Multimodal Embedding with Langchain in Node.js with Vertex AI

About this video

Check out my latest script in the Developer's Digest GitHub repository, where we explore the power of AI and Langchain. We're leveraging Google's Vertex AI to perform similarity searches - finding similarities based on images or text. This efficient script uses Faiss vector stores for fast and accurate results. Repository: https://github.com/developersdigest/Multimodal_Embeddings_Langchain_Vertex_AI Developer's Digest GitHub: https://github.com/developersdigest/ Setup is simple - just clone the repo and install the required dependencies. Make sure you have "faiss-node" and "langchain" in your package.json, and remember to set the "type" field to "module". This script is a great tool for anyone interested in AI, from beginners to seasoned developers, offering a practical experience of similarity searches with Google's Vertex AI. Don't forget to visit the relevant links for more information: Google Cloud Console: https://console.cloud.google.com/ Google Model Garden: https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/5 Vertex AI: https://cloud.google.com/vertex-ai Google Cloud SDK: https://cloud.google.com/sdk/docs/install Langchain Docs: https://js.langchain.com/docs/modules/data_connection/experimental/multimodal_embeddings/google_vertex_ai