Stop Searching.
Start Asking.
Turn your secure document library into an intelligent assistant. Find the exact answer you need instantly, with every fact backed by a direct citation. Complete data sovereignty, zero compromises.
What were the key findings in the Q4 report?
Based on the Q4 report, here are the key findings:
- Revenue increased 23% YoY to $4.2M
- Customer retention rate improved to 94%
- New enterprise contracts: 12 signed
Three agents. One mission.
Core Architecture
Tri-Agent Architecture
Three specialized agents — Librarian, Converser, and Scribe — coordinate through a shared vector store to ingest, retrieve, and learn from your documents autonomously.
Ingest Any Document
PDF, Markdown, plain text — chunked and embedded automatically by the Librarian agent.
Semantic Search
Vector-powered retrieval finds the most relevant passages, not just keyword matches.
Conversational AI
Ask follow-up questions naturally. The Converser maintains context across the full session.
Persistent Memory
The Scribe captures key insights from every conversation, building institutional knowledge.
Enterprise Security
API key auth, UUID filenames, path confinement, JSON-only serialization. Fail-closed by default.
How it works.
Four steps from raw documents to actionable intelligence.
Upload
Drop your PDFs, Markdown files, or plain text into TARA. The Librarian agent chunks and embeds them into a vector store.
Ask
Ask questions in natural language. The Converser agent retrieves the most relevant context from your documents and builds a precise prompt.
Get Answers
Receive accurate, cited responses in real-time. Every answer includes source references so you can verify the information.
Learn
The Scribe agent silently captures key insights from every conversation, building a persistent memory that improves over time.
Built for every industry
Ready to deploy?
document intelligence.
Try TARA free with our interactive demo, or explore pricing for teams and enterprises.