Part 5/10:

• Text analytics tools generate semantic metadata, enhancing search relevance.

• Embeddings generated via OpenAI's GPT-3 models are compressed to 256 dimensions, balancing accuracy and computational efficiency.

Building a Contextual Search Index

• Indexing of SQL code snippets, combined with embeddings, allows semantic, hybrid, and traditional keyword searches.

• Indexing supports rapid retrieval of relevant objects, significantly reducing manual effort.

Handling Complex Queries and User Prompts

To help users explore data lineage and other insights, the framework:

• Validates input prompts for safety and clarity.

• Uses Lucene-based query syntax with proximity search for precise retrieval.

• Applies custom ranking algorithms to reduce redundant or irrelevant results.