Use Generative AI to Fill Holes in Your Schema
Missing metadata shouldn’t leave extremely valuable data unused. Based on user prompts, UnifyAI extracts and generates metadata fields to simplify knowledge retrieval from unstructured text data.
Built for Unstructured Data:
- Test UnifyAI for Free
Run Sample Prompts on Our Web Demo
We've built an interactive demo for you to see the magic first-hand, and are inviting the data community to give us feedback to help shape the tech.
- How to access the web demo:
- Existing users can log in to Portal, then access the "Playground" under the UnifyAI header in the lefthand menu. New users can sign up for free.
- Example Use Cases
Accelerate Data Structuring with LLM's
Closed Metadata Gaps
By filling in missing metadata, UnifyAI guarantees completeness and correctness in data representation.
Consistency Across Documents
Ensure coherence by standardizing metadata fields across various documents.
Precise Metadata Generation
UnifyAI effortlessly creates metadata fields, adding valuable context to every piece of data.
Integration with No Fuss
As a component within Datastreamer, UnifyAI seamlessly integrates into your workflows with automated pipelines.
Examples of Schema Enrichment:
Organize Product Categories
Unstructured Data: Social Media & News Data Streams
To better understand consumer trends, a customer may want to break down mentioned products by category. UnifyAI can extract and classify products by generating metadata fields with categories, organizing data with retail-centric insights.
Extract Deadlines from Documents
Unstructured Data: Documents
Documents contain key information like deadlines and policy numbers. A user can define the schema of their desired fields and UnifyAI will build a complete, searchable document metadata.
Find Stock Tickers of Companies
Unstructured Data: News Articles, Forums, Market Datasets
A user may want to see stock tickers or other identifiers for companies mentioned in articles, forums, or sanctions models. UnifyAI can generate those fields using its pre-trained technology.
- Step 1
Unify Your Unstructured Data
With automated ingestion & schema standardization, Datastreamer helps you unify data from multiple sources into a standardized JSON output that is ready for analysis, NLP enrichments, or LLM’s.
External Data: Integrate external data suppliers in minutes with our managed connectors.
Documents: PDFs, CSVs, or any text data can be unified with our robust pipelines.
- Step 2
Design Schema & Set Prompts
Design prompts in plain English, and UnifyAI will dynamically generate metadata fields. This provides a customizable approach to extracting relevant information from unstructured data.
We’re here to help: Tell us about your use case and our experts can help you with schema design and prompt engineering, feeding results to your pipelines as a turnkey solution.
- Step 3
Let UnifyAI Work Its Magic
UnifyAI outputs an organized document structure enriched with the requested metadata fields – which facilitates analysis and adds new insights to the data.
Relevant Metadata: Built for large scale pipelines, so results include necessary metadata fields without extra “fluff”.
Data Consistency: Results match your designed schema to ensure consistency and completeness across documents.