We made Trellis – a way to run SQL query on your unstructured data
Hey HN — We're excited to share Trellis — a snowflake for unstructured data. We've built an AI engine that turns unstructured data into structured SQL-format based on the schema you define in natural language. We spent a lot of time building ML infrastructure and realized that most data warehouses and data pipelines are not designed for unstructured data (documents, PDFs, calls). While something like a Vector database and RAG are great at search tasks, they really struggle with aggregation and SQL type queries such as 1. How many emails in the past 6 months contain complaints about the…
What it does
In the maker’s words, at launch
Hey HN — We're excited to share Trellis — a snowflake for unstructured data. We've built an AI engine that turns unstructured data into structured SQL-format based on the schema you define in natural language. We spent a lot of time building ML infrastructure and realized that most data warehouses and data pipelines are not designed for unstructured data (documents, PDFs, calls). While something like a Vector database and RAG are great at search tasks, they really struggle with aggregation and SQL type queries such as 1. How many emails in the past 6 months contain complaints about the product? 2. What are the top 3 features from feature request tickets? Check out the sandbox (no sign-in required) at https://demo.runtrellis.com/ Some interesting results from analyzing Enron email can be found at https://demo.runtrellis.com/showcase/enron-email-analysis You can also run the transformation on a larger amount of data *by signing up here* https://dashboard.runtrellis.com/ We would love to hear your feedback and the different use cases that you come up with.
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