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Blog

08
Oct
AI in E-commerce: No-Guessing ETAs, Coupons & Order Lookups
E-commerce Needs “No-Guessing” AI

Remove guesswork where buyers hesitate. CustomGPT.ai turns your policies, promos, and order data into a RAG-powered AI agent that returns cited, policy-true answers for shipping ETAs, coupon eligibility, and instant order lookups—securely and on-brand. Result: fewer WISMO tickets, higher conversion/AOV, and faster workflows.

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08
Oct
Make Money with AI Bots in 2025
How to Make Money with AI Bots in 2025: Smart Ways to Build Passive Income Online

Imagine waking up to discover that your online business has been answering customer questions, writing emails, and even making sales — all while you were asleep.  Welcome to 2025, the year when AI bots have quietly become the world’s most […]

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08
Oct
AI Consulting Partnerships
AI Consulting Partnerships: How to Build Strategic AI Alliances

In today’s fast-moving digital world, no business wins alone. The smartest companies aren’t just using AI — they’re partnering through AI. From startups to global enterprises, organizations are realizing that the real edge lies in collaboration. Make Money With AI […]

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08
Oct
RAG Vector Database Selection
RAG Vector Database Selection: Pinecone vs Weaviate vs ChromaDB for Developers

TL;DR When building Retrieval-Augmented Generation (RAG) systems, your vector database choice fundamentally determines performance, cost, and operational complexity. Unlike traditional databases focused on exact matches, vector databases power semantic search by storing high-dimensional embeddings that capture meaning, enabling RAG systems […]

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07
Oct
RAG Evaluation Metrics
RAG Evaluation Metrics: How to Measure and Improve Your RAG System

TL;DR Building a RAG system is straightforward—building one that consistently delivers accurate, relevant responses is not. Without proper evaluation metrics, you’re flying blind, unable to distinguish between minor improvements and system-breaking regressions. Traditional NLP metrics like BLEU and ROUGE miss […]

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06
Oct
RAG vs Prompt Engineering
RAG vs Prompt Engineering: Choosing the Right AI Enhancement Strategy

TL;DR As Large Language Models (LLMs) become central to business applications, developers face a fundamental question: how do you enhance model performance for specific use cases? Two primary approaches dominate the landscape—Prompt Engineering and Retrieval-Augmented Generation (RAG)—each addressing different limitations […]

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05
Oct
RAG vs Semantic Search
RAG vs Semantic Search: Understanding the Key Differences for Developers

TL;DR Many developers entering the AI space encounter similar-sounding technologies—Retrieval-Augmented Generation (RAG) and Semantic Search—and assume they serve the same purpose. While both involve finding relevant information using advanced natural language processing, they solve fundamentally different problems and serve distinct […]

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04
Oct
RAG vs Fine-Tuning
RAG vs Fine-Tuning: When to Use Each Approach for AI Applications

TL;DR When building AI applications with Large Language Models (LLMs), developers face a critical decision: how to adapt these powerful but general-purpose models for specific business needs. Two dominant approaches have emerged—Retrieval-Augmented Generation (RAG) and fine-tuning—each with distinct advantages, limitations, […]

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03
Oct
AI Referrals high intent - high conversion rates
AI referrals ≠ low intent: why these clicks might be your best ones yet

AI referrals aren’t low intent—they’re often the highest-quality clicks you can get. Here’s why, plus a practical playbook to earn and measure them.

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03
Oct
Open Source RAG Frameworks
Open Source RAG Frameworks: Developer’s Complete Comparison Guide

TLDR The open source ecosystem for RAG development has exploded with dozens of frameworks, libraries, and tools. Each promises to make building RAG systems easier, but they take different approaches and excel in different areas. Choosing the wrong framework can […]

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