How to Using Pinecone to get Semantically Similar QnA from Google's Natural Questions Dataset

Опубликовано: 05 Февраль 2025
на канале: Inabia Solutions & Consulting Inc

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I'll be showing how to use pinecone's vector database service to search for semantically similar QnA using Google's Natural Questions Dataset with over 80k items.

🔴Link to Google's Natural Questions Dataset:👉 https://raw.githubusercontent.com/goo...

🔴Link to the code:
👉https://github.com/haythamodeh/Pineco...

🔥You need to initialize your pinecone API key before you can deploy your services.🔥

✔️I'm using Jupyter notebook as my IDE.
What you'll need to get started is installing some dependencies using either anaconda prompt or Jupyter notebook itself:
✔️Pinecone:
Jupyter notebook: !pip install pinecone-client
✔️Pandas:
Anaconda Prompt: conda install pandas
✔️Sentence Transformers:
conda install -c conda-forge sentence-transformers
!pip install sentence-transformers

⭐Made by: Haytham Odeh (Software Engineer Intern at Inabia)⭐

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#NLP #Pinecone #VectorDatabase #SemanticSearch #QuestionAnswering