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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.