Improve SEO metadata across documentation pages (#4447)

2026-03-20 02:52:39 -07:00
parent 401754ca65
commit f05e50d940
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 title: Configurations
+description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
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 ## How to define configurations?
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 title: Anthropic
+description: "Configure Anthropic Claude models as the LLM provider in Mem0 with API key setup and usage examples."
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 title: AWS Bedrock
+description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
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 ### Setup
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 title: Azure OpenAI
+description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
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 <Note> Mem0 Now Supports Azure OpenAI Models in TypeScript SDK </Note>
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 title: DeepSeek
+description: "Configure DeepSeek as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
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 To use DeepSeek LLM models, you have to set the `DEEPSEEK_API_KEY` environment variable. You can also optionally set `DEEPSEEK_API_BASE` if you need to use a different API endpoint (defaults to "https://api.deepseek.com").
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 title: Google AI
+description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
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 To use the Gemini model, set the `GOOGLE_API_KEY` environment variable. You can obtain the Google/Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
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 title: Groq
+description: "Configure Groq as an LLM provider in Mem0 for high-speed inference using LPU-powered language models."
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 [Groq](https://groq.com/) is the creator of the world's first Language Processing Unit (LPU), providing exceptional speed performance for AI workloads running on their LPU Inference Engine.
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 title: LangChain
+description: "Use LangChain as an LLM provider in Mem0 to integrate with various chat models through a unified interface."
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+---
+title: "LiteLLM"
+description: "Use LiteLLM as an LLM provider in Mem0 to access over 100 language models through a unified interface."
+---
 [Litellm](https://litellm.vercel.app/docs/) is compatible with over 100 large language models (LLMs), all using a standardized input/output format. You can explore the [available models](https://litellm.vercel.app/docs/providers) to use with Litellm. Ensure you set the `API_KEY` for the model you choose to use.

 ## Usage
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 title: LM Studio
+description: "Configure LM Studio as an LLM provider in Mem0 for running local language models via an OpenAI-compatible API."
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 To use LM Studio with Mem0, you'll need to have LM Studio running locally with its server enabled. LM Studio provides a way to run local LLMs with an OpenAI-compatible API.
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 title: Mistral AI
+description: "Configure Mistral AI as an LLM provider in Mem0 using the litellm integration and Mixtral model family."
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 To use mistral's models, please obtain the Mistral AI api key from their [console](https://console.mistral.ai/). Set the `MISTRAL_API_KEY` environment variable to use the model as given below in the example.
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 title: Ollama
+description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
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 You can use LLMs from Ollama to run Mem0 locally. These [models](https://ollama.com/search?c=tools) support tool calling.
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 title: OpenAI
+description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
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 To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
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 title: Sarvam AI
+description: "Configure Sarvam AI as an LLM provider in Mem0, specializing in Indian language support with the Sarvam-M model."
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 **Sarvam AI** is an Indian AI company developing language models with a focus on Indian languages and cultural context. Their latest model **Sarvam-M** is designed to understand and generate content in multiple Indian languages while maintaining high performance in English.
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 title: Together
+description: "Configure Together AI as an LLM provider in Mem0 with API key setup and Mixtral model configuration."
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 To use Together LLM models, you have to set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from their [Account settings page](https://api.together.xyz/settings/api-keys).
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 title: vLLM
+description: "Configure vLLM as an LLM provider in Mem0 for high-performance local inference with GPU-optimized serving."
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 [vLLM](https://docs.vllm.ai/) is a high-performance inference engine for large language models that provides significant performance improvements for local inference. It's designed to maximize throughput and memory efficiency for serving LLMs.
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 title: xAI
+description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
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 [xAI](https://x.ai/) is a new AI company founded by Elon Musk that develops large language models, including Grok. Grok is trained on real-time data from X (formerly Twitter) and aims to provide accurate, up-to-date responses with a touch of wit and humor.
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 title: Overview
+description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
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 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.