

DataStax and the Future of Real-Time Data Applications with Jonathan Ellis
5 snips Nov 19, 2024
Jonathan Ellis, Co-founder of DataStax, shares his journey in tech and his passion for coding while developing innovative vector search products. He discusses the integration of AI in DataStax solutions, exploring its future in real-time data applications. Ellis highlights the challenges of optimizing large vector embeddings and the potential consolidation of tools within data applications. The conversation also touches on the impact of AI tools like GitHub Copilot, balancing efficiency with essential coding skills among new engineers.
AI Snips
Chapters
Transcript
Episode notes
Return to Coding
- Jonathan Ellis, co-founder of DataStax, prefers coding over management.
- He transitioned back to a technical role after realizing management didn't suit him.
DataStax's AI Stack
- DataStax aims to be a comprehensive platform for generative AI applications.
- They offer vector search, hosted databases, embedding computation, and Langchain integration.
RAG Pipeline Challenges
- Building RAG pipelines involves many decision points with potential trade-offs.
- DataStax simplifies this by offering best practices and reusable components through Langflow.