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.
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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.
My Summer Internship Experience at LanceDB
I'm Raunak, a master's student at the University of Illinois, Urbana-Champaign. This summer, I had the opportunity to intern as a Software Engineer at LanceDB, an early-stage startup based in San Francisco.
Columnar File Readers in Depth: APIs and Fusion
The API used to read files has evolved over time, from simple full table reads to batch reads and eventually to iterative record batch readers. Lance takes this a step further to return a stream of read tasks.
Developers, Ditch the Black Box: Welcome to Continue
Remember flipping through coding manuals? Those quickly became relics with the rise of Google and Stack Overflow, a one-stop shop for developer queries.