CS Edwards@cs_edwards524

Tutorial: Weaviate vector database (Python v.4) and OpenAI function calling for building a generative search system that recommends board games and suggests friends to play them with, based on natural language queries.

Utilized IBM granite instruct and code models to extract themes and relationships from documents. Intuitive visual representation of document data Easily identify key themes and connections for research and analysis Downstream tasks: Recommendation Systems Data Integration Semantic Search Industries: Education Finance Policy More… Successfully extracted themes and relationships using Granite model and generated Cypher queries for knowledge graph generation in Neo4j Challenges: Given the non-deterministic nature of LLMs Granite code instruct does not always generate a valid query. Future Work: Refining prompts for better/ more predictable and structured outputs from model

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