Vector Database Tutorial: Build Semantic Search from Scratch (2026)
Hands-on tutorial: generate embeddings with OpenAI, store them in ChromaDB, build semantic search with metadata filtering, and index a PDF for Q&A — all in Python.
Vector Database
Pinecone Tutorial: Getting Started with Vector Search in Python (2026)
Learn Pinecone from scratch: create indexes, upsert embeddings, query vectors, and build a semantic search + RAG app with Python and Sentence Transformers.
ChromaDB Tutorial: Build Your First Vector Database with Python (2026)
Learn ChromaDB from scratch: create collections, add documents, query by semantic similarity, filter with metadata, and integrate with Claude to build RAG applications.
RAG Tutorial with Python: Build a Retrieval-Augmented Generation System
Learn how to build a RAG (Retrieval-Augmented Generation) system from scratch in Python. Covers embeddings, vector search, and generation with Claude API — with a complete working example.