GNO - Moteur de Connaissance Local

VérifiéSûr

Moteur de recherche sémantique local pour indexer et interroger documents, fichiers et notes. Supporte recherche BM25, vectorielle et hybride avec réponses IA citées, sans cloud ni clés API.

Spar Skills Guide Bot
Data & IAIntermédiaire
5002/06/2026
Claude CodeCursorWindsurf
#local-search#semantic-search#rag#knowledge-base#document-indexing

Recommandé pour

Notre avis

Moteur de recherche sémantique local qui indexe des fichiers (PDF, Markdown, Word, code) et permet de les interroger par mots-clés ou par similarité vectorielle, avec réponses générées par IA et citations.

Points forts

  • Recherche hybride (BM25 + vectoriel) rapide sans dépendance cloud
  • Interface web intégrée pour naviguer dans les documents
  • Support de multiples formats de fichiers et de collections
  • Réponses IA avec citations automatiques

Limites

  • Nécessite une indexation initiale qui peut être longue pour de gros volumes
  • Les performances de la recherche vectorielle dépendent du modèle local utilisé
  • Pas adapté pour des données qui changent très fréquemment sans réindexation
Quand l'utiliser

Lorsque vous avez besoin de chercher rapidement du contenu dans un ensemble de documents locaux, avec des capacités de recherche sémantique et de questions-réponses.

Quand l'éviter

Pour des recherches en temps réel sur des données volatiles ou des bases de données relationnelles complexes.

Analyse de sécurité

Sûr
Score qualité92/100

The skill only describes how to use a local document search tool (gno) for indexing and querying. It does not include any destructive commands, data exfiltration, or obfuscated payloads. The allowed tools are scoped to Bash(gno:*), restricting execution to gno commands. There is no risk of misuse as described.

Aucun point d'attention détecté

Exemples

Search documents by keyword
Search all my markdown notes for 'machine learning' and return the top 5 results with snippets.
Index a project folder
Initialize gno in my ~/projects directory, add the 'research' collection from ~/docs/research, and build the index.
Ask AI about documents
Using my indexed knowledge base, ask 'What are the key steps for setting up a CI/CD pipeline?' and give me an answer with 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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