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Interactive Guide to RAG Techniques: From Vanilla to Agentic

rag llm vector-db ai gemini pinecone embeddings retrieval interactive tutorial

A hands-on interactive guide to RAG (Retrieval-Augmented Generation) techniques. Learn by doing - chat with different RAG implementations and understand how each approach works.

Understanding Dense Passage Retrieval (DPR): The Engine Behind Modern Search

dpr rag embeddings llm retrieval nlp vector-db ai

A beginner-friendly deep dive into Dense Passage Retrieval (DPR) - the dual-encoder architecture that revolutionized how machines find relevant information. Learn how DPR powers modern RAG systems through intuitive analogies and interactive demos.

Building a Production-Ready Load Balancer from Scratch in Go

go load-balancer systems-design backend distributed-systems

I got curious about what happens between a user's request and your backend servers. So I built my own load balancer in Go—here's the journey, the gotchas, and how you can build one too.

Building a PyTorch RNN-Based Question Answering System

pytorch rnn neural-networks question-answering deep-learning

Learn how to build a simple RNN-based QA system using PyTorch from scratch - covering tokenization, embeddings, and sequence modeling.

What is model serialization? How to serialize and deserialize models in Python

machine-learning python serialization deployment mlops

Master model serialization fundamentals and learn when to use pickle vs joblib for production ML systems with hands-on examples.