Semantic search powered by AI
Users don't always use the exact words you expect. Owl understands meaning, not just keywords, finding the right answer even when the question is phrased unexpectedly.
Understands that "how do I join" and "what's the IP" might be the same question.
Combines vector similarity with keyword matching for the best of both worlds.
Search quality improves as your knowledge base grows.
Sub-second search across thousands of Q&A pairs.
The user's question is converted to a vector representation using AI.
Both semantic similarity and keyword matching find relevant knowledge.
Results are merged and ranked using Reciprocal Rank Fusion (RRF).
Top results provide context for generating the final response.
Owl uses OpenAI's text-embedding-3-small for efficient, high-quality embeddings.
There's no practical limit. The system is designed to scale with your community.
Yes. You can upload existing documentation during onboarding or add it manually later.
Get started for free and see how Owl can transform your Discord support.