1582 articles
Master Pinecone from account setup to production RAG — serverless indexes, metadata filtering, hybrid search, and performance tuning. The only Pinecone tutorial you need for building LLM-powered search.
Complete guide to Chroma DB for local vector embeddings and semantic search — installation, collections, filtering, and LangChain integration. The fastest way to add vector search to your LLM project without an API key.
Introduction to Weaviate: distributed vector database with native hybrid search, multi-tenancy, and GraphQL API. Learn to build scalable semantic search and RAG systems with Python and Weaviate Cloud.
Understand how text embeddings enable semantic search — from word vectors to transformer-based embeddings, cosine similarity, and practical implementation for RAG systems. The foundation of every LLM retrieval application.
Master the OpenAI Embeddings API — text-embedding-3-small vs large, batch embedding, dimensionality reduction, cost optimization, and full RAG integration. Everything you need to build production semantic search.