Generative AI Software Development
While having access to a chatbot is amazing, its application in real-world workflows is often limited. Just like building an ERP system in spreadsheets is too risky and error-prone for enterprises, deploying a generic AI without careful engineering can lead to unpredictable results. To use chatbots effectively for business, they must be integrated into precise workflows so they give reliable and predictable results.
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Predictable Generation
Increase AI text generation reliability through careful prompt engineering.
Avoiding Hallucinations
Use retrieval-augmented generation (RAG) to make the AI stick to domain knowledge.
Cloud Integration
Seamlessly integrate with native AI platforms like MS Azure OpenAI Service.
Performance Tuning
Optimized token performance and cost control with AI embedding models.
Semantic Search
Query by using not only words/characters but also concepts. Effortless information retrieval is made possible through intuitive natural language search capabilities, with each answer backed by citations.