Explore the integration of Langchain with ElasticSearch and learn how to implement a Retrieval-Augmented Generation (RAG) component in this 17-minute video tutorial. Discover how to utilize ElasticSearch as both a Vector Store and Retrieval component within a RAG application. Follow along with the provided notebook to gain hands-on experience in combining these powerful tools for enhanced machine learning and data science projects. Dive into practical examples that demonstrate the seamless integration of Langchain, ElasticSearch, and Gemini, offering valuable insights for developers and data scientists looking to leverage these technologies in their work.
Langchain: Integration of ElasticSearch Vector Store and RAG with Gemini
The Machine Learning Engineer via YouTube
Overview
Syllabus
Langchain: Integration ElasticSearch Vector Store & RAG with Gemini #datascience #machinelearning
Taught by
The Machine Learning Engineer
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