Go beyond keyword matching. Our NLP-powered semantic search understands the meaning and context of queries, delivering highly relevant results from your enterprise data and knowledge bases.
Queries are understood by intent and meaning — not just keywords. "Show me Q3 revenue decline" finds the right data even with different wording.
Seamlessly integrates with Retrieval Augmented Generation (RAG) pipelines to ground LLM responses in your actual enterprise data.
Optimized vector similarity algorithms deliver search results in under 100 milliseconds — even across millions of documents.
Search across 50+ languages with cross-lingual retrieval. Query in English, retrieve results in any language.
Index PDFs, Word docs, Confluence, Notion, Slack, databases, and APIs. Universal connectors for your entire knowledge base.
Results ranked by semantic relevance, recency, and user context. Personalized search that learns from usage patterns.
Let employees find internal policies, procedures, and institutional knowledge instantly using natural language queries across your entire document library.
Power AI support agents that can retrieve precise answers from your knowledge base and product documentation with semantic accuracy.
Search across codebases, API docs, and developer wikis by describing functionality — not exact function names.
Surface relevant contracts, regulations, and precedents from large document repositories with contextual understanding.
Start building with Semantic Search today — included at no extra cost with Token Exchange.