| name | rc-search |
| description | Search claims and sources using natural language queries. Use when looking for related claims or finding existing analysis. |
| license | Apache-2.0 |
| compatibility | opencode |
| metadata | {"project":"realitycheck"} |
Semantic Search
Search claims and sources using natural language queries. Use when looking for related claims or finding existing analysis.
Usage
<query> [--domain DOMAIN] [--limit N]
Search claims and sources using natural language queries.
Usage
rc-db search "query" --limit 10
Note: Semantic search requires embeddings. If search fails with embedding errors:
- Ensure
sentence-transformers is installed (included in realitycheck dependencies)
- Check embedding status:
rc-db embed status or uv run python scripts/embed.py status
- Generate missing embeddings:
rc-db embed generate or uv run python scripts/embed.py generate
- Do not set
REALITYCHECK_EMBED_SKIP=1 unless you explicitly want to disable embeddings (used for CI/testing)
Options
--domain: Filter by domain (TECH/LABOR/ECON/GOV/SOC/RESOURCE/TRANS/GEO/INST/RISK/META)--limit: Maximum results to return (default: 10)--format: Output format - json (default) or text--type: Filter by record type (claim or source)
How It Works
- Convert query to embedding using sentence-transformers
- Find nearest neighbors in the claims/sources vector index
- Return ranked results with similarity scores
Output
Results include:
- Claim/Source ID
- Text (truncated)
- Type, Domain, Evidence Level
- Credence score
- Similarity score
Examples
rc-db search "AI automation labor displacement"
rc-db search "training costs" --domain TECH --limit 5
rc-db search "economic transition" --type claim
Related Skills
