Hey Product Hunt! 👋 When you ask a question about a document, the relevant information isn’t always contained in one passage. A retrieved section might mention a rule, while the explanation appears just before it—or an important exception continues on the next page. Holoora’s Cortex Agents help put that context together before your chosen AI model answers. 🧠 Arbiter — brings missing context into the picture Sometimes a retrieved passage tells only part of the story. The explanation might start in an earlier section, or an important detail might continue on the next page. Arbiter checks whether the retrieved information is enough to answer your question. If context is missing, it can pull in additional passages from those same sources—including earlier or later sections—to help your AI model answer with the details it needs. ✂️ Pruner — removes what doesn’t help A retrieved passage may contain useful details alongside unrelated text. Pruner removes the lines that don’t contribute to your question while keeping the relevant text in its original wording. Together, these agents help address two retrieval problems: missing context and unnecessary noise. Holoora handles this automatically, with zero code or complex setup. You can also inspect the source references behind each answer. We’re now in beta and would love to hear how Holoora works with your documents. Try a question whose answer spans multiple sections, then tell us whether the answer brought together the context you needed.

Next Generation Agentic RAG

Cortex Agents filter out noise and recover missing context.

Cortex Agents filter out noise and recover missing context.