Chirayu-Tripathi/nl2query
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
This project helps data analysts and engineers quickly get insights from their data without writing complex code. You provide it with a simple question in everyday language, along with details about your dataset (like column names for a table or schema for a database), and it translates your question into the correct technical query. This is ideal for anyone working with Pandas DataFrames, MongoDB, Kusto, or Neo4j databases who needs to extract information efficiently.
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Use this if you frequently need to retrieve or analyze data from various database types or Pandas DataFrames using natural language questions instead of writing technical queries from scratch.
Not ideal if you prefer to write all your database queries manually, or if your data exploration needs are so complex that they require highly specialized, hand-tuned query logic.
Stars
92
Forks
8
Language
Python
License
MIT
Category
Last pushed
Apr 28, 2024
Commits (30d)
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