Quickstart
Get up and running with Bundata in a few steps. You can use the Bundata UI or the API, depending on your workflow.
1. Sign up and access the platform
Create a Bundata account and sign in. From the dashboard you can open Extraction Studio or the Platform to start building pipelines.
- UI: Go to the Platform to upload documents, define schemas, and run extraction.
- API: Use your API key to call the Bundata API for partitioning, enrichment, and embedding. See API Reference.
2. Connect a source (optional)
Connect a data source such as S3, Google Drive, SharePoint, or upload files directly. Bundata supports 35+ connectors so you can pull documents from your existing storage.
- In the UI: Use the source picker in Extraction Studio or Workflows.
- Via API: Use the appropriate ingest or batch endpoints with your source credentials.
3. Define a schema
Define what you want to extract. You can:
- Infer from sample JSON — Provide an example of the output you want; Bundata can suggest a schema.
- Use Schema Studio — Design and edit schemas in the UI with validation and preview.
- Use the API — Create or update schemas programmatically for automation.
Schemas define the structure of your smart bites and extracted fields (e.g. metadata, entities, tables).
4. Run extraction
Run extraction on your documents. Bundata will:
- Partition and optionally chunk the content.
- Extract fields according to your schema.
- Apply enrichments (metadata, NER, image/table descriptions if enabled).
- Output structured, vector-ready smart bites.
In the UI, use Run Extraction in Extraction Studio. Via API, use the batch processing endpoints.
5. Use the output
Send the results to:
- Vector Catalog — Index smart bites for search and RAG.
- Agents — Feed structured context to agentic AI.
- Workflows — Trigger downstream actions or export to your systems.
Next steps
- Partitioning & Chunking — How documents become RAG-optimized chunks.
- Extraction & Enrichment — Metadata, NER, images, and tables.
- API Reference — Full programmatic access.
- Open Source vs Enterprise — When to use production UI/API vs open source.