Building Knowledge-Grounded AI Agents: RAG Integration with Microsoft AutoGen

πŸ“– Part 4 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems πŸ“š Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 3Part 5 β†’ Building on code generation from Part 3, we now enhance our agents with knowledge retrieval capabilities. ℹ️ INFO Traditional LLM agents rely solely […]

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Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams

πŸ“– Part 3 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems πŸ“š Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 2Part 4 β†’ Building on communication patterns from Part 2, we now apply them to automated code generationβ€”one of the most powerful applications of multi-agent systems. […]

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Cloud-Native AI Architecture: Patterns for Scalable LLM Applications

Cloud-Native AI Architecture: Patterns for Scalable LLM Applications Expert Guide to Building Scalable, Resilient AI Applications in the Cloud I’ve architected AI systems that handle millions of requests per day, scale from zero to thousands of concurrent users, and maintain 99.99% uptime. Cloud-native architecture isn’t just about deploying to the cloudβ€”it’s about designing systems that […]

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Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration

πŸ“– Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems πŸ“š Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns ← Previous: Part 1 Next: Part 3 β†’ Building on the core concepts from Part 1, this article explores the communication patterns that […]

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