When we design RAG Architecture, the most important part is how we translate our exisiting data into vectors using embedding query. Let say we have a collection of journals and we want those collections to be context in addtion to our prompt, we need select the relev ...

GPT3.5 with 175B parameters cost approximately $4 Billion within 7 months can be downloaded, allowing them to run on a local computer

Just like GPT, Gemini, and Deepseek, Ollama is an LLM that we can use as an assistant. What most distinguishes Ollama from other LLMs is that the available models can be downloaded, allowing them to run on a local computer