Python Advanced Topics: Generators, Decorators & Packages
An in-depth exploration of Python packages, generators, and decorators.
Python
Retrievers in LangChain: Data Sources, MMR & Contextual Compression
Understand how retrievers work in LangChain, explore different retriever types, and learn how to use MMR and Contextual Compression to improve relevance, diversity, and efficiency in RAG pipelines.
Python Advanced Operations: Ranges, Enums & Zip
An in-depth exploration of advanced Python operations to enhance your programming skills.
Retrieval Augmented Generation (RAG) in LangChain: Architecture & Practical Example
Learn how Retrieval Augmented Generation (RAG) works in LangChain with clear architecture diagrams and a complete YouTube summarizer chatbot implementation using Chroma, Ollama, and runnable chains.
Essential Python Packages: JSON, OS, Time & UUID
An in-depth look at frequently used important package.
LangChain Tools and Agents: Concepts, Tool Calling, and ReAct Agents Explained
Understand how LangChain tools and agents work together. This guide covers built-in and custom tools, tool binding, tool calling, execution flow, and ReAct agents with real Python examples.
Python Requests Module: HTTP Requests Made Easy
An in-depth exploration of Python request.
Python Shared References: Mutability & Memory Management
An in-depth look at shared references in Python.