Self-serve document Q&A via embeddable RAG widget in one script tag

Self-serve document Q&A via embeddable RAG widget in one script tag targets a $6.0B = 2M websites with public docs x $3K ACV, representing any company that could embed a doc chatbot total addressable market with medium saturation and a year-over-year growth rate of 40% estimated adoption growth for AI-driven self-service and knowledge products.

Key trends driving demand: LLM API commoditization -- affordable, high-quality text embeddings and completions make RAG implementations much cheaper and faster to build.; Shift to self-service support -- companies are investing in knowledge base automation to reduce live agent load and improve response times.; Documentation-driven product experiences -- customers expect searchable, conversational access to policies, TOS, and manuals.; Compliance and auditability focus -- regulators and contracts increasingly require auditable references to policy text, favoring sourced RAG answers..