A Practical Guide to Training Custom Rerankers
Explore a practical guide to training custom rerankers with practical insights and expert guidance from the LanceDB team.
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The Future of Open Source Table Formats: Apache Iceberg and Lance
Explore the future of open source table formats: apache iceberg and lance with practical insights and expert guidance from the LanceDB team.
Lance File 2.1: Smaller and Simpler
Explore lance file 2.1: smaller and simpler with practical insights and expert guidance from the LanceDB team.
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.
Agentic RAG Using LangGraph: Build an Autonomous Customer Support Agent
Build an autonomous customer support agent using LangGraph and LanceDB that automatically fetches, classifies, drafts, and responds to emails with RAG-powered policy retrieval.
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.
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.
The Case for Random Access I/O
One of the reasons we started the Lance file format and have been investigating new encodings is because we wanted a format with better support for random access.