> ## Documentation Index > Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more. Mem0 includes built-in support for various popular large language models. Memory can utilize the LLM provided by the user, ensuring efficient use for specific needs. ## Usage To use an LLM, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `OpenAI` will be used as the LLM. For a comprehensive list of available parameters for llm configuration, please refer to [Config](./config). ## Supported LLMs See the list of supported LLMs below. All LLMs are supported in Python. The following LLMs are also supported in TypeScript: **OpenAI**, **Anthropic**, **AWS Bedrock**, **Groq**, **Azure OpenAI**, **DeepSeek**, **Google AI**, **Langchain**, **LM Studio**, **Mistral AI**, and **Ollama**. ## Structured vs Unstructured Outputs Mem0 supports two types of OpenAI LLM formats, each with its own strengths and use cases: ### Structured Outputs Structured outputs are LLMs that align with OpenAI's structured outputs model: * **Optimized for:** Returning structured responses (e.g., JSON objects) * **Benefits:** Precise, easily parseable data * **Ideal for:** Data extraction, form filling, API responses * **Learn more:** [OpenAI Structured Outputs Guide](https://platform.openai.com/docs/guides/structured-outputs/introduction) ### Unstructured Outputs Unstructured outputs correspond to OpenAI's standard, free-form text model: * **Flexibility:** Returns open-ended, natural language responses * **Customization:** Use the `response_format` parameter to guide output * **Trade-off:** Less efficient than structured outputs for specific data needs * **Best for:** Creative writing, explanations, general conversation Choose the format that best suits your application's requirements for optimal performance and usability.