Best LLMs for RAG: Top Open And Closed Source Models

Open-source models have caught up with private ones in terms of performance, particularly for Retrieval Augmented Generation (RAG) tasks. The cost of vector databases can be eliminated with long context RAG, offering a more affordable alternative. Open-source LLMs provide flexibility and customization, allowing organizations to fine-tune models for specific needs. They also offer lower initial and ongoing costs, improved security through greater control over the software, and enhanced compliance. Gemini 1.5 Flash is an excellent balance between performance and cost, achieving great context adherence scores at a fraction of the cost of other models like GPT-4o. By selecting the right model for your use case, enterprises can deliver high value at an affordable budget.