Zain Hasan
where else to find them
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Abhiram Ravikumaronce
- Akmal Chaudhrionce
- Alejandro Cantosonce
all 13 in the filters
who talks about the same things
- Daniel Svonava3 talks
- Laura Ham6 talks
- Venkat Venkatakrishnan2 talks
- Atita Arora8 talks
- JP Hwang4 talks
- Art Anderson3 talks
| title | conference | date |
|---|---|---|
| ColPali’s Vision-Powered RAG for Enterprise Documents | PyData Global 2024 | 2024-12-03 |
Claims that ColPali embeds entire pages into multi-vector representations using VLMs and then retrieves by maximum similarity token-patch scoring… | ||
| Advanced Retrieval-Augmented Generation Techniques | Berlin Buzzwords 2024 | 2024-06-09 |
Applies RAG to a medical-chatbot pipeline using a 170,000 patient-summaries plus 1.4M-abstracts PMC patients dataset, indexes them into an open-source vector… | ||
| Using Vector Databases for Multimodal Embeddings and Search | NDC London 2024 | 2024-01-29 |
Shows how open-source multimodal encoders (example: ImageBind) plus an open-source vector database (example: we8) convert images audio video and text into… | ||
| Getting Started With Vector Databases | Big Data Conference Europe 2023 | 2023-11-22 |
Explains that vector databases store vectors alongside originals so semantic similarity returns meaning not keywords and scales to billions of documents; demos… | ||
| Premiere | Conf42 Machine Learning 2023 | 2023-05-18 |
A rapid lineup of short sessions promises concrete takeaways: why Edge is the new Cloud with cases that must not send data to the cloud, an Apache Airflow… | ||
| A gentle introduction to Vector Databases | Conf42 Machine Learning 2023 | 2023-05-18 |
Explains that vector databases store embeddings plus original objects, use approximate nearest neighbor indexes to search billions of vectors, and support CRUD… | ||
| nothing matches | ||