weknora-rag-search

Select weknora CLI commands for knowledge base retrieval and reasoning.

1|Updated Jun 15, 2026

Search Tags:#cli #rag #retrieval #chat #kb #weknora #session-ask

Ready to run

npx skills add https://github.com/Nylirk/WeKnora --skill weknora-rag-search

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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.

Core Features & Use Cases

Decision guidance: helps choose between chat, session ask, and search chunks based on user intent and output needs.
KB-aware retrieval: coordinates with WeKnora to fetch streaming answers, raw chunks, or document metadata as needed.
Use Case: a data team asks a question and gets either a grounded answer, a cause across multiple KBs, or ranked chunks for manual review.

Quick Start

Run a sample query using the weknora rag-search command to retrieve relevant knowledge chunks from a KB.

Frequently Asked Questions about weknora-rag-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I choose the right WeKnora command for knowledge base retrieval?▼

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.

What is the best way to get grounded answers from a WeKnora knowledge base?▼

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.

How do I retrieve raw context chunks across multiple WeKnora knowledge bases?▼

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.

When should I use session ask instead of chat for WeKnora KB queries?▼

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.

Does the WeKnora CLI support scoping rules for multi-KB document retrieval?▼

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.

What are the limitations of using the search chunks command in WeKnora?▼

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.