Ever wonder how you could save on LLM token usage when people ask the same or SEMANTICALLY similar questions? Enter the new Redis Vector store node! This is from a template workflow on n8n’s website: “Stop Paying for the Same Answer Twice Your LLM is answering the same questions over and over. "What's the weather?" "How's the weather today?" "Tell me about the weather." Same answer, three API calls, triple the cost. This workflow fixes that. What Does It Do? Semantic caching with superpowers. When someone asks a question, it checks if you've answered something similar before. Not exact matches—semantic similarity. If it finds a match, boom, instant cached response. No LLM call, no cost, no waiting. First time: "What's your refund policy?" → Calls LLM, caches answer Next time: "How do refunds work?" → Instant cached response (it knows these are the same!) Result: Faster responses + way lower API bills” This is HUGE! Cutting the cost of api usage AND speeding up responses! Here is a downloadable template to play with for now. I’ll be releasing a video this next week showcasing how to setup and use it! https://n8n.io/workflows/10887-reduce-llm-costs-with-semantic-caching-using-redis-vector-store-and-huggingface/

I'm curious. I have seen Hostinger push really hard for Self Hosted n8n, what would be the difference of something like this vs doing it through digital ocean?

Today I’m hosting a Q&A and I want to answer all your questions relating to n8n. Still having trouble self hosting? Not sure how the pesky loop works? Unfamiliar with adding custom code in? Come ask all your questions or hear what others have to ask and we’ll learn together. See yall then.

Not gonna spam here just wanna start a new thread regarding what prompts people are using in Claude desktop or cloud / ChatGPT when they wanna throw ideas around / debug etc? And are you doing it in the cloud or made a personal n8n instance with toos? Always had a problem having a LLM being daily up to date with n8n documentation.

They've officially release their full v2 docker image, so it can now be accessed by using the :beta tag! Your docker-compose.yml file should have this as the n8n service: n8n: image: docker.n8n.io/n8nio/n8n:beta restart: always ports: - 5678:5678 environment: - N8N_HOST=${SUBDOMAIN}.${DOMAIN_NAME} - N8N_PORT=5678 - N8N_PROTOCOL=https - NODE_ENV=production - WEBHOOK_URL=https://${SUBDOMAIN}.${DOMAIN_NAME}/ - GENERIC_TIMEZONE=${GENERIC_TIMEZONE} - EXECUTIONS_TIMEOUT=3600 volumes: - n8n_data:/home/node/.n8n - ${DATA_FOLDER}/local_files:/files