A practical guide to fine-tuning embedding models This is a follow up to the following report that deals with improving retrievers by training and fine-tuning reranker models A Practical Guide to Training
💼 The Future of AI-Native Development is Local: Inside Continue's LanceDB-Powered Evolution As Continue offers user-controlled IDE extensions, most of the codebase is written in Typescript, and the data is stored locally in the ~/.continue folder. The
A Practical Guide to Training Custom Rerankers A report on reranking, training, & fine-tuning rerankers for retrieval This report offers practical insights for improving a retriever by reranking results. We'll
The Future of Open Source Table Formats: Apache Iceberg and Lance As the scale of data continues to grow, open-source table formats have become essential for efficient data lake management. Apache Iceberg has emerged as a
☁️LanceDB Cloud Public Beta, Lance 2.1 , 🎮Game Studio Case Study ☁️ LanceDB Cloud Public Beta The wait is over! LanceDB Cloud is now in Public Beta! No more wait list; just sign-up, get an API key,
💼AnythingLLM's Competitive Edge: LanceDB for Seamless RAG and Agent Workflows AnythingLLM chose LanceDB as their vector database backbone to create a frictionless experience for developers and end-users alike. By leveraging LanceDB's serverless, setup-free
Lance File 2.1: Smaller and Simpler Almost a year ago I announced we were going to be embarking on a journey to build a new 2.0 version of our file
💼 Second Dinner's Secret Weapon: LanceDB-Powered RAG for Faster, Smarter Game Development 💡This is a case study contributed by the Second Dinner team and the LanceDB team. Second Dinner teamed up with LanceDB Cloud’s serverless architecture
RAG with GRPO Fine-Tuned Reasoning Model 💡This is a community post by Mahesh Deshwal Group Relative Policy Optimization is the series of RL techniques for LLMs to guide them to specific
Table Format for ML Workload, LanceDB x Microsoft at Iceberg Summit 🔥 New Blog: Designing a Table Format for ML Workloads Zero-copy schema evolution, indices for everything, and parallelized operations - all designed for modern ML. We
Fintech AI Agent From Scratch 💡This is community post by Vipul Maheshwari AI agents are popping up everywhere, and they’re only going to become more common in the next
Speaker Identification and Transcription Mapping Using Vector Search 💡This is community post by Shresth Shukla I'm sure you all have used LanceDB on Colab a lot, building complex RAG applications and
Designing a Table Format for ML Workloads In recent years the concept of a table format has really taken off, with explosive growth in technologies like Iceberg, Delta, and Hudi. With so
