Make private LLM wikis easy: local knowledge + hosted LLM integrations

Make private LLM wikis easy: local knowledge + hosted LLM integrations targets a $40.0B = 20M businesses x $2K ACV (knowledge-management + tooling spend for business teams) total addressable market with medium saturation and a year-over-year growth rate of 35%+ (enterprise adoption of AI knowledge tooling and vector services).

Key trends driving demand: Retrieval-augmented generation (RAG) mainstreaming -- RAG is now the default pattern for knowledge-centric LLM apps, increasing demand for integrated wiki solutions.; Local-first / privacy-first tooling -- teams want private knowledge access without sending raw corpora to public LLMs, favoring hybrid/local strategies.; Commoditization of vector infra -- vector DBs and embedding APIs are mature, making integration products feasible and low-risk.; Proliferation of developer toolkits -- LangChain/LlamaIndex et al. lower engineering cost, enabling specialized UX + orchestration to win..