Improved Entity and Relationship Extraction Using LLMs
Learn how LLMs are used to extract accurate entities and relationships from the raw text.
We'll cover the following
- Importing OpenAI for using LLMs
- Creating OpenAI client
- Prompting LLM to extract entities and relationships
- Preparing Python lists for entities and relationship tuples
- Complete code: Extracting entities and relationships using LLM and parsing responses into Python lists
- Building and visualizing knowledge graph
- Complete application: Knowledge graph construction and visualization
Importing OpenAI for using LLMs
First, we need to import the OpenAI library to access its LLM services. OpenAI provides APIs that allow us to interact with their models, such as GPT-3 or GPT-4, to perform various natural language processing tasks, including entity and relationship extraction.
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