Скачать или смотреть Day 18 : How to Use Pinecone Vector Database with Langchain | PDF Search Example

In this video, we dive into the Pinecone Vector Database and how to integrate it with Langchain for efficient and scalable semantic search. Watch as we walk through a practical example using PDF documents, extracting text, generating embeddings, and performing a similarity search. If you're looking to master vector databases for AI applications, this tutorial is for you!

Github link: https://github.com/jitender-insights/...

🔑 Topics Covered:

Setting up Pinecone with Langchain
Extracting text from PDFs
Embedding documents using OpenAI embeddings
Storing and querying embeddings in Pinecone
Building a scalable document search engine
📚 Technologies Used: Pinecone, Langchain, PyPDF2, OpenAI Embeddings

💻 Code Examples: Practical code snippets to help you integrate vector search into your projects.

🔗 Join the DataSciLearn Community:

📷 Instagram:   / datascilearn  
📣 YouTube:    / @datascilearn  
📺 Telegram: https://t.me/datascilearn
LinkedIn:   / datascilearn  

#Pinecone #Langchain #VectorDatabase #PDFSearch #AI #MachineLearning #GenerativeAI #OpenAI #DataSciLearn