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RAG Systems & Vector Databases

Your Company's Digital Memory - Instant Access to All Knowledge

The Problem with Generic AI

ChatGPT knows everything about the world, but nothing about YOUR company. It can't answer questions about your products, processes, or institutional knowledge.

Meanwhile, your company's most valuable insights are scattered across databases, documents, emails, and people's heads - inaccessible and unused.

The Solution: Corporate Memory

RAG (Retrieval Augmented Generation) systems give AI instant access to all your company knowledge. It's like having a digital nervous system that connects every data source and makes it queryable in natural language.

What is RAG?

RAG systems retrieve relevant information from your databases before generating answers, ensuring responses are based on YOUR data, not generic internet knowledge. The AI can cite sources and provide evidence-based answers specific to your business.

Why RAG Systems Matter

Zero Search Costs

Answers appear in seconds, not hours. No more hunting through folders or asking around the office.

Evidence-Based Answers

Every answer cites sources. You know exactly where information comes from and can verify it.

Collective Intelligence

Connect all your data sources - CRM, ERP, documents, databases. The whole becomes greater than sum of parts.

No Training Needed

Models don't train on your data. Information stays in your vector database, secure and under your control.

How It Works

We build RAG systems using cutting-edge technology:

  • Vector Databases - Store and search semantic meaning, not just keywords
  • LlamaIndex - Intelligent data connectors and query engines
  • Embeddings - Convert your content into searchable mathematical representations
RAG Systems & Vector Database - Enterprise Knowledge | Beta Space Studio | Beta Space Studio