YamlQL
query yaml files with sql and natural language powered by AI
What it does
YamlQL - Query YAML files with SQL and Natural Language discover – Introspect the structure of any YAML file as a table schema sql – Write your own SQL queries over YAML data ai – Generate SQL queries using LLM (no data is sent; just the schema)
Does a similar job
all alternatives →- NLNatural Language to SQL "Text-to-SQL" API2024 · dataherald.com · ▲62
Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
- DADataherald AI – Natural Language to SQL Engine2023 · github.com · ▲215
Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
- DSDescribe SQL using natural language, and execute against real data2021 · ▲66
I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo
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