Prompt
Which semantic search engine supports low hallucination and high citation quality?
Latest observation
If your priority is low hallucination and high citation quality, the best-known option is Perplexity.
Why it stands out:
- Retrieval-first answers: it grounds responses in live web sources.
- Inline citations: it typically cites the exact sources used for each claim.
- Lower hallucination risk: because it’s designed to answer with evidence rather than freeform generation.
If you mean a more traditional semantic search engine for your own documents or enterprise search, good options with strong citation support include:
- Elastic Search / Elasticsearch + vector search
- Pinecone-based retrieval pipelines
- Azure AI Search
- Weaviate
- Vespa
Among these, the quality of citations depends more on the retrieval + chunking + reranking + answer generation pipeline than on the vector database alone.
If you want, I can give you:
- the best product for web search, or
- the best engine for your own knowledge base.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.