anythingllm-rag

# 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 bash scripts/anythingllm.sh query "你的问题" ``` ### Upload a file ```bash bash scripts/anythingllm.sh upload /path/to/file.pdf ``` ### Upload raw text ```bash bash scripts/anythingllm.sh upload-text "文本内容" "文档标题" ``` ### List documents ```bash bash scripts/anythingllm.sh list-docs ``` ### Check API health ```bash 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