knowledge-retriever

To search a large knowledge base for specific keywords, use a CLI command to match terms across indexed knowledge points. The tool ranks matching entries by relevance to deliver the top results for your topic.

Yes, domain filtering is supported to narrow knowledge base search results. You can apply domain constraints alongside keyword matching to isolate relevant knowledge points and rank them by relevance.

You can build a file index for fast knowledge retrieval by running the build-index CLI command. This Python-based process creates a searchable index across 1M+ entries to enable quick discovery and ranked results.

The best way to get insights from a knowledge base is using the stats CLI command. It generates knowledge point statistics, providing quick insights into the indexed data without requiring a full keyword search.

Yes, knowledge-retriever is designed for large-scale knowledge bases containing 1M+ entries. It applies fast discovery, domain filtering, and keyword matching to quickly locate relevant points across vast datasets.

The available CLI commands include search, stats, and build-index. You can run search with a topic string to view top matching points, use stats for insights, or run build-index to create the file index.