Tips, Expertise, Articles and Advice from the Pro's for Your Website or Blog to Succeed
This is the third and last part of a mini-series about building a vector search-based GenAI application with Python and DataStax Astra DB. In this post, we complete the application by using the search (from Part 2) as a starting point to implement a "philosophical quote generator."
If you haven't already, check out part one, where all the important concepts are explained, and part 2, which explains how the search engine takes advantage of vector embeddings stored in Astra DB.
The field of generative AI (GenAI), which has ignited a computing revolution this year, encompasses several technologies, key ideas, and paradigms. Although there will surely be more astonishing developments to come, vector search has become one of the most crucial tools in GenAI.
In this three-part series, we will demonstrate the power of vector search by building a vector store from scratch and using it to accomplish two standard tasks: semantic search and text generation based on provided examples.