Building RAG with pgvector: Why I Stopped Paying for Pinecone
5d ago · 8 min read · The $340 invoice showed up on a Tuesday in late January. Not wild money in isolation, but this was for an internal RAG tool serving exactly 11 people — my team at a fintech startup — and when I did the math, that was $30 per user per month for what a...
Join discussionRAG System Setup Guide with Pinecone and OpenAI Embeddings
Feb 13 · 9 min read · Content Role: pillar RAG System Setup Guide with Pinecone and OpenAI Embeddings Retrieval Augmented Generation (RAG) has become the de facto architecture for building AI systems that need to answer questions accurately using proprietary or domain-sp...
Join discussionPinecone Vector Database: Store and Search AI Embeddings
Feb 12 · 4 min read · Pinecone Vector Database: Store and Search AI Embeddings The Mistake That Cost Me $2000 in API Bills Three weeks ago, I learned this lesson the hard way. Let me save you from the same pain. Table of Contents Why This Matters Now Understanding the Fu...
Join discussionWhy rag not good for structure data
Feb 9 · 3 min read · How Adeloop Uses RAG for Unstructured Data — and Why Structured Data Needs a Different Approach When people hear RAG (Retrieval-Augmented Generation), they often assume it is a universal solution for all data problems.In practice, this is not true. ...
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Is Pinecone Down? How to Check Pinecone Status in Real-Time
Feb 5 · 4 min read · Quick Answer: To check if Pinecone is down, visit apistatuscheck.com/api/pinecone for real-time monitoring, or check the official status.pinecone.io page. Common signs include index creation failures, upsert timeouts, query latency spikes, rate limit...
Join discussionBuilding 'Synapse': A Deep Dive into a Dynamic RAG Agent with Mastra, Pinecone, and Google Search
Nov 4, 2025 · 14 min read · In the world of AI assistants, getting a correct answer is harder than just getting a fast one. Large Language Models (LLMs) are notorious for "hallucinating" or confidently providing answers based on outdated information. For developers, this is a c...
Join discussion🧠 Building “Mr. Helpful”: An AI-Powered Customer Support Workflow Using n8n, Gemini, and Pinecone
Oct 28, 2025 · 6 min read · 🏁 Introduction Handling customer support manually is tedious. You have to: Read incoming support emails Classify them correctly Craft empathetic replies Escalate feature requests to developers Keep track of everything in threads for transparenc...
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Building an Enterprise-Grade RAG Pipeline: A Comprehensive Guide to Document Intelligence.
Oct 21, 2025 · 8 min read · Introduction In today's data-driven world, organisations are drowning in documents while struggling to extract meaningful insights from them. Traditional search methods fall short when dealing with complex, unstructured content that requires contextu...
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🚀 Building “Azure Sensei”: My Self-Hosted AI Tutor for Learning Azure (with n8n, Gemini, Pinecone & Discord)
Oct 16, 2025 · 5 min read · Learning Azure can be overwhelming, documentation scattered everywhere, updates rolling in constantly, and concepts overlapping across services. So I decided to do what any tinkerer would, build an AI Tutor that learns from my own resources and answe...
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