AnythingLLM RAG Skill

Query local/private documents through AnythingLLM's RAG API.

Configuration

Environment variables (set in TOOLS.md or shell):

• ANYTHINGLLM_URL — default http://localhost:3001
• ANYTHINGLLM_API_KEY — API token
• ANYTHINGLLM_WORKSPACE — default workspace slug

Script location: scripts/anythingllm.sh

When to Use

Use AnythingLLM RAG when:

• User asks about their local/private documents
• User wants to search uploaded PDFs, DOCX, TXT files
• User asks "what does X document say about Y"
• User wants to upload documents to the knowledge base

Use default model when:

• General knowledge questions
• Questions not related to local documents
• Coding, writing, analysis without document context

Commands

Query documents (RAG)

bash scripts/anythingllm.sh query "你的问题"

Upload a file

bash scripts/anythingllm.sh upload /path/to/file.pdf

Upload raw text

bash scripts/anythingllm.sh upload-text "文本内容" "文档标题"

List documents

bash scripts/anythingllm.sh list-docs

Check API health

bash scripts/anythingllm.sh health

Response Format

Query returns JSON with:

• textResponse — the RAG-generated answer
• sources — array of source documents used for context

Present the answer to the user, citing relevant sources when available.

Notes

• Scripts are in the skill's scripts/ directory — use paths relative to skill location
• API key and workspace are pre-configured
• For PDF/DOCX queries, documents must be uploaded first