Learn From Your Documents. Explore Through Your Notebooks.
Calliope turns your internal knowledge into dynamic, governed, retrievable intelligence — ready to power agents, apps, and automation.
Your documents, datasets, and wikis contain answers.
But static files don’t teach, adapt, or scale — they rot. Calliope changes that.
Ingest your internal knowledge. Transform it into structured, retrievable intelligence. Query it live through notebooks, chatflows, or agents. Build workflows that learn as fast as your organization does.
If you’re stuck with:
You’re leaving critical knowledge locked behind complexity.
Disconnected documents and datasets no one can search reliably
Rebuilding analysis every time a new report or API lands
Static wikis that fall behind product evolution
No way to ask questions and get structured answers dynamically
CALLIOPE AI
Calliope lets you ingest, structure, govern, and explore your internal knowledge — dynamically and safely.
- Auto-ingest internal documentation, papers, reports, wiki articles, and structured datasets
- Vectorize and enrich content automatically for smarter retrieval
- Query knowledge bases directly from inside Jupyter, VSCode, or Colab notebooks — using natural language
- Embed dynamic retrieval into agents, apps, chatflows, or research workflows
Features
Learn Smarter From Your Data and Docs
- Automate parsing, chunking, vectorization, and semantic enrichment across multiple data types
- Build governed retrieval pipelines scoped by dataset, namespace, project, or user role
- Dynamically update indexes, context retrieval logic, and embedding strategies over time
Explore Inside Notebooks and Chatflows
- Native notebook chat integration: query datasets, documents, or wikis conversationally
- Live retrieval agents embedded inside experimental workflows
- Retrieve, visualize, and reason about knowledge without leaving your build environment
Calliope doesn’t just store your knowledge.
It learns from it — and gives you structured, dynamic access to it — everywhere you work.