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Developing Dockerized Embedding Lambda function using Langchain and Google Vertex AI
Table of Content
· Introduction
· Prerequisites
· Developing AWS Lambda Function
· Conclusion
· Read More
Introduction
In the ever-evolving world of cloud computing and AI, integrating powerful tools like AWS Lambda, Langchain, and Google Vertex can unlock new possibilities for developers. AWS Lambda offers a serverless computing platform that allows you to run code without managing servers, while Langchain provides a robust framework for building applications powered by language models. Google Vertex AI, on the other hand, offers a suite of machine learning tools that can be leveraged to generate high-quality embeddings.
In this article, we’ll explore how to develop an AWS Lambda function that utilizes Langchain Embedding with Google Vertex AI, and then deploy it seamlessly using AWS CDK (Cloud Development Kit). Whether you’re a seasoned developer or just starting out, this guide will walk you through the process step-by-step, ensuring you can harness the full potential of these technologies.
Prerequisites
- Google Service Account JSON file
