Tag feed

#pgvector

29 posts1 followers

Explore Hashnode

Alternatives

Trending tags this week

DADaniel Anthony Romitelli Jrcraftedbydaniel.hashnode.dev3d ago · 10 min read

Why I Kept Search Scope Inside a Single Supabase RPC

The embedding was right. The similarity score was right. The answer was completely wrong. The chunk that came back shared vocabulary with the query, shared naming conventions, shared architectural pat

0

MSManu Shuklaecorpit.hashnode.dev4d ago · 15 min read

4 Postgres vector search options compared: pgvector, pgvectorscale, ParadeDB, Lantern (2026)

4 Postgres vector search options compared: pgvector, pgvectorscale, ParadeDB, Lantern (2026) Summary. For most retrieval-augmented generation (RAG) workloads in 2026, the vector database you already r

0

VSVarun Sharmavarunsls.hashnode.devJul 20 · 6 min read

Filtered vector search in pgvector can silently lose recall

Why WHERE tenant_id = 42 ORDER BY embedding <-> $query LIMIT 10 can return fewer correct neighbors than you think - and how to know when it's happening to you. Almost every RAG app eventually writes a

2

VA

GKGaurav Kumargauravbytes.devJul 20 · 6 min read

pgvector for RAG Search: Schema, Storage, and Retrieval, With Real Results

RAG search has four moving parts: split the document, turn text into vectors, store those vectors somewhere queryable, and pull the right ones back out at query time. This post covers the last two — c

0

APAnkita Patilblog.ankitapatil.devJul 16 · 5 min read

Building a Production-Style AI System: Designing VibeFit from Image Upload to Intelligent Recommendations

Live Demo → Experience the application. Architecture Walkthrough → Understand how the system works. Source Code → Explore the implementation. Project Deep Dive → Read the complete architecture and

0

MMMihai Marinescufeaturingcode.comJun 20 · 31 min read

RAG From First Principles: How a PDF Becomes a Searchable Answer

As a disclaimer, my project was created without spending any money on tokens at Voyage, Grok or Clerk for auth - meaning all the implementation was done on their free tier. The principles remain the s

7

JSZ

TPTushar Patilblog.techtush.inMay 16 · 16 min read

🔒 Multi-Tenant RAG: Row-Level Security in pgvector with MCP

This is Part 11 of the AI Engineering with TypeScript series. Prerequisites: Part 6 — Multi-Tenant Sessions · Part 10 — MCP + RAG Stack: Node.js 20+ · TypeScript 5.x · PostgreSQL 16 · pgvector · @mode

0

TPTushar Patilblog.techtush.inMay 15 · 16 min read

🔍 MCP + RAG: Building a Knowledge-Base Tool with Vector Search in TypeScript

This is Part 10 of the AI Engineering with TypeScript series. Prerequisites: Part 2 — MCP Fundamentals · Part 3 — AI Agent · Part 5 — Production MCP Server Stack: Node.js 20+ · TypeScript 5.x · OpenAI

0

DPDigit Patroxdigitpatrox.hashnode.devMay 12 · 6 min read

How to Build a RAG System with pgvector and LangChain: The Production Architecture

Most production AI failures are not model failures. They are retrieval failures. If you want to understand why your Retrieval-Augmented Generation (RAG) system is hallucinating, stop looking at your p

1

D

EEntreelistiaq.hashnode.devMay 8 · 6 min read

Benchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications - Blog Post

Benchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications I've spent the last three months stress-testing vector indexes in production environments, and the results challenge conventional wisdom about when to use each index type. ...

0

#pgvector

Search Hashnode

#pgvector

Explore Hashnode

Trending tags this week

Why I Kept Search Scope Inside a Single Supabase RPC

4 Postgres vector search options compared: pgvector, pgvectorscale, ParadeDB, Lantern (2026)

Filtered vector search in pgvector can silently lose recall

pgvector for RAG Search: Schema, Storage, and Retrieval, With Real Results

Building a Production-Style AI System: Designing VibeFit from Image Upload to Intelligent Recommendations

RAG From First Principles: How a PDF Becomes a Searchable Answer

🔒 Multi-Tenant RAG: Row-Level Security in pgvector with MCP

🔍 MCP + RAG: Building a Knowledge-Base Tool with Vector Search in TypeScript

How to Build a RAG System with pgvector and LangChain: The Production Architecture

Benchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications - Blog Post