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A Deep Dive into Our Privacy-First RAGaaS Pipeline

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) has emerged as a game-changing technology. By grounding Large Language Models (LLMs) in your private, proprietary data, RAG unlocks unprecedented accuracy and relevance. But as we rush to harness this power, a critical question looms: how do we protect the very data that makes this technology so valuable? At RAGlink, we believe that trust isn't an afterthought; it's the foundation. That's why w…

Seb Peterson

CTO - Indie Hacker

Building a Production-Grade RAG System

Retrieval-Augmented Generation (RAG) has taken the AI world by storm. The concept is beautifully simple: connect a powerful Large Language Model (LLM) to your private data, allowing it to answer questions with up-to-date, relevant, and verifiable information. Building a proof-of-concept (PoC) in a Jupyter notebook can feel like magic, often taking just a few hours and a couple of libraries. However, the journey from that magical PoC to a robust, production-grade RAG system that serves thousa…

Seb Peterson

CTO - Indie Hacker

A Deep Dive into Chunking Strategies

Retrieval-Augmented Generation (RAG) is revolutionizing how we build AI applications, blending the vast knowledge of Large Language Models (LLMs) with the precision of external data sources. The result? AI that can provide accurate, up-to-date, and contextually relevant answers. But the magic of RAG doesn't just happen; it relies on a crucial, often overlooked, foundational step: chunking.

Seb Peterson

CTO - Indie Hacker

From Vector Databases to Answer Synthesis

Ever wondered how AI chatbots can quote your company's internal documents or cite the latest research paper verbatim? The magic isn't just a smarter Large Language Model (LLM); it's a clever architecture called Retrieval-Augmented Generation, or RAG. 🤖 RAG is revolutionizing how we interact with AI by giving it a long-term memory. It connects powerful LLMs, like GPT-4, to your specific data, whether that's a collection of legal contracts, your company's knowledge base, or a library of scient…

Seb Peterson

CTO - Indie Hacker