Context Link RAG API - Add AI Era Personalisation to your Software product

Hey Product Hunt 👋 I originally built Context Link because I was tired of copy and pasting context, and tracking down links when using ChatGPT and Claude on marketing and content tasks. Since launching here last year, we've developed both a ChatGPT and Claude connector. However, I wanted to use the same vector search and personalisation in other software projects. Usually when adding AI features to SaaS products where better context directly improves the output quality. So today I’m launching the Context Link RAG API. Its a white-label RAG solution, so you can give every customer of your SaaS their own private vector index, built from their website and/or data your product sends us. Before your software generates a response, draft, recommendation, campaign or onboarding experience, it retrieves the customer’s relevant context first. The result is AI-generated content that reflects what that customer actually sells, says and believes instead of producing the same generic answer for every account. A few details: One API call to provision a customer We routinely crawl their website and any customer markdown/text you feed us One API call with any query to retrieve full context or a concise cited answer Keep every customer’s content isolated in its own private index Use your own UI, model and brand We handle all the scraping, vector database hosting, querying, chunking, and scoring algorithm. Dedicated admin MCP with tools for plan_integration and every white label API endpoint It isn’t another chatbot widget. It’s the retrieval layer behind the AI features you’re already building. There’s a seven-day free trial, and pricing starts at $50/month for 10 end-customer accounts. If you’re building AI into a SaaS product, where would customer-specific context improve it most: generated content, onboarding, support, recommendations, or something else? I’d genuinely love your feedback. Cheers! Oli