Select weknora CLI commands for knowledge base retrieval and reasoning.
npx skills add https://github.com/Nylirk/WeKnora --skill weknora-rag-search
Please help me install this Agent Skill. Skill: weknora-rag-search Source: https://github.com/Nylirk/WeKnora/tree/main/cli/skills/weknora-rag-search Command: npx skills add https://github.com/Nylirk/WeKnora --skill weknora-rag-search
This skill guides users in retrieving from a WeKnora KB by selecting the correct CLI command (chat, session ask, or search chunks) to fit the goal, ensuring correct data retrieval and grounding.
Run a sample query using the weknora rag-search command to retrieve relevant knowledge chunks from a KB.
High-intent search queries and answers about installing and using this skill.
To choose the right WeKnora command for knowledge base retrieval, select chat for natural-language answers, session ask for agent workflows, or search chunks for raw context retrieval across documents.
The best way to get grounded answers from a WeKnora knowledge base is using the chat command, which fetches streaming responses with references to ensure your natural-language questions are properly grounded in the stored documents.
To retrieve raw context chunks across multiple WeKnora knowledge bases, use the search chunks command, which returns ranked document chunks and metadata for manual review without generating a synthesized answer.
You should use session ask instead of chat for WeKnora KB queries when managing agent-driven workflows that require continuous session management, streaming references, and specific KB scoping rules across multiple interactions.
Yes, the WeKnora CLI supports scoping rules for multi-KB document retrieval, enforcing specific knowledge base boundaries and streaming references when fetching answers or raw chunks across documents.
The limitation of using the search chunks command in WeKnora is that it only retrieves raw ranked chunks and document metadata for manual review, lacking the streaming answer synthesis and reasoning provided by the chat command.
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