Enables AI clients to search a personal corpus, read relevant source passages, and answer questions with traceable evidence from imported sessions, notes, and articles.
Enables language models to verify claims against a local document corpus by returning a literal supporting quote, a contradiction, or an explicit refusal when evidence is insufficient. Runs deterministically offline over local sources without network access or LLM calls.
Enables coding agents to analyze a repository evidence-first, answering questions as verifiable claims with source evidence, targeted test observations, and reference resolution.
Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.
Enables traceable research workflows by searching uploaded sources, verifying citations, routing uncertain or high-risk requests to human review, and streaming answers with an audit trail.