI client = OpenAI( base_url="http://localhost:8080/v1", # "http://<Your...
Private Kaggle Notebook In the next cell of your notebook, createa function to use OpenAI in Kaggle. You can fine tune the parameters (max_tokens, etc.) by following the recommendations of OpenAI. def question(prompt, variable): openai.api_key = mykey ...