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/

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