April 29, 2024, 4:35 a.m. | Abhishek Gupta

DEV Community dev.to

Implement RAG (using LangChain and PostgreSQL) to improve the accuracy and relevance of LLM outputs


Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python …

accuracy ai development api applications claude developers development etc generative go langchain language language models large language large language models llama llama 2 llm machine machine learning machinelearning machine learning models managed meta platforms postgres postgresql rag retrieval retrieval augmented generation services

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