# QMD (Query Markup Documents)

## Docs

- [Hybrid Search Pipeline](https://mintlify.wiki/tobi/qmd/architecture/hybrid-search.md): Query expansion, RRF fusion, and reranking in QMD
- [Indexing Flow](https://mintlify.wiki/tobi/qmd/architecture/indexing.md): How QMD indexes documents and builds search indexes
- [Architecture Overview](https://mintlify.wiki/tobi/qmd/architecture/overview.md): High-level architecture of QMD hybrid search engine
- [Score Fusion & Normalization](https://mintlify.wiki/tobi/qmd/architecture/score-fusion.md): Score normalization, RRF fusion, and position-aware blending
- [Smart Chunking](https://mintlify.wiki/tobi/qmd/architecture/smart-chunking.md): Chunking algorithm with break point scoring and code fence protection
- [qmd cleanup](https://mintlify.wiki/tobi/qmd/cli/cleanup.md): Clean up the index and reclaim disk space
- [qmd collection](https://mintlify.wiki/tobi/qmd/cli/collection.md): Manage indexed collections of documents
- [qmd context](https://mintlify.wiki/tobi/qmd/cli/context.md): Attach human-written context to collections and paths
- [qmd embed](https://mintlify.wiki/tobi/qmd/cli/embed.md): Generate vector embeddings for semantic search
- [Filtering Options](https://mintlify.wiki/tobi/qmd/cli/filtering.md): Control search scope with collection filters, result limits, and score thresholds
- [qmd get](https://mintlify.wiki/tobi/qmd/cli/get.md): Retrieve a single document by path or docid
- [qmd ls](https://mintlify.wiki/tobi/qmd/cli/ls.md): List collections or files within a collection
- [qmd mcp](https://mintlify.wiki/tobi/qmd/cli/mcp.md): Start the Model Context Protocol server for AI agents
- [qmd multi-get](https://mintlify.wiki/tobi/qmd/cli/multi-get.md): Retrieve multiple documents by glob pattern or list
- [Output Formats](https://mintlify.wiki/tobi/qmd/cli/output-formats.md): Reference for all QMD output format options (--json, --csv, --md, --xml, --files)
- [qmd query](https://mintlify.wiki/tobi/qmd/cli/query.md): Hybrid search with query expansion and reranking (recommended)
- [qmd search](https://mintlify.wiki/tobi/qmd/cli/search.md): BM25 full-text keyword search (no LLM)
- [qmd status](https://mintlify.wiki/tobi/qmd/cli/status.md): Show index health and collection statistics
- [qmd update](https://mintlify.wiki/tobi/qmd/cli/update.md): Re-index all collections and refresh content
- [qmd vsearch](https://mintlify.wiki/tobi/qmd/cli/vsearch.md): Vector semantic search with embeddings
- [Collections](https://mintlify.wiki/tobi/qmd/concepts/collections.md): Understanding how QMD organizes and indexes your documents
- [Context Management](https://mintlify.wiki/tobi/qmd/concepts/context.md): Add hierarchical metadata to improve search quality and LLM understanding
- [Vector Embeddings](https://mintlify.wiki/tobi/qmd/concepts/embeddings.md): How QMD generates and uses embeddings for semantic search
- [Query Syntax](https://mintlify.wiki/tobi/qmd/concepts/query-syntax.md): Advanced query document format with typed sub-queries
- [Search Modes](https://mintlify.wiki/tobi/qmd/concepts/search-modes.md): Understanding QMD's three search modes and when to use each
- [AI Agents](https://mintlify.wiki/tobi/qmd/guides/ai-agents.md): Integrating QMD with AI agents and LLM workflows
- [Collection Management](https://mintlify.wiki/tobi/qmd/guides/collection-management.md): Managing indexed directories, filtering, and update commands
- [Document Retrieval](https://mintlify.wiki/tobi/qmd/guides/document-retrieval.md): Using get/multi-get, docids, and glob patterns to retrieve documents
- [MCP Server](https://mintlify.wiki/tobi/qmd/guides/mcp-server.md): Setting up the Model Context Protocol server for Claude and other MCP clients
- [Searching](https://mintlify.wiki/tobi/qmd/guides/searching.md): How to search effectively, understanding scores, and filtering options
- [Installation](https://mintlify.wiki/tobi/qmd/installation.md): Install QMD and download the required GGUF models for local search
- [Introduction](https://mintlify.wiki/tobi/qmd/introduction.md): On-device hybrid search for your markdown files with BM25, vector search, and LLM reranking
- [Claude Code](https://mintlify.wiki/tobi/qmd/mcp/claude-code.md): Configure QMD MCP server for Claude Code CLI and editor
- [Claude Desktop](https://mintlify.wiki/tobi/qmd/mcp/claude-desktop.md): Configure QMD MCP server for Claude Desktop
- [get Tool](https://mintlify.wiki/tobi/qmd/mcp/get.md): Retrieve a single document by path or docid
- [HTTP Transport](https://mintlify.wiki/tobi/qmd/mcp/http-transport.md): Run QMD MCP server as a persistent HTTP daemon
- [multi_get Tool](https://mintlify.wiki/tobi/qmd/mcp/multi-get.md): Retrieve multiple documents by glob pattern or list
- [MCP Overview](https://mintlify.wiki/tobi/qmd/mcp/overview.md): Learn how QMD exposes search and retrieval tools via the Model Context Protocol
- [query Tool](https://mintlify.wiki/tobi/qmd/mcp/query.md): Multi-strategy search with typed sub-queries (lex/vec/hyde)
- [status Tool](https://mintlify.wiki/tobi/qmd/mcp/status.md): Check QMD index status and collection health
- [Quick Start](https://mintlify.wiki/tobi/qmd/quickstart.md): Get your first QMD search working in 5 minutes

## OpenAPI Specs

- [openapi](https://mintlify.wiki/tobi/qmd/api-reference/openapi.json)