Langchain Semantic Chunking Code | Use any custom embedding model in Langchain Semantic Chunker #ai

Master the art of semantic chunking using LangChain in this hands-on tutorial! 🌟 Whether you’re working with PDFs or other text data, this video takes you through every step to implement an effective chunking strategy using LangChain’s SemanticChunker module.

Here’s what you’ll learn:

🔹 Custom Wrapper Creation: Learn how to create a wrapper for embedding models using Python classes to meet LangChain’s specific format requirements.

🔹 Chunking PDFs: Step-by-step guide to processing and creating semantic chunks from PDF data effortlessly.

🔹 Code Implementation: Watch as I demonstrate the entire process with detailed code explanations, ensuring clarity and practical understanding.

By the end of this video, you'll have the skills to implement semantic chunking for optimized data processing in your projects! Perfect for AI enthusiasts, developers, and data scientists.

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