Build high-performance Semantic Search applications using Vector Databases | NLP | Code | Pinecone смотреть онлайн

Learn to Build high-performance vector search applications using vector databases.

Pinecone makes it easy to build high-performance vector search applications.
It’s a managed, cloud-native vector database with a simple API and no infrastructure hassles.

Code: https://github.com/PradipNichite/Youtube-Tutorials/blob/main/Vector_Database_Pinecone_.ipynb

Key benefits of Pinecone:

Fast: Ultra-low query latency at any scale, even with billions of items.
Fresh: Live index updates when you add, edit, or delete data.
Filtered: Combine vector search with metadata filters for more relevant, faster results.
Fully managed: Easy to start, use, and scale, while we keep things running smoothly and securely.

NLP Beginner to Advanced Playlist:
https://youtube.com/playlist?list=PLAMHV77MSKJ4Z4OXqao1gRdfQK7VQYAXb

I am a Freelance Data Scientist working on Natural Language Processing (NLP) and building end-to-end NLP applications.

I have over 7 years of experience in the industry, including as a Lead Data Scientist at Oracle, where I worked on NLP and MLOps.

I Share Practical hands-on tutorials on NLP and Bite-sized information and knowledge related to Artificial Intelligence.

LinkedIn: https://www.linkedin.com/in/pradipnichite/

#sentencetransformers #sentenceembedding #embedding #vectordatabase #nlp #machinelearning #transformers #machinelearning #artificialintelligence #datascience