Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
Published:Jan 29, 2024 19:19
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Ram Sriharsha, VP of Engineering at Pinecone. The discussion centers on Retrieval Augmented Generation (RAG) applications, specifically focusing on the use of vector databases like Pinecone. The episode explores the trade-offs between using LLMs directly versus combining them with vector databases for retrieval. Key topics include the advantages and complexities of RAG, considerations for building and deploying real-world RAG applications, and an overview of Pinecone's new serverless offering. The conversation provides insights into the future of vector databases in enterprise RAG systems.
Key Takeaways
- •The podcast episode focuses on RAG applications and the use of vector databases.
- •It explores the trade-offs between using LLMs directly and combining them with vector databases.
- •Pinecone's new serverless offering is a key topic, highlighting its features and impact.
Reference
“Ram discusses how the serverless paradigm impacts the vector database’s core architecture, key features, and other considerations.”