Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

"Mastering Apache Solr 7.x" is your practical guide to building, advancing, and optimizing enterprise search solutions using Solr 7. With this book, you will harness the robust features of Solr, implement efficient search capabilities, and tackle complex business intelligence problems to achieve unparalleled search performance. What this Book will help me do Develop and implement efficient schemas using the Solr Schema API. Optimize enterprise search performance with advanced querying and scoring techniques. Implement fault-tolerant and distributed search systems using SolrCloud. Leverage Apache Tika for seamless data indexing and content extraction. Utilize programming languages like JavaScript, Python, and Ruby to integrate with Solr. Author(s) With years of experience in search technologies and deep expertise in Apache Solr, authors None Nair, None Mehta, and Dharmesh Vasoya bring together a wealth of knowledge in this book. Their collaborative insights equip readers to master advanced Solr features, sharing practical examples and real-world applications with a passion for clarity and efficiency. Who is it for? This book is ideal for software developers, data engineers, and database architects who aim to design and implement effective enterprise search systems. It is tailored for readers with prior experience in Apache Solr or Java programming, focusing on those eager to enhance their search solution expertise. Achieve your advanced search system goals here.