This is one of the more honest takes on RAG, especially the distinction between “easy RAG” and "reliable RAG". That’s actually the problem we’ve been focused on at Dawn: building a layer that continuously structures and updates real-world data so it can be reliably used inside AI workflows like RAG systems.
This is one of the more honest takes on RAG, especially the distinction between “easy RAG” and "reliable RAG". That’s actually the problem we’ve been focused on at Dawn: building a layer that continuously structures and updates real-world data so it can be reliably used inside AI workflows like RAG systems.
Pricing not suitable for Indian audience