RAG with GRPO Fine-Tuned Reasoning Model
Explore rag with grpo fine-tuned reasoning model with practical insights and expert guidance from the LanceDB team.
Creating a FinTech AI Agent From Scratch
Explore fintech ai agent from scratch with practical insights and expert guidance from the LanceDB team.
Chunking Analysis: Which is the right chunking approach for your language?
Explore chunking analysis: which is the right chunking approach for your language? with practical insights and expert guidance from the LanceDB team.
WeRide's Data Platform Transformation: How LanceDB Fuels Model Development Velocity
Discover how WeRide, a leading autonomous driving company, leveraged LanceDB to revolutionize their data platform, achieving 90x improvement in ML developer productivity and reducing data mining time from 1 week to 1 hour.
Python Package to convert image datasets to lance type
Explore python package to convert image datasets to lance type with practical insights and expert guidance from the LanceDB team.
November Feature Roundup
Explore november feature roundup with practical insights and expert guidance from the LanceDB team.
Implement Contextual Retrieval and Prompt Caching with LanceDB
Unlock about implement contextual retrieval and prompt caching with lancedb. Get practical steps, examples, and best practices you can use now.
Late Interaction & Efficient Multi-modal Retrievers Need More Than a Vector Index
Explore late interaction & efficient multi-modal retrievers need more than a vector index with practical insights and expert guidance from the LanceDB team.
Training a Variational AutoEncoder from Scratch with Lance File Format
Train a Variational Autoencoder end‑to‑end using Lance for fast, scalable data handling. You’ll set up the dataset, build the VAE in PyTorch, and run training, sampling, and reconstructions.