RAG

Learn critical knowledge for constructing AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the craze nowadays since it introduces some serious capabilities to large language models like OpenAI’s GPT-4 — and...

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and...

ImportsWe start by installing and importing crucial Python libraries.!pip install llama-index!pip install llama-index-embeddings-huggingface!pip install peft!pip install auto-gptq!pip install optimum!pip install bitsandbytes# if not running on Colab ensure transformers is installed toofrom llama_index.embeddings.huggingface import HuggingFaceEmbeddingfrom...

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Similar to humans might see shapes in clouds or faces on the moon, LLMs can even ‘hallucinate,' creating information...

An open source text embedding model has emerged that is alleged to have higher performance than OpenAI's 'text-embedding-ada-002', the perfect currently available. Through this, it's evaluated that the open source large language model...

NVIDIA has unveiled a chatbot constructing tool much like Google's 'study note creation app'. Its unique feature is that it builds an on-device AI chatbot that runs locally on a Windows PC with...

If you've been experimenting with large language models (LLMs) for search and retrieval tasks, you've likely come across retrieval augmented generation (RAG) as a method so as to add relevant contextual information to LLM...

Mastering Advanced RAG: Unlocking the Way forward for AI-Driven ApplicationsCurrently working as a Solution Architect at MongoDB, I used to be inspired to put in writing this text by engaging dialogues with my colleagues...