<div class="p-rich_text_section">
How fun would it be to converse with Wikipedia? 😀
Watch this on-demand webinar where Deepgram demonstrates how to craft a voice-to-text chatbot leveraging the entire Wikipedia database of over 100 million vectors.
Discover how to develop a Python Generative AI app with Deepgram&rsquo;s voice-to-text API, LangChain, and a fully vectorized Wikipedia database. In our discussion, we cover how to:
<ul>
<li style="font-weight: 400;" aria-level="1">Establish chatbot memory using RAG (retrieval augmented generation)</li>
<li style="font-weight: 400;" aria-level="1">Mitigate LLM hallucinations through real-time data updates</li>
<li style="font-weight: 400;" aria-level="1">Design dp[; &rsquo;&rsquo;&rsquo;&rsquo;&rsquo;&rsquo;&rsquo;&rsquo;&rsquo;&rsquo;0-0-APIs for voice-to-text and DSLMs (domain specific language models)</li>
</ul>
Join Deepgram and DataStax for a deep dive demo and AMA on voice chatbots and other Generative AI use cases!
</div>

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Wikipedia Speaks! Building Generative AI Bots with Deepgram’s Voice-to-text API and Vector search

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Wikipedia Speaks! Building a voice-powered chatbot on a 100M vectorized Wikipedia database

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Alex Leventer

Peter Griggs