Embeddings Archives

Build a Personal AI Knowledge Base with Obsidian, Ollama and ChromaDB: Offline Semantic Search for Your Notes

July 20, 2026

Keyword search fails when you need it most — 2 AM, 600 notes, and the answer is in there somewhere with a title you don't remember. This guide builds a fully offline personal AI knowledge base using Obsidian, Ollama, and ChromaDB so you can search your notes by meaning, not by exact wording, with no cloud dependency.

Database

PostgreSQL as a Vector Database: A No-Nonsense Guide to pgvector

April 12, 2026

Don't add another database to your stack. Learn how to use the pgvector extension to turn PostgreSQL into a powerful vector store for AI embeddings and similarity search.

RAG Explained: How to Keep Your LLMs Honest in Production

March 17, 2026

Is your LLM hallucinating or providing outdated info in production? Retrieval-Augmented Generation (RAG) is your solution. This tutorial details RAG's architecture and offers a Python example for building reliable, fact-based AI systems.

Vector Database Explained: Pinecone, Weaviate, ChromaDB for AI Engineers

March 17, 2026

Vector databases like Pinecone, Weaviate, and ChromaDB are crucial for today's AI applications and semantic search. This tutorial explains the core problem they address, compares their features, and offers practical code examples to guide your project's tool selection.