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That is only part of the problem; the others include:

1. writing connectors for various sources

2. writing connectors for destination

3. supporting multiple models, embeddings, vector database, text extractors

3. workflow automation engine(cron jobs)

4. performance tuning for speed and costs

5. security and compliance



Totally! The structured extraction from AI is only a small part in the product. Beyond the list above we also built 1. Custom validation that allows end users to validate outputs with their own logic 2. Manage different workflows (monitoring, scaling) and keep track of business logic in processing different data sources.




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