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Context Link RAG API

Add AI Era Personalisation to your Software product

Give every customer of your SaaS a private vector index built from their website and the data you already hold. Before your product generates a response, draft, recommendation or campaign, retrieve that customer’s own context so the output reflects their business, voice and offering—not a generic prompt. One API call at signup. Your brand, your UI, no vector database or scoring algorithm to host.

Top comment

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

About Context Link RAG API on Product Hunt

Add AI Era Personalisation to your Software product

Context Link RAG API was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #16 on the daily leaderboard. Give every customer of your SaaS a private vector index built from their website and the data you already hold. Before your product generates a response, draft, recommendation or campaign, retrieve that customer’s own context so the output reflects their business, voice and offering—not a generic prompt. One API call at signup. Your brand, your UI, no vector database or scoring algorithm to host.

On the analytics side, Context Link RAG API competes within API, SaaS and Artificial Intelligence — topics that collectively have 620.6k followers on Product Hunt. The dashboard above tracks how Context Link RAG API performed against the three products that launched closest to it on the same day.

Who hunted Context Link RAG API?

Context Link RAG API was hunted by Oli Woods. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Context Link RAG API including community comment highlights and product details, visit the product overview.