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RAG

15
Sep
RAG API Explained: Complete Developer Guide to Retrieval-Augmented Generation APIs in 2025
RAG API Explained: Complete Developer Guide to Retrieval-Augmented Generation APIs in 2025

TL;DR RAG APIs combine the power of large language models with your own data sources to create AI applications that are accurate, current, and contextually relevant. Unlike traditional LLM APIs that work with pre-trained knowledge, RAG APIs retrieve information from […]

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01
Oct
rag for beginners
Rag for Beginners: The 2025 Guide to Retrieval Augmented Generation

Artificial intelligence has made significant strides in processing and generating language, yet it often grapples with a critical limitation: the tendency to produce information that is outdated or, worse, entirely fabricated—a phenomenon known as “hallucination.” For those new to the […]

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01
Oct
rag data sync
RAG Data Sync: What Happens When Your RAG is Out Of Sync With Content

Imagine you’re using a chatbot to get the latest product prices, but it keeps giving you outdated information. Frustrating, right?  This happens when Retrieval Augmented Generation (RAG) systems fall out of sync with their content. RAG systems combine the power […]

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15
Apr
rag
Exploring the Dynamics Between Long Context Windows and RAG Systems in AI

Retrieval Augmented Generation or Long Context? Which technique is better? Predictions There is a lot of hype around AI for how it will transform your business. And nothing has been hotter than Retrieval Augmented Generation or RAG. Here is a […]

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22
Feb
top challenges with rag systems
Overcoming RAG Challenges: CustomGPT.ai’s Innovative Solution

In our exploration of the benefits of Retrieval-Augmented Generation (RAG) and its necessity in enhancing AI applications within the business marketplace, we’ve come to recognize its transformative potential. However, alongside these advancements come unique challenges that require attention to fully […]

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21
Feb
enhancing ai trust with rag
CustomGPT.ai: Enhancing Trust through RAG Technology Implementation

In Artificial Intelligence, trust has emerged as a critical concern, particularly regarding the reliability and transparency of AI-generated responses. As AI systems become increasingly integrated into various applications, ensuring their trustworthiness has become paramount. However, concerns such as biased results, […]

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20
Feb
role of rag content creation
The Transformative Role of RAG and CustomGPT.ai in Content Creation

In almost every industry, content creation serves as a crucial component, influencing audience engagement, shaping perceptions, and contributing to business growth. From journalism to creative writing, media production, and social media marketing, the need for engaging and relevant content is […]

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19
Feb
rag build vs buy
RAG Development: Building vs. Buying Pre-Built Solutions like CustomGPT.ai

Indeed, the adoption of RAG-based solutions is on the rise as businesses recognize the profound impact it can have on the accuracy and reliability of AI applications. However, when it comes to implementing RAG, organizations are faced with a crucial […]

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16
Feb
enterprise rag use cases
Enterprise Applications: 5 Internal and External Use Cases of CustomGPT.ai’s RAG Technology

Enterprises continually seek innovative solutions in the business marketplace to streamline operations, boost productivity, and improve customer experiences. Developing a Custom GPT with CustomGPT.ai offers advanced solutions with versatile capabilities to address both internal and external enterprise needs. As companies […]

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12
Feb
key components of a rag system
The Key Components of a RAG System: A Technical Deep Dive

Building upon the foundation of RAG, which combines retrieval and generation techniques, we will dive into each component practically, providing step-by-step instructions for building and implementing an RAG pipeline. Whether you’re developing a question-answering system, a chatbot, or a content […]

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12
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