PDF to Vector DB: Smarter Chunking with spaCy 📄

Vector Database | Pinecone Tutorial Part 6 : Smarter PDF Chunking with spaCy for Better AI Search!

In Part 6 of our Vector Database Tutorial Series, we take a major step forward. Instead of basic hardcoded logic to chunk PDF content, we use spaCy—a powerful NLP library—to intelligently segment content based on real language structure. This makes your vector search and retrieval far more accurate and production-ready.

In This Video You’ll Learn:
1. Why traditional chunking logic is limiting
2. How spaCy improves context-aware chunking
3. Code walkthrough of the enhanced PDF loader
4. How to feed semantically rich chunks into Pinecone

Use Cases to use built code in this video:
1. Chat with PDFs
2. Compliance Intelligence & Search
3. Internal knowledge bases
4. Document Q&A systems

https://github.com/vardhmanandroid2015/vector_database_tutorial
https://gitlab.com/beyond_the_technology/vector_database_tutorial

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