Group Product Manager for Microsoft Azure Cognitive Search, a fully-managed search-as-a-service enabling Generative AI based search experiences
Redmond, WA
Joined October 2009
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I am really excited about this update to Azure AI Search which make build enterprise chat (RAG) applications both cheaper and more performant. @AzureSearch azure.microsoft.com/en-us/bl…
Anyone doing anything with RAG apps should follow @pamelafox. She creates great tools and information on advanced RAG techniques. Including this one on evaluating RAG. aka.ms/rag/eval youtube.com/live/scvDXfCMHYU…
I'll be talking about evaluating LLM apps (especially RAG apps, my fav) at Python Data Science Day at 2PM PT today.
Join the stream @ youtube.com/watch?v=scvDXfCM… (It's going all day!)
Liam Cavanagh retweeted
🤖 Want to learn how to build a RAG chat app? Check out our two weeks of live streams in this YouTube playlist: lnkd.in/gMiVQc4U
ALT Image contains these titles of sessions: 🐍 Building a RAG Chat App in Python 🔌 Connecting a RAG Chat App to Azure Cosmos DB 🎨 Customizing your RAG Chat App 🚀 Azure AI Search Best Practices 👁️🗨️ GPT-4 with Vision 💬 RAG Chat Web Components 🔒 Access Control in RAG Chat Apps 📊 Evaluating a RAG Chat App 🛠️ Chat Completion API Tools & Functions in RAG Chat Apps 🔄 Continuous Deployment of your Chat App 🚫 Content Safety for Azure OpenAI 📊 Building a Chat on your Business Data without writing a line of code 🌟 Project Showcase
Liam Cavanagh retweeted
The best retrieval strategies for generative AI hint: you need more than just vector search from @pmc buff.ly/49gyoP8 #Azure
Liam Cavanagh retweeted
Improve your copilot apps— generate high-quality AI responses based on your organization data.
How to use keyword, vector, and hybrid search methods in Azure Cognitive Search. youtu.be/Xwx1DJ0OqCk #VectorSearch Join @deployjeremy @pmc for the How, Why & What.
Liam Cavanagh retweeted
Had the chance to talk with the @MSFTMechanics crew about vector search and how to improve retrieval quality for generative AI apps.
techcommunity.microsoft.com/…
A lot of people assume Vector Search by itself is all you need to get great search results to power applications like Enterprise ChatGPT, but this blog helps understand aspects everyone should think about when choosing the correct approach.
We're seeing lots of generative AI apps that use retrieval-augmented generation: an LLM for reasoning and a vector database for knowledge. Better ranking means better facts fed to the LLM, here's how Azure Cognitive Search can help with that:
techcommunity.microsoft.com/…
Ben wrote a great article on the applications and ways customers are leveraging Generative AI
azure.microsoft.com/en-us/bl… @azure #azurecognitivesearch
Bringing Memory to your AI Apps with Azure Cognitive Search! | Intro to ... youtu.be/4bvnDf0F6yk via @YouTube
Liam Cavanagh retweeted
We now have native Azure Cognitive Search support in @langchain using the new vector search capability!
I've loved the work the #langchain folks have been doing since day one, super fun to get to collaborate with @hwchase17 and crew on this.
🟦Azure Cognitive Search Vectorstore
And finally, the biggest of them all - an integration with Azure Cognitive Search's new vectorstore functionality (still in beta)
Thanks to Fabrizio Ruocco for all his work in merging in!
Docs: python.langchain.com/en/late…
Really excited to have support of Azure Cognitive Search in #langchain along with our new Hybrid and Vector Search support -- making it really easy to build Enterprise #ChatGPT apps python.langchain.com/en/late… #llms #cognitivesearch #azure
Liam Cavanagh retweeted
Listening to Marco's talk at #MSBuild. He's covered some great content on the new Bing, Azure AI Studio, Prompt Flow, summarization, Forms Recognizer, Cognitive Search to ground in your own data, Azure Content Safety, dense captioning, video summarization & locating frames...
@pablocas did an amazing video that talks about how ChatGPT can be used to work with your enterprise data youtu.be/tW2EA4aZ_YQ via @YouTube