{"podcast":{"title":"The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations","slug":"the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","podcast_index_feed_id":7871831,"rss_url":"https://feeds.fexingo.com/business/the-data-science-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-data-science-podcast/cover.png","author":"Fexingo","episode_count":118,"summary":"Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a gi…","last_synced_at":"2026-07-19T08:17:23.323447+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831"},"episode":{"title":"How Data Scientists Use Vector Databases for RAG Systems","slug":"how-data-scientists-use-vector-databases-for-rag-systems","published_at":"2026-06-19T20:45:11+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-vector-databases-for-rag-systems","show_page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0061.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0061.mp3","summary":"Retrieval-augmented generation, or RAG, is reshaping how companies deploy large language models without retraining. In this episode, Lucas and Luna drill into the data-science architecture behind RAG: how vector databases encode semantic meaning, why cosine similarity beats keyword search, and what a production RAG pipeline looks like at a mid-size fintech startup. They walk through a concrete example—building a customer-support bot for a payments company—showing where embedding models, chunking strategies, and approximate nearest-neighbor search come into play. Lucas breaks down the trade-off between accuracy and latency, and Luna questions whether RAG is just a band-aid for models that can't reason. Tune in for a grounded look at the database layer that's quietly powering the next wave of AI applications. #VectorDatabases #RAG #RetrievalAugmentedGeneration #LLM #Embeddings #CosineSimilarity #ApproximateNearestNeighbor #DataScience #MachineLearning #NLP #AIArchitecture #CustomerSupport #Fintech #Pinecone #Weaviate #Milvus #FexingoBusiness #TechnologyPodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Retrieval-augmented generation, or RAG, is reshaping how companies deploy large language models without retraining. In this episode, Lucas and Luna drill…","key_points":[],"chapters":[],"topics":[],"duration_seconds":676,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-use-vector-databases-for-rag-systems/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-vector-databases-for-rag-systems.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}