Row 3145

Row ID: 3145 | Dataset Entry | Axioma AXP Content Repository

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A template to deploy your LangChain app running locally to the cloud. This architecture specifically packages LangServe into a Docker image, stores the image in ECR, and runs the container in AWS Fargate with an ALB in front.

[langserve\_reference\_architecture](https://preview.redd.it/9tz0xyrpudic1.png?width=6079&format=png&auto=webp&s=b43b7ffd9933c744118ac10fb2ec5c82e9663780)

Template comes in Python, Typescript, Golang, C#, YAML. Uses OpenAI for the LLM.

Read the [blog post](https://www.pulumi.com/blog/easy-ai-apps-with-langserve-and-pulumi/) to follow along two examples: a Gandalf chatbot and a Pinecone RAG app

FieldValue
text A template to deploy your LangChain app running locally to the cloud. This architecture specifically packages LangServe into a Docker image, stores the image in ECR, and runs the container in AWS Fargate with an ALB in front. [langserve\_reference\_architecture](https://preview.redd.it/9tz0xyrpudic1.png?width=6079&format=png&auto=webp&s=b43b7ffd9933c744118ac10fb2ec5c82e9663780) Template comes in Python, Typescript, Golang, C#, YAML. Uses OpenAI for the LLM. Read the [blog post](https://www.pu…
label r/gpt3
dataType post
communityName r/GPT3
datetime 2024-02-13
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url_encoded Z0FBQUFBQm5Lak9FSU0xSDFXcGhmTHZoNElYbjNhZkZfTHBkX01tNGxlSkZHREdQRlZoRE9fOVh3d0xsUFlxYmluNUdfQThidm1YZm56YmhjWUI1Z0ZZbXJVS3AyMnh0QkpQUXZLQ0MzZDJvNWd0eU9WMTltaDR4QjBpNGhKTWlOVHRnb1dqLTVINlZoamVPQnlOaU8ydXdOZ3pycG1ucVQ5TjV5NjM2SFJ2NDdUelhodnU2cTJyZ2UwOWVnOTFEU21yQnlrMHV1Szk1

Raw Record

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  "text": "A template to deploy your LangChain app running locally to the cloud. This architecture specifically packages LangServe into a Docker image, stores the image in ECR, and runs the container in AWS Fargate with an ALB in front.\n\n[langserve\\_reference\\_architecture](https://preview.redd.it/9tz0xyrpudic1.png?width=6079&format=png&auto=webp&s=b43b7ffd9933c744118ac10fb2ec5c82e9663780)\n\nTemplate comes in Python, Typescript, Golang, C#, YAML. Uses OpenAI for the LLM.\n\nRead the [blog post](https://www.pulumi.com/blog/easy-ai-apps-with-langserve-and-pulumi/) to follow along two examples:  a Gandalf chatbot and a Pinecone RAG app",
  "label": "r/gpt3",
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  "datetime": "2024-02-13",
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Entry Information