Embed

Embed is a hosted platform for creating and deploying Retrieval-Augmented Generation (RAG) chatbots from your own knowledge sources. Instead of manually wiring up pipelines, you upload or connect content—such as PDFs, web pages (URLs/HTML), and plain text or Q&A-style data—and Embed turns it into a searchable knowledge base that your chatbot can use to answer questions with grounded context.

After training a knowledge base, you configure the chatbot behavior by defining system prompts and choosing an AI model. The service supports multiple model options, including GPT, Google Gemini, and Llama-family models, and it also provides access to free Llama2 and Llama3 chat models. This lets you tune the assistant’s tone, constraints, and response style while keeping answers tied to your documentation.

Deployment is designed to be simple: Embed generates an iFrame so you can place the chatbot on virtually any website or internal portal without heavy engineering work. Once live, the platform can record user queries, giving you visibility into what people ask and where the bot may struggle. When inaccuracies or gaps are found, you can retrain the knowledge base to continuously improve response quality over time.

Embed is suited for teams that want a practical way to publish a documentation-driven assistant—whether for customers, employees, or a focused Q&A experience—while maintaining a feedback loop through query tracking and retraining. For product details, quickstart guidance, pricing, and login, the service is available through the Embed site and documentation, with support reachable via the contact page.