AnythingLLM RAG Skill

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

Configuration

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

• - ANYTHINGLLM_URL — default INLINECODE1
• INLINECODE2 — API token
• INLINECODE3 — default workspace slug

Script location: INLINECODE4

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)

Upload a file

Upload raw text

List documents

Check API health

Response Format

Query returns JSON with:

• - textResponse — the RAG-generated answer
• INLINECODE6 — 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