Parquet FAQs

Question 1

What is Parquet and what does it do?

Accepted Answer

Parquet is a dual-component system for efficiently querying and managing Parquet files. It features a Spring Boot MCP server for file discovery and a Python CLI client that uses OpenAI for natural language queries.

Question 2

How does Parquet enable natural language querying?

Accepted Answer

The Python CLI client integrates with OpenAI's language models. Users can input natural language questions, which the client translates into queries that are then executed against Parquet files via DuckDB.

Question 3

What key technologies are integrated into Parquet?

Accepted Answer

Parquet leverages a Spring Boot server, a Python CLI client, OpenAI for AI-powered natural language processing, and DuckDB for efficient access, querying, and summarization of Parquet files.

Question 4

Does Parquet support monitoring of file changes?

Accepted Answer

Yes, Parquet includes real-time monitoring capabilities to detect and react to changes (creation, modification, deletion) in the Parquet files within your configured directories, ensuring data freshness.

Question 5

Are there specific prerequisites to run Parquet?

Accepted Answer

To run Parquet, you'll need Java 21+, Python 3.11+, and an OpenAI API key. The server and client configurations are flexible to tailor operations to your environment.

Parquet

Parquet

Key Features

Use Cases

Key Features

Use Cases