Part 22: Vector Databases - Pinecone, Chroma, Milvus & PGVector
Learn index types (HNSW, IVF), metadata filtering, hybrid search, performance tuning, and managed vs self-hosted vector databases.
Career Guide#AI
Dev Career Guide Dev Career Guide Part 23: RAG Architectures - Semantic Retrieval & Knowledge Systems
Master chunking strategies, embedding models, re-ranking (Cohere), hybrid search, contextual compression, and evaluation frameworks for RAG systems.
Career GuideDev Career Guide Part 24: LangChain Foundations - Chains, Prompts & Memory
Learn LangChain chains, prompts, output parsers, memory types, document loaders, text splitters, retrievers, and callbacks for LLM applications.
Career GuideDev AI/ML Building Real-World RAG Pipelines with LangChain
A practical guide to building Retrieval-Augmented Generation pipelines for production applications using LangChain and vector databases.
AI/ML