Learn how to integrate Langchain with ElasticSearch and implement a Retrieval-Augmented Generation (RAG) system using Gemini in this 25-minute Spanish language video tutorial. Explore practical examples of using ElasticSearch as a Vector Store, following along with hands-on demonstrations that showcase the implementation of a small RAG application. Access the complete code and implementation details through the provided GitHub repository, which contains detailed notebooks covering the integration process. Master the fundamentals of combining these powerful tools to enhance your data science and machine learning projects.
Langchain: Integrating ElasticSearch Vector Store and RAG with Gemini
The Machine Learning Engineer via YouTube
Overview
Syllabus
Langchain: Integracion ElasticSearch Vector Store y RAG con Gemini #datascience #machinelearning
Taught by
The Machine Learning Engineer
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