Visualizing Chunking Impacts in Agentic RAG with Agno, Qdrant, RAGAS and LlamaIndex

In the AI Agents world of Retrieval-Augmented Generation (Agentic-RAG), one challenge that persists is how Agents chunk our source documents to optimize response accuracy and relevance. This blog series dives into how different chunking strategies — Fixed, Semantic, Agentic, and Recursive Chunking— impact the performance of Agentic RAG systems. Using Agno for creating agent and orchestration and […]

How to Build an MCP Server for Kafka and Qdrant

Building AI applications that truly deliver has been my obsession lately, and I’ve finally cracked something worth sharing. By creating a Kafka-MCP server and connecting it with our existing Qdrant-MCP server, we’ve transformed how our team handles communication and data retrieval. The real magic happened when we linked this setup to Claude for Desktop — suddenly our […]