GNO - Moteur de Connaissance Local

VérifiéSûr

Moteur de recherche sémantique local pour indexer et interroger documents, fichiers et notes sans cloud. Supporte BM25, recherche vectorielle hybride et génération de réponses avec citations.

Spar Skills Guide Bot
ProductiviteIntermédiaire
4002/06/2026
Claude Code
#local-search#document-indexing#semantic-search#knowledge-base

Recommandé pour

Notre avis

Recherche dans des documents locaux et des bases de connaissances en utilisant la recherche BM25, la similarité vectorielle et des méthodes hybrides, avec possibilité de réponses générées par IA.

Points forts

  • Recherche locale rapide sans dépendance au cloud.
  • Prend en charge plusieurs formats de fichiers dont PDF et Markdown.
  • Offre plusieurs modes de recherche allant du mot-clé au sémantique.
  • Peut fournir des réponses IA avec citations.

Limites

  • Nécessite une indexation initiale qui peut être longue pour de grands ensembles de documents.
  • Les réponses IA dépendent de modèles locaux qui peuvent être moins puissants que les modèles cloud.
  • Limité aux fichiers sur la machine locale.
Quand l'utiliser

Utilisez cette compétence lorsque vous avez besoin de trouver rapidement des informations dans une collection de documents locaux, de notes ou de fichiers de code.

Quand l'éviter

N'utilisez pas cette compétence si vous avez besoin de rechercher dans des documents distants ou dans le cloud, ou si une indexation en temps réel de fichiers changeant constamment est nécessaire.

Analyse de sécurité

Sûr
Score qualité92/100

The skill restricts Bash to only commands prefixed with 'gno', which is a local search tool. It does not instruct destructive actions, external data exfiltration, or disabling safety features. The tool operates locally without requiring cloud services or API keys, and no obfuscated or harmful commands are present.

Aucun point d'attention détecté

Exemples

Search local notes for a topic
Search my ~/notes folder for anything related to machine learning.
Index and search project docs
I need to set up a searchable index of all PDFs in ./documents, then find anything about neural networks.
Ask an AI question from documents
What are the key findings from the Q3 report? Use my indexed documents to answer and provide citations.

name: gno description: Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs. allowed-tools: Bash(gno:*) Read

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

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 | | 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 | | 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, 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

-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
--json                JSON output
--files               URI list output
--line-numbers        Include line numbers

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

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 |

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