%20and%20large%20language%20models%20(LLMs).%20%20We%20start%20with%20a%20brief%20overview%20of%20the%20retrieval%20augmented%20generation%20(RAG)%20stack.%20%20Then%2C%20we%E2%80%99ll%20briefly%20go%20through%20the%20prep%E2%80%A6&logoUrl=https%3A%2F%2Ffiles.readme.io%2F738edecbf2b96d5ca2faa0a816a528ab2d46943bcc632c7061c5be85d6a2099a-VoyageAI_by_MongoDB_-_Slate_Horizontal.svg&color=%23001e2b)
This tutorial is a step-by-step guidance on implementing a specialized chatbot with RAG stack using embedding models (e.g., Voyage embeddings) and large language models (LLMs). We start with a brief overview of the retrieval augmented generation (RAG) stack. Then, we’ll briefly go through the prep…| Voyage AI
Authentication with API Keys Voyage AI utilizes API keys to monitor usage and manage permissions. To obtain your key, please sign in with your Voyage AI account and click the "Create new secret key" button in the API keys section of the Voyage dashboard. We recommend setting the API key as an enviro…| Voyage AI
Model Choices Voyage currently provides the following text embedding models: Model Context Length (tokens) Embedding Dimension Description voyage-3-large 32,000 1024 (default), 256, 512, 2048 The best general-purpose and multilingual retrieval quality. See blog post for details. voyage-3 32,000 1024...| Voyage AI
