Skip to main content

About Tools Now Support

Products Series Case Studies Projects

HomeBlogContact Hire Me

Avnish Yadav

Engineer. Automate. Build. Scale.

© 2026 Avnish Yadav. All rights reserved.

The Automation Update

AI agents, automation, and micro-SaaS. Weekly.

Explore

Home
Projects
Blogs
Newsletter Archive
About
Contact
Support

Legal

Privacy Policy
Cookie Policy
Disclosure

Connect

LinkedIn GitHub Instagram YouTube

Engineering Notes

Practical guides for AI, automation, and product engineering.

Field notes from systems I build: agents, n8n workflows, developer tools, micro-SaaS, and production architecture.

5Published articles

1/1Current page

AllActive track

Learning Tracks

Essays, tutorials, and systems notes.

AI Agents Automation Dev Tools Japanese Learning

Browse Library

Showing 1-5 of 5 articles

All Salesforce AI Agents Python AI Automation Dev Tools Micro SaaS Web Development

Featured Article

Start with the newest deep dive

Technical Tutorials

Building Long-Term Memory: Setting Up Vector Databases for Semantic Search in LangChain

Avnish Yadav – February 22, 2026 · 8 MIN READ

Building Long-Term Memory: Setting Up Vector Databases for Semantic Search in LangChain

LLMs have a context limit; your data doesn't. Learn how to implement vector databases in LangChain to enable semantic search and build robust RAG pipelines.

AI EngineeringArchitecting Autonomous Agents: A Builder’s Guide to Complex Workflows

Avnish Yadav – February 22, 2026 · 8 MIN READ

Architecting Autonomous Agents: A Builder’s Guide to Complex Workflows

Moving beyond simple chatbots requires a shift in architecture. Here is how to engineer autonomous agents using ReAct loops, tool usage, and state management to handle complex, multi-step objectives.

AI EngineeringBuilding State: A Deep Dive into LangChain Memory for Conversational AI

Avnish Yadav – February 22, 2026 · 7 MIN READ

Building State: A Deep Dive into LangChain Memory for Conversational AI

LLMs are stateless by default. To build a conversational agent that actually remembers, you need to manage context effectively. This guide covers implementing various memory types in LangChain, from basic buffers to summary-based retention.

Core ConceptsBuilding Your First LLM Chain: A Developer's Guide to Sequential Logic

Avnish Yadav – February 22, 2026 · 6 MIN READ

Building Your First LLM Chain: A Developer's Guide to Sequential Logic

LLMs are powerful, but they are stateless. To build real applications, you need to connect outputs to inputs. Here is a practical, code-first guide to building your first chain using Python and LCEL.

AutomationBuild Your First Autonomous AI Agent in 10 Minutes with n8n (Prompt Pack Included)

Avnish Yadav – February 21, 2026 · 8 MIN READ

Build Your First Autonomous AI Agent in 10 Minutes with n8n (Prompt Pack Included)

Stop overcomplicating agents. Learn how to build a functional 'ReAct' agent using n8n that can plan, execute tools, and handle memory. Includes a copy-paste system prompt to get you started.