Chang She
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- Zain Hasan6 talks
- Mary Grygleski95 talks
- Ezequiel Lanza21 talks
- Pedram Birounvand2 talks
- Stephen Batifol8 talks
- Atita Arora8 talks
| title | conference | date |
|---|---|---|
| Never Send a Human to do an Agent's Search | PyData Seattle 2025 | 2025-11-07 |
Claim: agents succeed or fail on data, not models. Demonstrated build: an open source Lance file/table format that stores multimodal assets, embeddings, and… | ||
| The Post-Modern Data Stack for AI: Open Source Foundations for a Multimodal La... | AI_dev Europe 2025 | 2025-08-28 |
Lance format is a new open source lakehouse storage that stores images, audio, video, embeddings and tables in the same table on object storage, designed for… | ||
| The Art of Production Quality Retrieval | AI_dev Europe 2025 | 2025-08-28 |
Walks through a production retrieval pipeline: generate captions, mood keywords and image/text embeddings, parse queries with an semantic router LLM to route… | ||
| Scaling Enterprise-Grade RAG: Lessons from Legal Frontier | AI Engineer World's Fair 2025 | 2025-06-03 |
Harvey builds a RAG stack that combines sparse and dense retrieval, domain-specific reranking, and strict privacy controls, running on LanceDB’s AI-native… | ||
| Beyond Parquet and ORC: Upgrading Data Infrastructure for Multi-modal AI with Lance Col... | AI.dev: Open Source GenAI & ML Summit North America 2023 | 2023-12-12 |
Claims a new open columnar format and table layer called Lance that makes AI workloads like vector search, large multimodal training, and EDA far faster and… | ||
| LanceDB: lightweight billion-scale vector search for multimodal AI | PyData Global 2023 | 2023-12-06 |
Claim: LanceDB is an embedded vector database that runs in-process like SQLite yet hits billion vectors on a laptop with millisecond searches. Implementation… | ||
| Bringing AI to DuckDB with Lance columnar format for multi-modal AI | DuckCon #3 | 2023-06-29 |
Lance columnar format and LanceDB aim to replace Parquet+TFRecords copies by storing embeddings, images, text, point clouds and nested annotations together… | ||
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