DataTalks.Club

Navigating Challenges and Innovations in Search Technologies - Atita Arora

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We talked about:


  • Atita’s background
  • How NLP relates to search
  • Atita’s experience with Lucidworks and OpenSource Connections
  • Atita’s experience with Qdrant and vector databases
  • Utilizing vector search
  • Major changes to search Atita has noticed throughout her career
  • RAG (Retrieval-Augmented Generation)
  • Building a chatbot out of transcripts with LLMs
  • Ingesting the data and evaluating the results
  • Keeping humans in the loop
  • Application of vector databases for machine learning
  • Collaborative filtering
  • Atita’s resource recommendations


    • Links:

    • LinkedIn: https://www.linkedin.com/in/atitaarora/
    • Twitter: https://x.com/atitaarora
    • Github: https://github.com/atarora
    • Human-in-the-Loop Machine Learning: https://www.manning.com/books/human-in-the-loop-machine-learning
    • Relevant Search: https://www.manning.com/books/relevant-search
    • Let's learn about Vectors: https://hub.superlinked.com/
      • Langchain: https://python.langchain.com/docs/get_started/introduction
    • Qdrant blog: https://blog.qdrant.tech/
    • OpenSource Connections Blog: https://opensourceconnections.com/blog/


      • Free ML Engineering course: http://mlzoomcamp.com

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