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Pinecone, Weaviate, and Qdrant: Why Your Vector Database Bill Arrives 3x Over Estimate
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago
Pinecone, Weaviate, and Qdrant: Why Your Vector Database Bill Arrives 3x Over Estimate
The estimate is priced on how many vectors you have. The bill is driven by things you didn’t put in the spreadsheet Continue reading on Medium »
Stop Building RAG Like It’s 2024: Shift from Vector DBs to Multi Modal Knowledge Graphs
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 4w ago
Stop Building RAG Like It’s 2024: Shift from Vector DBs to Multi Modal Knowledge Graphs
Standard vector search got us surprisingly far. But if you’ve spent enough time building production AI systems, you’ve probably noticed… Continue reading on Med
Weaviate DB Workbench: Manage Your Weaviate Vector Database from Any Platform
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 4w ago
Weaviate DB Workbench: Manage Your Weaviate Vector Database from Any Platform
A zero-config vector database workbench that runs as a VS Code extension, a Chrome extension, a desktop app, an npm package, or a Docker… Continue reading on Me
Making RAG 32x Cheaper with This Simple Trick(That Most Teams Miss)
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Making RAG 32x Cheaper with This Simple Trick(That Most Teams Miss)
Here’s why some of the biggest RAG and AI search systems already use it, explained without the math. Continue reading on AI Engineering Simplified »
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
A Local Rag Pipeline for My D&D Campaign
Youtube video here: https://youtu.be/B2S3LrHcoxg?si=82JLLbWJSGW5NoPr Continue reading on Medium »
How Building a RAG System Taught Me What RAG Actually Is
Medium · Programming 🔍 RAG & Vector Search 1mo ago
How Building a RAG System Taught Me What RAG Actually Is
I built a RAG system at my last role, using LangChain and pgvector, and later fine-tuned an open-source model on top of it. Before that… Continue reading on Med
How to Build a Production-Grade RAG Pipeline
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
How to Build a Production-Grade RAG Pipeline
A guide to building and deploying resilient RAG applications. Continue reading on Towards AI »
Do You Really Need a Dedicated Vector Database? When pgvector Is Enough
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Do You Really Need a Dedicated Vector Database? When pgvector Is Enough
My manager asked one question during our sprint demo that I still think about. Continue reading on Medium »
Everyone Building RAG Is Getting Vector Databases Wrong
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Everyone Building RAG Is Getting Vector Databases Wrong
Here’s the Explanation That Finally Clicks Continue reading on SYNERGY »
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
From “It Works” to “I Can Prove It Works”: Building an Evaluation Harness for a RAG Pipeline
How a six-step learning project on ISO/IEC 27001 turned into a lesson about what actually separates a demo from an engineering artifact. Continue reading on Med
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
I Benchmarked pgvector vs Qdrant vs Pinecone on 50M Vectors — Postgres Crushed the Dedicated DBs by…
I did not expect a 40-year-old relational database to win this. Continue reading on Towards AI »
How to Cut RAG Token Costs 90% by Caching the Prefix
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
How to Cut RAG Token Costs 90% by Caching the Prefix
In a typical RAG call, the user’s question is 50 tokens and the payload wrapped around it is 4,000. You are paying full input price, on… Continue reading on Med
Comment un hacker attaque votre système RAG en 2026
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Comment un hacker attaque votre système RAG en 2026
Et pourquoi le prompt enrichi est le point faible Continue reading on Medium »
Vector Databases and Embeddings Explained: The Guide I Needed 5 Months Ago
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Vector Databases and Embeddings Explained: The Guide I Needed 5 Months Ago
From what embeddings actually are to how similarity search works under the hood, clearly explained for anyone building with AI Continue reading on Medium »
Why you shouldn’t search your documents directly with AI
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Why you shouldn’t search your documents directly with AI
Everyone’s first retrieval-augmented system looks the same: chop the documents into pieces, turn each piece into a vector, search the… Continue reading on Mediu
Vector Databases — The Missing Piece in the RAG Puzzle
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago
Vector Databases — The Missing Piece in the RAG Puzzle
Vector databases store meaning-numbers and find close matches — the retrieval shelf behind most RAG systems. Continue reading on Medium »
Building a Local Text-to-SQL RAG Pipeline: Architecture, Code, and Honest Trade-offs
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago
Building a Local Text-to-SQL RAG Pipeline: Architecture, Code, and Honest Trade-offs
Business users ask for reports. Data engineers write SQL. Continue reading on Medium »
How Vector Search Actually Works: IVF and HNSW
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago
How Vector Search Actually Works: IVF and HNSW
IVF’s cluster-and-probe vs HNSW’s small-world graph — recall, memory, build time, and how each lands in pgvector and FAISS. Continue reading on Medium »
Why Your RAG Pipeline Will Break
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago
Why Your RAG Pipeline Will Break
I Tested RAG at 10 Million Documents. Here’s What Nobody Tells You About Scale. Continue reading on Medium »
Fixed-Size Chunking Is Killing Your RAG App. Here’s What Actually Works.
Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago
Fixed-Size Chunking Is Killing Your RAG App. Here’s What Actually Works.
You asked your RAG app a question last week, got an answer that sounded confident and polished, and only later realized it was wrong in a… Continue reading on M