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Agentic RAG — From Passive Retrieval to Active Reasoning with LangGraph

Part 4 of the RAG Series: The jump from passive retrieval to active reasoning. Build LangGraph agents that decompose questions, iterate over retrieval loops, use SQL tools and MCP servers, and hand off between specialised agents.

Architectures of Choice — Adaptive, Corrective, and Modular RAG with LangGraph

Part 3 of the RAG Series: Stop building RAG systems that do the same thing for every query. Adaptive RAG, Corrective RAG, and Modular RAG — built with LangGraph state machines — give you systems that route, self-correct, and stay composable.

The 2026 Agentic Stack: Engineering Autonomy in the Age of Open Protocols

In 2026, the agentic stack has two distinct layers that most engineers conflate: building frameworks and deployment platforms. Here's the complete engineering map — covering LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, LlamaIndex, ADK, and every managed platform worth knowing.

The Retrieval Multiverse — Vectors, Graphs, and Why Hybrid Is the Only Way to Go

Part 2 of the RAG Series: Production RAG in 2026 is never vector-only. Learn why hybrid search, GraphRAG, and late chunking each solve problems that pure vector search cannot — with LangChain and LangGraph code throughout.

Why 80% of RAG Demos Die in Production (And How to Fix It at the Source)

Part 1 of the RAG Series: Why 80% of RAG prototypes fail in production — and how shifting your mindset from "vector search + prompt" to a Knowledge Runtime fixes it at the source.

Train Once, Forget Forever — The Race to Build AI That Actually Learns Continuously

Every AI model you use today was trained once, frozen in time, and slowly going stale. The world's top labs — Google, OpenAI, Anthropic, SSI — are now racing to fix this. Here's what's at stake and how they're approaching it.

Foundational AI Research is Thriving in Bengaluru: Insights from the Lossfunk Batch 7 Residency

A day at the Lossfunk Batch 7 Residency Graduation in Bengaluru — covering foundational AI research on reasoning, bio-AI, model efficiency, self-healing infrastructure, and agentic memory.