Visitors to our website rarely use the right keywords. Instead, they ask vague questions like ‘Do you do that thing with the phones?’ That’s where semantic search comes in. With the help of Pinecone and OpenAI Embeddings, our bot can understand the intent behind the messy query and retrieve the correct service page from our vector store.
But how does it work? Well, first we use Pinecone to index our vector database. Then, when a visitor asks a question, we use OpenAI Embeddings to generate a vector representation of their query. Finally, we use the Pinecone index to find the closest match in our vector database.
This approach allows our bot to provide accurate and relevant answers to our visitors’ questions, even when they don’t use the right keywords.
Learn more about our semantic search technology and how it can help you improve your customer experience.
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