Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive

📜 Detailed n8n Workflow Description Main Flow The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Message Trigger: The When chat message received node triggers whenever a user message arrives and passes it directly to the Knowledge Agent for processing. Agent Orchestration: The Knowledge Agent serves as the central orchestrator, registering a comprehensive toolkit of capabilities: LLM Processing: Uses Anthropic Chat Model with the claude-sonnet-4-20250514 model to craft final responses Memory Management: Implements Postgres Chat Memory to save and recall conversation context across sessions Reasoning Engine: Incorporate

Help me set up the n8n workflow "Build an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive" (https://n8n.io/workflows/6542). It uses: Google Drive, AI Agent, Embeddings OpenAI, Anthropic Chat Model, Recursive Character Text Splitter, Call n8n Workflow Tool, Supabase Vector Store, Default Data Loader, OpenAI, Postgres Chat Memory, Think Tool, MCP Client Tool, Reranker Cohere. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.