Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.
Scanned 2/12/2026
Install via CLI
Skills Directoryopenskills install shinpr/mcp-local-rag---
name: mcp-local-rag
description: Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.
---
# MCP Local RAG Skills
## Tools
| Tool | Use When |
|------|----------|
| `ingest_file` | Local files (PDF, DOCX, TXT, MD) |
| `ingest_data` | Raw content (HTML, text) with source URL |
| `query_documents` | Semantic + keyword hybrid search |
| `delete_file` / `list_files` / `status` | Management |
## Search: Core Rules
Hybrid search combines vector (semantic) and keyword (BM25).
### Score Interpretation
Lower = better match. Use this to filter noise.
| Score | Action |
|-------|--------|
| < 0.3 | Use directly |
| 0.3-0.5 | Include if mentions same concept/entity |
| > 0.5 | Skip unless no better results |
### Limit Selection
| Intent | Limit |
|--------|-------|
| Specific answer (function, error) | 5 |
| General understanding | 10 |
| Comprehensive survey | 20 |
### Query Formulation
| Situation | Why Transform | Action |
|-----------|---------------|--------|
| Specific term mentioned | Keyword search needs exact match | KEEP term |
| Vague query | Vector search needs semantic signal | ADD context |
| Error stack or code block | Long text dilutes relevance | EXTRACT core keywords |
| Multiple distinct topics | Single query conflates results | SPLIT queries |
| Few/poor results | Term mismatch | EXPAND (see below) |
### Query Expansion
When results are few or all score > 0.5, expand query terms:
- Keep original term first, add 2-4 variants
- Types: synonyms, abbreviations, related terms, word forms
- Example: `"config"` → `"config configuration settings configure"`
Avoid over-expansion (causes topic drift).
### Result Selection
When to include vs skip—based on answer quality, not just score.
**INCLUDE** if:
- Directly answers the question
- Provides necessary context
- Score < 0.5
**SKIP** if:
- Same keyword, unrelated context
- Score > 0.7
- Mentions term without explanation
## Ingestion
### ingest_file
```
ingest_file({ filePath: "/absolute/path/to/document.pdf" })
```
### ingest_data
```
ingest_data({
content: "<html>...</html>",
metadata: { source: "https://example.com/page", format: "html" }
})
```
**Format selection** — match the data you have:
- HTML string → `format: "html"`
- Markdown string → `format: "markdown"`
- Other → `format: "text"`
**Source format:**
- Web page → Use URL: `https://example.com/page`
- Other content → Use scheme: `{type}://{date}` or `{type}://{date}/{detail}`
- Examples: `clipboard://2024-12-30`, `chat://2024-12-30/project-discussion`
**HTML source options:**
- Static page → LLM fetch
- SPA/JS-rendered → Browser MCP
- Auth required → Manual paste
Re-ingest same source to update. Use same source in `delete_file` to remove.
## References
For edge cases and examples:
- [html-ingestion.md](references/html-ingestion.md) - URL normalization, SPA handling
- [query-optimization.md](references/query-optimization.md) - Query patterns by intent
- [result-refinement.md](references/result-refinement.md) - Contradiction resolution, chunking
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