Retrieval-Augmented Generation
Generic LLMs don't know your business. RAG bridges this gap by retrieving relevant documents from your private knowledge base and feeding them to the AI as context. This ensures answers are accurate, up-to-date, and cited.
Key Benefits
- Eliminate Hallucinations: The AI is grounded in your facts. If the answer isn't in your documents, the system says "I don't know" instead of making things up.
- Data Privacy: Your data stays in your environment. We use RAG architectures where the LLM only sees the specific snippets needed to answer the query.
- Dynamic Updates: No need to retrain models. Just update your document store, and the AI knows the new information instantly.
