Fine-Tuning Open-Source LLMs vs Hybrid RAG: Selecting the Right Architecture for Corporate Data

Enterprise leaders eager to capitalize on generative AI often mistakenly assume they need to fine-tune a massive foundation model on their internal company documents.

Fine-tuning updates a model's style, tone, and domain jargon, but it is notoriously prone to hallucinating factual details and cannot be easily updated as corporate documents evolve daily.

Hybrid Retrieval-Augmented Generation (RAG) combines dense semantic vector search with keyword BM25 retrieval to ground model answers strictly in verifiable corporate documentation with zero hallucination.

AVELIO designs enterprise RAG architectures that deliver sub-second, factually verifiable answers directly from your private knowledge repositories.