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

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.

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:

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.

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

[FutureSmartAI]

📌 Hey everyone! Enjoying these NLP tutorials? Check out my other project, AI Demos, for quick 1-2 min AI tool demos! 🤖🚀

We aim to educate and inform you about AI's incredible possibilities. Don't miss our AI Demos YouTube channel and website for amazing demos!
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[kyoungd]

I had no idea that I needed vector databases like Pinecone. Now, I cannot live without it. How smart. This was a great introduction.

[AjaySharma-jvqn]

You are doing good job, please. Keep doing it.

[venkatesanr]

I hav one doubt whether sentence transformer can be used to encode large sentences or large paragraph for doing semantic sentences because the e.g., in the video bas less number of sentences.

[aliabasnezhad]

many thanks for this playlist, very helpful and informative! Are any new videos coming in this series? thanks!

[ananthie]

Hi can you please put video about ridis search datbase . And also tell us how to do this for pdf files

[diprachakraborty]

Thanks Pradip. I am getting the below error while running pinecone.create_index
pinecone.create_index(name='question-search', dimension=768, metric='cosine')
Error - TypeError: expected string or bytes-like object, got 'NoneType'

[vijaygharge]

Thanks Pradip for great content.
I have 2 queries. How do I use this approach for custom domain i.e. finance or legal or IT. Any possible approach that you can advise?

[vinven]

NIce video @FutureSmartAI !. If I want my vector database to be local (but it's still big, say a few million documents) does Pine cone have a version I can set up on my end?

[venkatesanr]

Thanks for your informative videos as always. I believe we can also do without pinecone?, how? We can achieve the same, kindly provide some inputs on this.

[SMCGPRA]

How foreign model know upsc and civil services are semantically similar?

[gauravgangwar]

MaxRetryError: HTTPSConnectionPool(host='semantic-search-unknown.svc.us-west-gcp.pinecone.io', port=443): Max retries exceeded with url: /query (Caused by object at 0x7f7da5c6a700>: Failed to establish a new connection: [Errno -2] Name or service not known'))

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Sir I am getting above error while running query....can you please tell me why am I getting it?