How Anthropic Is Reinventing RAG Systems with Contextual Retrieval

Anthropic is redefining Retrieval-Augmented Generation (RAG) systems by addressing one of their most persistent limitations: lack of context. Traditional RAG pipelines rely on semantic similarity and keyword matching to retrieve relevant information chunks, but they often miss critical details hidden in surrounding content. Anthropic’s new approach—built on contextual embeddings and chunk-aware prompting—improves precision, reduces retrieval […]

Comparison of Major LLM Architectures (2017– 2025)

A concise, personal comparison of key LLM architectures developed over the past few years. This document reflects my individual understanding and curiosity-driven research from the year 2017 to February 2025. This is by no means an exhaustive list, and many other excellent models exist in the field. 🎯 List of LLMs Covered (2017–2025) Transformer, BERT, […]

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 […]

Smarter Automation With Burr: The Future of Decision-Making

Burr – a stateful AI decision engine that allows developers to build structured, interactive AI workflows efficiently. In this article, we will: ✅ Explore Burr’s stateful AI workflow✅ Build an AI-powered chatbot using Burr✅ Deploy the chatbot with structured transitions and state updates✅ Compare Burr with other AI orchestration tools By the end, you’ll have […]

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 […]

Run Gemma 3 Locally Using Open WebUI

Experience the latest Google open-source model on your laptop with Ollama, Docker, Open WebUI, and GPU acceleration for optimal performance. In this tutorial, we will learn to run Gemma 3 locally using Open WebUI, a user-friendly interface that simplifies deploying large language models on personal hardware. Open WebUI, alongside tools like Ollama, makes it possible […]