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Frequently asked questions
Browse through the common queries to get the answers and insights you need
Browse through the common queries to get the answers and insights you need
What makes Code Snippets AI different?
The Code Snippets AI desktop apps containe an enhanced chat interface for the most popular Open and Closed-Source LLMs. Enabling developers to chat with the latest AI models Including OpenAI GPT-4, Claude2, Mixtral 8x7B, Capybara 7B. Multiple Open-Source and Closed-Source models can be used in same chat in our desktop apps. So long as the model you are switching to has a sufficient token context window to support the current chat length. Contextual awareness is achieved through codebase indexing and vectorization with computed embeddings from OpenRouter, OpenAI or Ollama. OpenRouter and/or OpenAI API key is required.
What languages do we support?
Can you see my code?
Do you offer a free plan?
What makes Code Snippets AI different?
The Code Snippets AI desktop apps containe an enhanced chat interface for the most popular Open and Closed-Source LLMs. Enabling developers to chat with the latest AI models Including OpenAI GPT-4, Claude2, Mixtral 8x7B, Capybara 7B. Multiple Open-Source and Closed-Source models can be used in same chat in our desktop apps. So long as the model you are switching to has a sufficient token context window to support the current chat length. Contextual awareness is achieved through codebase indexing and vectorization with computed embeddings from OpenRouter, OpenAI or Ollama. OpenRouter and/or OpenAI API key is required.
What languages do we support?
Can you see my code?
Do you offer a free plan?
What makes Code Snippets AI different?
The Code Snippets AI desktop apps containe an enhanced chat interface for the most popular Open and Closed-Source LLMs. Enabling developers to chat with the latest AI models Including OpenAI GPT-4, Claude2, Mixtral 8x7B, Capybara 7B. Multiple Open-Source and Closed-Source models can be used in same chat in our desktop apps. So long as the model you are switching to has a sufficient token context window to support the current chat length. Contextual awareness is achieved through codebase indexing and vectorization with computed embeddings from OpenRouter, OpenAI or Ollama. OpenRouter and/or OpenAI API key is required.
What languages do we support?
Can you see my code?
Do you offer a free plan?
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