F
licenseNot graded
qualityD
maintenanceEnables semantic search over personal files using natural language, with optional AI summarization, all running locally.
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Local RAG
by shinpr
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TDQS
A4.2/5.0
Scored across 9 tools
Disambiguation5/5
Each tool targets a distinct operation: ingestion, querying, neighbor context, deletion, listing, status, and sync lifecycle. The only similar pair, ingest_data and ingest_file, is clearly differentiated by input type (string vs. file path), and sync_start versus sync_status cleanly separates starting from monitoring.
Naming Consistency4/5
Most names follow a consistent verb_noun pattern in snake_case: query_documents, delete_file, ingest_data, ingest_file, list_files, read_chunk_neighbors, sync_start, sync_status. The single 'status' tool breaks the pattern by being a bare noun rather than get_status or similar, which is a minor inconsistency.
Tool Count5/5
Nine tools is well within the ideal range for a focused local RAG server. Each tool covers a meaningful, non-redundant capability—ingest, query, delete, list, context expansion, status, and sync—without bloat or excessive granularity.
Completeness4/5
The server covers the core RAG lifecycle: ingestion (file and data), retrieval, context expansion, deletion, listing, status, and filesystem reconciliation. A minor gap is that there is no direct way to fetch a document's chunks by filePath without first obtaining a chunkIndex from query_documents, but this is workable through existing tools.
Maintenance
ActivityActive
ResponsivenessResponsive