The AI capability 'In app search' works by utilizing OpenAI Embeddings and traditional search methods to retrieve relevant information for companies in the Travel Information Services industry. When a query is entered into the search bar, the system compares it against the stored data, including tickets, knowledge base articles, and scraped websites. The AI-powered search then generates the best possible matches based on the query. If the query is in the form of a question, the system can even generate human-like replies using ChatGPT, incorporating relevant data to provide comprehensive answers.
Use case 1
Advanced search capabilities - 'In app search' leverages OpenAI Embeddings to generate embeddings vectors for each ticket, knowledge base article, and scraped website. These vectors are stored in a vector database, allowing for advanced search capabilities.
Use case 2
Relevant data retrieval - When a query is received, the system runs it against OpenAI Embeddings API and searches the stored data for similar and relevant information. This ensures that companies can retrieve the most pertinent data related to the query.
Use case 3
Human-like replies - If the query is in the form of a question, the system utilizes ChatGPT to generate human-like replies. By incorporating the relevant data from the search results, the system can provide comprehensive answers to customer inquiries.
