Cohere llm api: Retrieval Augmented Generation (RAG) #553
Labels
AI-Agents
Autonomous AI agents using LLMs
AI-Chatbots
Topics related to advanced chatbot platforms integrating multiple AI models
ai-platform
model hosts and APIs
Algorithms
Sorting, Learning or Classifying. All algorithms go here.
code-generation
code generation models and tools like copilot and aider
RAG
Retrieval Augmented Generation for LLMs
Research
personal research notes for a topic
Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG) is a method for generating text using additional information fetched from an external data source. Providing relevant documents to the model can greatly increase the accuracy of the response. The Chat API in combination with the Command model makes it easy to generate text that is grounded on supplementary information.
For example, the code snippet below will produce an answer to "Where do the tallest penguins live?" along with inline citations based on the provided documents.
More about Retrieval Augmented Generation (RAG)
Suggested labels
{'label-name': 'text-generation-method', 'label-description': 'Method for generating text using external information', 'confidence': 54.99}
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