Weaviate Podcast

119 Episodes

1. Etienne Dilocker on Weaviate v1.14 Release!

   Published: 7/8/2022
2. Vincent D. Warmerdam on Applications of Nearest Neighbor Search

   Published: 6/28/2022
3. Kyle Lo on Scientific Literature Mining

   Published: 5/31/2022
4. Etienne Dilocker on ANN Benchmarks

   Published: 5/24/2022
5. Maximilian Werk on Jina AI's Neural Search Framework

   Published: 5/3/2022
6. UNC research team on VL Adapter for Efficient CLIP Transfer

   Published: 4/26/2022
7. Data Science with Rick Lamers from Orchest

   Published: 4/5/2022
8. Jonathan Frankle, Research Scientist in Deep Learning

   Published: 3/29/2022
9. CEO Han Xiao From Jina AI

   Published: 3/15/2022
10. Yury Malkov and Etienne Dilocker about HNSW in Vector Search and Weaviate

    Published: 3/10/2022
11. Karen Beckers about The Role of Vector Search in eCommerce

    Published: 3/3/2022
12. Brady Neal about Causal Inference in Vector Search

    Published: 2/28/2022
13. Arvind Neelakantan of OpenAI • Embeddings API in Weaviate

    Published: 2/11/2022
14. How Zencastr Searches through their Podcast Transcriptions with Weaviate

    Published: 2/2/2022
15. How The Knowledge Management Bot Katie leverages Weaviate

    Published: 1/21/2022
16. On Deepset's Haystack and how they leverage The Weaviate Vector Search Engine

    Published: 1/11/2022
17. A Vision for The Future of Vector Search

    Published: 12/20/2021
18. How Keenious uses Weaviate to Enable Semantic Search through 60M+ Academic PUBs

    Published: 12/13/2021
19. Community and Weaviate Core Update

    Published: 12/5/2021