Improving the relevance of your LLM application by leveraging Charmed Opensearch’s vector database
Large Language Models (LLMs) fall under the category of Generative AI (GenAI), an artificial intelligence type that produces content based on user-defined context. These models undergo training using an extensive dataset composed of trillions of combinations of words from natural language, enabling them to empower interactive and conversational applications across various scenarios.
Renowned LLMs like GPT, BERT, PaLM, and LLaMa can experience performance improvements by gaining access to additional structured and unstructured data. This additional data may include public or internal documents, websites, and various text forms and content. This methodology, termed retrieval-augmented generation (RAG), ensures that your conversational application generates accurate results with contextual relevance and domain-specific knowledge, even in areas where the pertinent facts were not part of…
