Quarry FAQs

Question 1

How does Quarry integrate with LLMs like Claude Desktop?

Accepted Answer

Quarry functions as an MCP server, allowing LLMs like Claude Desktop and Claude Code direct, local access to your indexed content, empowering them with personalized, context-rich information.

Question 2

What kinds of files can I index with Quarry?

Accepted Answer

Quarry supports a wide array of formats including PDFs (text & image), images, spreadsheets, presentations, HTML, text files, and over 30 programming languages, extracting meaningful data from each.

Question 3

Does Quarry require an internet connection or cloud services?

Accepted Answer

No, Quarry operates fully offline by default, utilizing local OCR and embedding models for privacy and speed. Optional cloud backends can be configured for enhanced OCR or large-scale embedding if desired.

Question 4

What is the benefit of Quarry's semantic search?

Accepted Answer

Quarry's semantic search understands the meaning behind your queries, allowing you to find relevant passages and information even without exact keyword matches, providing much more accurate results than traditional search.

Question 5

What is Quarry and what is its primary purpose?

Accepted Answer

Quarry is a tool that ingests diverse local content (files, code, documents) into a vector database, enabling powerful semantic search and providing rich context to Large Language Models (LLMs).

Quarry

Quarry

Key Features

Use Cases

Key Features

Use Cases