AI that uses your enterprise data safely without retraining the model
Retrieval Augmented Generation (RAG) is a method that allows AI models to use your internal enterprise data safely without retraining the model. It retrieves relevant information from your documents or systems and combines it with the model's reasoning ability to produce accurate, context aware responses.
RAG gives companies the accuracy of custom AI without the cost, time, or risk of traditional fine tuning.
Most organizations want AI that is accurate, compliant, and tied to real business knowledge. RAG solves this by allowing the model to reference trusted internal content instead of relying on generic model knowledge.
The AI answers from approved, verified enterprise data.
No model training required. Data changes can be updated instantly.
Your data stays in your environment and is not used to retrain public models.
Ideal for industries with regulatory responsibilities: financial services • healthcare • retail • technology
RAG improves accuracy, reduces manual search time, and ensures responses follow company rules.
RAG has four core steps.
Documents, PDFs, webpages, knowledge bases, CRM notes, and more.
Transform the text into vectors that capture semantic meaning.
Use systems like Elasticsearch, Pinecone, Weaviate, or BigQuery Vector Search.
The AI model uses the retrieved chunks plus the question to generate accurate output.
This allows the model to behave as if it has been trained on your entire knowledge base without actually training it.
RAG is powerful but difficult for enterprises to implement correctly. Gyde solves this through a combination of people, platform, and proven execution.
A team focused entirely on your RAG implementation.
Everything you need to build production-grade RAG systems.
Your RAG workflow goes from idea to production through a predictable playbook.
Most companies begin with one high value workflow and then expand across departments as the system matures.
For most enterprise use cases, yes. RAG is faster, safer, and easier to update.
Yes. Gyde provides ingestion adapters for these systems.
No. Gyde supports Elasticsearch, Pinecone, Weaviate, BigQuery Vector Search, and others.
Yes. It is often preferred because data remains fully controlled.
Yes. New content should be ingested, and pipelines monitored. Gyde manages this for you.
Start your AI transformation with production grade RAG systems delivered by Gyde.
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