Embeddings

Introduction to LangChain: Concepts, Models & LLM Integration

A comprehensive introduction to LangChain explaining its core concepts, supported model types, and hands-on integration with Ollama LLMs, chat models, and embedding models.

Vector Stores in LangChain: Embeddings, Semantic Search & Similarity Retrieval

Learn how vector stores work in LangChain, from embeddings and similarity search to using Chroma for storing, querying, filtering, and managing high-dimensional vector data in RAG and recommendation systems.

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.