Explore document classification techniques using Langchain with OpenAI and Neo4J connectors in this 40-minute Spanish-language video. Learn how to implement document similarity analysis for data science and machine learning applications. Access the accompanying Jupyter notebook on GitHub to follow along with the practical examples and code demonstrations. Gain hands-on experience in leveraging powerful tools like Langchain, OpenAI embeddings, and Neo4J graph database for advanced natural language processing tasks.
Document Similarity: Langchain OpenAI Embeddings and Neo4J in Spanish
The Machine Learning Engineer via YouTube
Overview
Syllabus
Document Similarity: Langchain OpenAi Embeddings y Neo4J Español #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Document Similarity Using Langchain, OpenAI Embeddings, and Neo4J
-
Creating a QA Tool Using Langchain, OpenAI, and Neo4J
-
LangChain Chat with Your Data
-
Langchain Graphs with OpenAI and Neo4J in Spanish
-
LangChain MasterClass: Build 15 LLM Apps with Python
-
Document Similarity: Langchain Sentence Transformers and Chroma
