Promptbook FAQs

Question 1

How does Promptbook find prompts by meaning?

Accepted Answer

Promptbook leverages RAG-powered semantic search. This advanced method allows you to query your prompt library by the meaning or intent of your request, ensuring you find the most relevant prompts even if they don't contain exact keywords.

Question 2

Does Promptbook organize my prompts automatically?

Accepted Answer

Yes, Promptbook can automatically process your AI session files. It categorizes prompts into predefined groups (e.g., refactoring, testing, debugging) and indexes them, building an organized and searchable personal knowledge base for you.

Question 3

Who can benefit from using Promptbook?

Accepted Answer

It's ideal for developers who frequently use AI coding assistants (like GitHub Copilot, Claude) and need an efficient way to manage, reuse, and quickly retrieve their valuable prompts by meaning or intent, rather than just keywords.

Question 4

What is Promptbook MCP?

Accepted Answer

Promptbook MCP is a plug-and-play server designed for developers to store, automatically organize, and semantically search their personal library of AI prompts using RAG (Retrieval-Augmented Generation). It's accessible via the Model Context Protocol (MCP).

Question 5

What is the Model Context Protocol (MCP) in relation to Promptbook?

Accepted Answer

MCP is an open standard that enables Promptbook to integrate seamlessly with various AI clients, such as Claude Desktop. This allows you to access Promptbook's full suite of prompt management and semantic search tools directly from your preferred AI development environment.

Promptbook

Promptbook

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례