Make internal docs searchable with plain-English semantic search

Make internal docs searchable with plain-English semantic search targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of ≈12% YoY (enterprise search & knowledge management growth driven by AI adoption; industry reports and vendor growth indicators).

Key trends driving demand: AI-first knowledge retrieval — LLMs and embeddings allow natural-language answers from unstructured documents, making semantic search materially better than keyword search and increasing buyer interest.; Privacy and compliance demand — many companies prefer self-hosted or single-tenant deployments to keep sensitive documentation off third-party cloud models, creating demand for on-premise semantic solutions.; Developer and product tooling consolidation — teams prefer turnkey integrations (browser extensions, Slack, IDE plugins) that surface answers in-context, which increases product stickiness once integrated.; Open-source vector tooling maturation — projects like Weaviate, Milvus and local LLMs reduce vendor lock-in and lower infrastructure costs, enabling new entrants to build competitive solutions faster..