Oliver Chiu

Nov 25, 2024 | databricks.com | Shiv Trisal |Caitlin Gordon |Akhil Gupta |Oliver Chiu

"We are delving deeper into the capabilities of MLFlow tracing. This functionality will be instrumental in diagnosing performance issues and enhancing the quality of responses from our Customer Call Support chatbot. Additionally, we are working on several exciting projects, including establishing a feedback loop for our wildfire LLM and implementing more agent-based RAG initiatives.

Sep 9, 2024 | databricks.com | Prasad Kona |Maria Pere-Perez |Akhil Gupta |Oliver Chiu

Imagine giving your business an intelligent bot to talk to customers. Chatbots are commonly used to talk to customers and provide them with help or information. But, the usual chatbots sometimes struggle to answer complicated questions. What is RAG? Retrieval Augmented Generation (RAG) is a method that makes chatbots better at understanding and responding to tough questions. This Generative AI design pattern combines large language models (LLMs) with external knowledge retrieval.

Aug 26, 2024 | databricks.com | Sergei Tsarev |Oliver Chiu |Akhil Gupta

We're excited to announce the general availability of hybrid search in Mosaic AI Vector Search. Hybrid search is a powerful feature that combines the strengths of pre-trained embedding models with the flexibility of keyword search. In this blog post, we'll explain why hybrid search is important, how it works, and how you can use it to improve your search results.

Jul 2, 2024 | databricks.com | Patrick Wendell |Naveen Rao |Akhil Gupta |Oliver Chiu

Databricks announced the public preview of Mosaic AI  Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI Summit 2024. These tools are designed to help developers build and deploy high-quality Agentic and Retrieval Augmented Generation (RAG) applications within the Databricks Data Intelligence Platform.

Jun 12, 2024 | databricks.com | Patrick Wendell |Naveen Rao |Akhil Gupta |Oliver Chiu

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks. While general models are an important building block, production AI applications often employ Compound AI Systems, which leverage multiple components such as tuned models, retrieval, tool use, and reasoning agents. AI systems augment foundation models to drive much better quality and help customers confidently take these GenAI apps to production.