GNO - Local Knowledge Engine
Fast local semantic search. Index once, search instantly. No cloud, no API keys.
When to Use This Skill
- User asks to search files, documents, or notes
- User wants to find information in local folders
- User needs to index a directory for searching
- User mentions PDFs, markdown, Word docs, code to search
- User asks about knowledge base or RAG setup
- User wants semantic/vector search over their files
- User needs to set up MCP for document access
- User wants a web UI to browse/search documents
- User asks to get AI answers from their documents
- User wants to tag, categorize, or filter documents
- User asks about backlinks, wiki links, or related notes
- User wants to visualize document connections or see a knowledge graph
- User wants to export a note or collection for gno.sh publishing
Quick Start
gno init # Initialize in current directory
gno collection add ~/docs --name docs # Add folder to index
gno index # Build index (ingest + embed)
gno search "your query" # BM25 keyword search
Command Overview
| Category | Commands | Description |
|---|---|---|
| Search | search, vsearch, query, ask | Find documents by keywords, meaning, or get AI answers |
| Links | links, backlinks, similar, graph | Navigate document relationships and visualize connections |
| Retrieve | get, multi-get, ls | Fetch document content by URI or ID |
| Index | init, collection add/list/remove, index, update, embed | Set up and maintain document index |
| Tags | tags, tags add, tags rm | Organize and filter documents |
| Context | context add/list/rm/check | Add hints to improve search relevance |
| Models | models list/use/pull/clear/path | Manage local AI models |
| Serve | serve | Web UI for browsing and searching |
| Publish | publish export | Export gno.sh publish artifacts |
| MCP | mcp, mcp install/uninstall/status | AI assistant integration |
| Skill | skill install/uninstall/show/paths | Install skill for AI agents |
| Admin | status, doctor, cleanup, reset, vec, completion | Maintenance and diagnostics |
Search Modes
| Command | Speed | Best For |
|---|---|---|
gno search | instant | Exact keyword matching |
gno vsearch | ~0.5s | Finding similar concepts |
gno query --fast | ~0.7s | Quick lookups |
gno query | ~2-3s | Balanced (default) |
gno query --thorough | ~5-8s | Best recall, complex queries |
gno ask --answer | ~3-5s | AI-generated answer with citations |
Retry strategy: Use default first. If no results: rephrase query, then try --thorough.
Common Flags (search/vsearch/query/ask)
-n <num> Max results (default: 5)
-c, --collection Filter to collection
--tags-any <t1,t2> Has ANY of these tags
--tags-all <t1,t2> Has ALL of these tags
--since <date> Modified after date (ISO: 2026-03-01)
--until <date> Modified before date (ISO: 2026-03-31)
--exclude <terms> Exclude docs containing any term (comma-separated)
--intent <text> Disambiguate ambiguous queries (e.g. "python" = language not snake)
--json JSON output
--files URI list output
--line-numbers Include line numbers
Advanced: Structured Query Modes (query/ask only)
Use --query-mode to combine multiple retrieval strategies in one query (repeatable):
# Combine keyword + hypothetical document
gno query "API rate limiting" \
--query-mode "term:rate limit" \
--query-mode "hyde:how to implement request throttling"
# Add intent steering
gno query "python" \
--query-mode "term:python" \
--query-mode "intent:programming language"
Modes: term:<text> (keyword), intent:<text> (disambiguation), hyde:<text> (hypothetical doc for semantic matching). Max one hyde per query.
Document Retrieval
# Full document by URI
gno get gno://work/readme.md
# By document ID
gno get "#a1b2c3d4"
# Specific line range: --from <start> -l <count>
gno get gno://work/report.md --from 100 -l 20
# With line numbers
gno get gno://work/report.md --line-numbers
# JSON output with capabilities metadata
gno get gno://work/report.md --json
# Multiple documents
gno multi-get gno://work/doc1.md gno://work/doc2.md
Editable vs read-only: gno get --json returns a capabilities field showing whether a document is editable at its source. Markdown and plain text files are editable in place. Converted documents (PDF, DOCX, XLSX) are read-only -- to edit their content, create a new markdown note instead of overwriting the binary source.
Search Then Get (common pipeline)
# Search, get full content of top result
gno query "auth" --json | jq -r '.results[0].uri' | xargs gno get
# Get all results
gno search "error handling" --json | jq -r '.results[].uri' | xargs gno multi-get
Document Links & Similarity
# Outgoing links from a document
gno links gno://notes/readme.md
# Find documents linking TO a document (backlinks)
gno backlinks gno://notes/api-design.md
# Find semantically similar documents
gno similar gno://notes/auth.md
# Similar across all collections (not just same collection)
gno similar gno://notes/auth.md --cross-collection
# Stricter threshold (default: 0.7)
gno similar gno://notes/auth.md --threshold 0.85
# Knowledge graph
gno graph --json
gno graph -c notes --similar # Include similarity edges
Global Flags
--index <name> Alternate index (default: "default")
--config <path> Override config file
--verbose Verbose logging
--json JSON output
--yes Non-interactive mode
--offline Use cached models only
--no-color Disable colors
--no-pager Disable paging
Important: Embedding After Changes
If you edit/create files that should be searchable via vector search:
gno index # Full re-index (sync + embed)
# or
gno embed # Embed only (if already synced)
gno embed travel # Embed one collection only
# or
gno embed --collection travel
MCP gno.sync and gno.capture do NOT auto-embed. Use CLI for embedding.
Collection-specific embedding models
Collections can override the global embedding model with models.embed.
CLI path:
gno collection add ~/work/gno/src \
--name gno-code \
--embed-model "hf:Qwen/Qwen3-Embedding-0.6B-GGUF/Qwen3-Embedding-0.6B-Q8_0.gguf"
Good default guidance:
- keep the global preset for mixed notes/docs collections
- use a collection-specific embed override for code-heavy collections when benchmark guidance says so
- after changing an embed model on an existing populated collection, run:
gno embed --collection gno-code
If you want to remove old vectors after switching:
gno collection clear-embeddings gno-code # stale models only
gno collection clear-embeddings gno-code --all # remove everything, then re-embed
MCP-equivalent write tool:
gno_clear_collection_embeddings
Reference Documentation
| Topic | File |
|---|---|
| Complete CLI reference (all commands, options, flags) | cli-reference.md |
| MCP server setup and tools | mcp-reference.md |
| Usage examples and patterns | examples.md |