Deep Research on Proprietary Data

Zeta Alpha’s Deep Research Agent can create a research plan, identify all relevant documents in your proprietary databases and on the internet, evaluate the relevance of information, and synthesize all this knowledge into a 4-page report, including paragraph-specific references, tweaked to your specific use case. By distributing tasks across specialized agents, businesses can build intelligent systems that surpass the capabilities of individual AI models, tackling challenges previously deemed too complex for automation.

Conventional RAG often provides incomplete insights, showcasing only a fraction of relevant information. Since RAG only retrieves the top 5 or 10 documents to answer a question, it lacks in completeness for questions such as “Tell me everything about project X” or “Analyze trend Y”, a task perfectly suitable for the Deep Research Agent.