and toolkitsMemoryCallbacksChat loadersProvidersMoreClarifaiOn this pageClarifaiClarifai is one of first deep learning platforms having been founded in 2013. Clarifai provides an AI platform with the full AI lifecycle for data exploration, data labeling, model training, evaluation and inference around images, video, text and audio data. In the LangChain ecosystem, as far as we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations.Installation and Setup‚ÄãInstall the Python SDK:pip install clarifaiSign-up for a Clarifai account, then get a personal access token to access the Clarifai API from your security settings and set it as an environment variable (CLARIFAI_PAT).Models‚ÄãClarifai provides 1,000s of AI models for many different use cases. You can explore them here to find the one most suited for your use case. These models include those created by other providers such as OpenAI, Anthropic, Cohere, AI21, etc. as well as state of the art from open source such as Falcon, InstructorXL, etc. so that you build the best in AI into your products. You'll find these organized by the creator's user_id and into projects we call applications denoted by their app_id. Those IDs will be needed in additional to the model_id and optionally the version_id, so make note of all these IDs once you found the best model for your use case!Also note that given there are many models for images, video, text and audio understanding, you can build some interested AI agents that utilize the variety of AI models as experts to understand those data types.LLMs‚ÄãTo find the selection of LLMs in the Clarifai platform you can select the text to text model type here.from langchain.llms import Clarifaillm = Clarifai(pat=CLARIFAI_PAT, user_id=USER_ID, app_id=APP_ID, model_id=MODEL_ID)For more details, the docs on the Clarifai LLM wrapper provide a
Clarifai is one of first deep learning platforms having been founded in 2013. Clarifai provides an AI platform with the full AI lifecycle for data exploration, data labeling, model training, evaluation and inference around images, video, text and audio data. In the LangChain ecosystem, as far as we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations.
Clarifai is one of first deep learning platforms having been founded in 2013. Clarifai provides an AI platform with the full AI lifecycle for data exploration, data labeling, model training, evaluation and inference around images, video, text and audio data. In the LangChain ecosystem, as far as we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations. ->: and toolkitsMemoryCallbacksChat loadersProvidersMoreClarifaiOn this pageClarifaiClarifai is one of first deep learning platforms having been founded in 2013. Clarifai provides an AI platform with the full AI lifecycle for data exploration, data labeling, model training, evaluation and inference around images, video, text and audio data. In the LangChain ecosystem, as far as we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations.Installation and Setup‚ÄãInstall the Python SDK:pip install clarifaiSign-up for a Clarifai account, then get a personal access token to access the Clarifai API from your security settings and set it as an environment variable (CLARIFAI_PAT).Models‚ÄãClarifai provides 1,000s of AI models for many different use cases. You can explore them here to find the one most suited for your use case. These models include those created by other providers such as OpenAI, Anthropic, Cohere, AI21, etc. as well as state of the art from open source such as Falcon, InstructorXL, etc. so that you build the best in AI into your products. You'll find these organized by the creator's user_id and into projects we call applications denoted by their app_id. Those IDs will be needed in additional to the model_id and optionally the version_id, so make note of all these IDs once you found the best model for your use case!Also note that given there are many models for images, video, text and audio understanding, you can build some interested AI agents that utilize the variety of AI models as experts to understand those data types.LLMs‚ÄãTo find the selection of LLMs in the Clarifai platform you can select the text to text model type here.from langchain.llms import Clarifaillm = Clarifai(pat=CLARIFAI_PAT, user_id=USER_ID, app_id=APP_ID, model_id=MODEL_ID)For more details, the docs on the Clarifai LLM wrapper provide a