Unlocking AI Insights: Using LangChain and Azure AI Search with Rishab Kumar
with Rishab Kumar, Cloud Solution Architect, Microsoft
Explore the powerful combination of LangChain and Azure AI Search with Rishab Kumar, Cloud Solution Architect at Microsoft. Learn how these technologies work together to create intelligent search experiences and unlock valuable insights from your data.
Join us for an enlightening conversation with Rishab Kumar, Cloud Solution Architect at Microsoft, as we dive into the powerful combination of LangChain and Azure AI Search. Rishab shares his expertise on leveraging these technologies to build intelligent search solutions that extract meaningful insights from unstructured data.
Episode Highlights
- Understanding the fundamentals of LangChain and its integration with Azure AI Services
- Building semantic search experiences with Azure AI Search
- Implementing Retrieval Augmented Generation (RAG) patterns
- Best practices for optimizing AI search performance and relevance
- Real-world applications and use cases across various industries
Rishab demonstrates practical examples and shares insights from his experience helping organizations implement AI-powered search solutions.
Key Takeaways
- Combining LangChain with Azure AI Search creates powerful AI solutions with less code
- Proper indexing and chunking strategies are critical for effective RAG implementations
- Vector search capabilities enable nuanced understanding of content semantics
- Responsible AI principles should guide all AI search implementations
About Our Guest
Rishab Kumar is a Cloud Solution Architect at Microsoft specializing in Azure AI and search technologies. With extensive experience in building enterprise AI solutions, Rishab helps organizations leverage the power of generative AI and intelligent search to transform their data into actionable insights. He regularly contributes to the developer community through blog posts, speaking engagements, and technical workshops.