AI Agents
What Are AI Agents and Why Should You Care?
AI agents are autonomous systems that perceive, reason, and act. Here's a practical breakdown of what they are, how they work, and where the landscape is heading in 2026.
#agents#LLM#overview
Blog
Deep dives into AI agents, tutorials, project breakdowns, and the evolving landscape of artificial intelligence.
Projects
Building a Knowledge Graph from JIRA and Confluence
A hands-on guide to extracting structured knowledge from JIRA tickets and Confluence pages, connecting them into a queryable graph that powers intelligent search.
#knowledge-graph#JIRA#Confluence
Artificial Intelligence
Agent Frameworks Compared: LangGraph vs CrewAI vs AutoGen
A practical comparison of popular agent frameworks — architecture, strengths, trade-offs, and when to use each one.
#frameworks#LangGraph#CrewAI
Tutorials
Getting Started: Your First AI Agent in 30 Minutes
Step-by-step tutorial to build a functional AI agent from scratch using Python and an LLM API. No prior agent experience required.
#tutorial#beginner#Python
Artificial Intelligence
RAG Pipelines: Beyond Naive Retrieval
Most RAG implementations leave accuracy on the table. Here's how to improve retrieval with re-ranking, hybrid search, and contextual chunking.
#RAG#retrieval#embeddings
AI Agents
MCP Servers: Giving Agents Real-World Tools
How the Model Context Protocol lets agents use structured tools — databases, APIs, file systems — safely and reliably.
#MCP#tools#agents