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Navigating Challenges and Innovations in Search Technologies - Atita Arora
MP3•Episode home
Manage episode 390978816 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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 Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
183 episodes
MP3•Episode home
Manage episode 390978816 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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 Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
183 episodes
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