Graph your Document: How To Use Langchain and Matplotlib To Build a Knowledge Graph
In this easy-to-follow guide, we are going to see a complete example of how to use Langchain and Matplotlib To Build a Knowledge Graph. Recently, Langchain Ai has added support to graph data structures. As someone interested in the integration of LLms and Knowledge of Graph, I am excited to give it a try for the first time!
put simply, A Knowledge Graph organizes data from various sources, gets information on entities in a specific domain (e.g., people or places), and creates connections between them in order for the data to be made understandable by the computer.
Now let’s get practical! We’ll develop our chatbot on Graph Knowledge with very little Python syntax. You want to start by creating a (venv) on your local machine. First, open your terminal and create a virtual environment.Finally, we’ll need to set an environment variable for the OpenAI API key Now, that we’re all set, let’s start! Create a file named “Knowledge Graph.py”, where we will write the functions for answering questions.
0 Comments