Ask in plain language. Answer from the source.
Orbit's semantic search and chat is how you put questions to your entire universe at once. Ask in natural language and get an answer drawn from across all the connected data, grounded in primary sources and traceable back to them.
What it does
Search that understands meaning, instead of just keywords.
Because the documents have been converted in vector format, read and structured, search works on what a question means, and chat carries the conversation across sources.
Understanding the questions
Find what you mean across filings, transcripts, disclosures, and news, not just exact-match terms.
Grounded answers
Every response is drawn from primary documents in the Knowledge Base, not generated from model memory.
Cited and auditable
Each answer links back to the exact source passage, so it can be verified and relied on.
Across your data too
Search your internal research and notes alongside Orbit's global corpus, in one query.
How it works
One question, the whole universe.
Semantic search and chat is the everyday surface of the Orbit Research Agent.
Ask a question
Put it in plain language, about a company, a sector, a theme, or your portfolio.
Orbit reads across sources
The agent draws on the structured and document layers and assembles an answer.
Follow the citations
Trace any claim to its source document and confirm it.
Go deeper
Continue the conversation, expand the scope, or hand a recurring question to an agent.
Where it fits
The everyday way into Orbit Insight.
Semantic search and chat is the front door to the Orbit Research Agent, the Ask mode of the platform. When a question is worth running on a schedule, turn it into an agent in the Agent Builder.
Explore the Research Agent
Put a question to everything at once.
See Orbit answer in plain language from primary sources, with citations. Dive deeper while interacting with the source documents.