leann-search
Semantic search across codebase using LEANN vector index
它会碰到什么
扫了多少1 个文本文件,2 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
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这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
LEANN Semantic Search
Use LEANN for meaning-based code search instead of grep.
When to Use
- Conceptual queries: "how does authentication work", "where are errors handled"
- Understanding patterns: "streaming implementation", "provider architecture"
- Finding related code: code that's semantically similar but uses different terms
When NOT to Use
- Exact matches: Use Grep for
class Foo,def bar, specific identifiers - Regex patterns: Use Grep for
error.handling,import.from - File paths: Use Glob for
.test.ts,src/*/*.py
Commands
# Search the current project's index
leann search <index-name> "<query>" --top-k 5
# List available indexes
leann list
# Example
leann search rigg "how do providers handle streaming" --top-k 5
MCP Tool (in Claude Code)
leann_search(index_name="rigg", query="your semantic query", top_k=5)
Rebuilding the Index
When codebase changes significantly:
cd /path/to/project
leann build <project-name> --docs src tests scripts \
--file-types '.ts,.py,.md,.json' \
--no-recompute --no-compact \
--embedding-mode sentence-transformers \
--embedding-model all-MiniLM-L6-v2
How It Works
- LEANN uses sentence embeddings to understand meaning
- Searches find conceptually similar code, not just text matches
- Results ranked by semantic similarity score (0-1)
Grep vs LEANN Decision
| Query Type | Tool | Example |
|------------|------|---------|
| Natural language | LEANN | "how does caching work" |
| Class/function name | Grep | "class CacheManager" |
| Pattern matching | Grep | error\|warning |
| Find implementations | LEANN | "rate limiting logic" |
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原文件路径
.claude/skills/archive/leann-search/SKILL.md