Docsearch FAQs

Question 1

What is Docsearch?

Accepted Answer

Docsearch is a local-first, hybrid semantic and keyword search system designed to index various document types and Confluence pages. It provides powerful, intelligent search capabilities, especially for integration with AI assistants.

Question 2

What types of content can Docsearch index?

Accepted Answer

Docsearch indexes a wide range of content, including local files (code, documents, PDFs), images (with AI-powered descriptions), and content from Confluence spaces. It supports real-time updates for local file changes.

Question 3

How does Docsearch leverage AI?

Accepted Answer

Docsearch utilizes AI for hybrid search, combining full-text with vector similarity for optimal results. It also features AI-powered image search to generate descriptions for visual content like diagrams and screenshots, making them searchable. It seamlessly integrates with AI assistants via MCP.

Question 4

Is Docsearch a local-first solution?

Accepted Answer

Yes, Docsearch is designed as a local-first system, meaning your data processing and indexing primarily occur on your machine. This ensures enhanced privacy and security, keeping your sensitive information under your control.

Question 5

How does Docsearch integrate with AI assistants and other tools?

Accepted Answer

Docsearch integrates seamlessly with AI assistants like Claude Code and other compatible tools through the Model Context Protocol (MCP). This allows AI assistants to access your indexed documentation, codebase, and research materials for richer, more contextual responses.

Docsearch

Docsearch

Key Features

Use Cases

Key Features

Use Cases