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Published : Apr 03, 2024
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Apr 2024
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Text to SQL is a technique that converts natural language queries into SQL queries that can be executed by a database. Although large language models (LLMs) can understand and transform natural language, creating accurate SQL for your own schema can be challenging. Enter Vanna, an open-source Python retrieval-augmented generation (RAG) framework for SQL generation. Vanna works in two steps: first you create embeddings with the data definition language statements (DDLs) and sample SQLs for your schema, and then you ask questions in natural language. Although Vanna can work with any LLMs, we encourage you to assess NSQL, a domain-specific LLM for text-to-SQL tasks.

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