🗂️ Vector Databases - minezone · Scour

Introducing Citai: the RAG engine I built across 6 articles 💬Prompt Engineering

dev.to·2d·DEV

Advance Your RAG with a Multi-Index Agent 🔧DSPy

pub.towardsai.net

·6d

How I Built an AI Document Ingestion Pipeline 🔤Text Processing

dev.to·2d·DEV

Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask 🧲Vector Search & Embeddings

The Dot Product: How AI Measures Similarity 🔢Embeddings

dev.to·6d·DEV

Chapter 6: Embeddings, the Forward Pass, and the Loss Function 🔢Embeddings

dev.to·5d·DEV

Searching Billions in Seconds: How HNSW Solved the Scale Problem 🌸Bloom Filters

dev.to·3d·DEV

Why Every RAG Company Is Quietly Building a Graph Layer in 2026 🧲Vector Search & Embeddings

dev.to·4d·DEV

🧩 The Puzzle is Complete: From 70s Vectors to Modern AI Agents Nothing New Under the Sun ☀️ 🔧DSPy

dev.to·3d·DEV

Introduction to RAG for LLMs: Sparse (Lexical) RAG and Dense RAG (Semantic Vector Search) 🔍RAG

dev.to·5d·DEV

🤖 AI Dev Tools 💬AI Code Assistants

dev.to·6d·DEV

Beyond Keyword Search: How Synthadoc v0.2.0 Combines BM25 and Vector Search to Build a Smarter Domain Wiki 🔤Text Processing

dev.to·4d·DEV

From 62% to 94% RAG Accuracy: The 5 Architecture Changes That Actually Moved the Needle 🔍RAG

dev.to·3d·DEV

SQLite Compression Discussions, Real-time Vector Search, & PostgreSQL Scaling Patterns 🗄️Databases

dev.to·6d·DEV

RAG Architecture — Prototype to Production in Three Stages 📊Data Pipelines (ETL)

dev.to·6d·DEV

From Static Data to Conversational AI: Building a RAG-Powered Customer Agent (Part 2) 💬AI Code Assistants

dev.to·3d·DEV

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