Puzzle Labs
PaidAI-powered, private peer-to-peer knowledge base for your team
About Puzzle Labs
Puzzle Labs offers SiteRetriever, a self-hosted AI chatbot solution designed for websites and knowledge bases. The platform prioritizes data ownership and cost control by running entirely on the user's own infrastructure, with no monthly fees, usage limits, or vendor lock-in after deployment. SiteRetriever provides a simple JavaScript embed that works with WordPress, Shopify, custom sites, and other platforms, enabling organizations to add intelligent, context-aware conversational agents to their online presence without sharing data externally.
The system supports uploading documentation, FAQs, and knowledge bases in formats such as PDF, HTML, and markdown, which the AI uses to provide accurate responses. Customization options allow teams to tailor the chatbot's appearance and behavior to match their branding. The solution is built for speed with edge deployment options, ensuring visitors receive instant responses. As a self-contained solution, all data and processing remain on the user's servers, eliminating external API calls and third-party data sharing. SiteRetriever is currently in early access, with a waitlist available for those interested in deploying their own self-hosted AI chatbot.
Key Features
Pros & Cons
- No ongoing monthly fees after deployment (appears to be a one-time purchase or free model based on website claims)
- Full data sovereignty – user retains complete control over data and infrastructure
- Vendor lock-in is eliminated due to self-hosted nature
- Customizable behavior and branding to match existing site design
- Fast performance with edge deployment capabilities
- Requires technical expertise to self-host and maintain infrastructure
- Currently in early access with a waitlist – not yet publicly available
- The self-hosted model may involve upfront costs for servers or cloud resources
- No mention of mobile app or native integrations beyond websites
- Ongoing maintenance and updates must be managed by the user
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