LanceDB Blog (Page 2)

LanceDB Enterprise Architecture, Lance Community Office Hour, Petabyte Scale Multimodal AI

🔥LanceDB Enterprise Documentation LanceDB Enterprise transforms your data lake into a high performance vector database that can operate at extreme scale. Serve millions of tables

Newsletter 3 min read

Customer support bot with OpenAI's Swarm Agent

💡This is a community blog by Prashant Kumar Difference between an assistant and a Swarm Agent- an assistant is a simple sequential program without function

community 4 min read

Practical introduction to Late Chunking or Chunked Pooling

💡This is a community blog by Mahesh Deshwal Improved Contextual Retrieval over large Documents for RAG applications The pronoun is the King (or Queen), and

community 6 min read

Columnar File Readers in Depth: Backpressure

Streaming data applications can be tricky. When you can read data faster than you can process the data then bad things tend to happen. The

Engineering 6 min read

Advanced RAG with context enrichment window

.... and some advanced filtering and re-ranking technique We all know what's Vanilla RAG, how it works, and how to use it but sometimes

community 7 min read

Foundation of Compound AI Meetup Kicking Off, More LanceDB Integrations

Community contributions 💡Dspy now works with LanceDB. LanceDB helps DSPy by quickly storing and retrieving information. This lets DSPy find relevant details faster, making prompts

Newsletter 2 min read

Implement contextual retrieval and prompt caching with LanceDB

Decrease chunk retrieval failure rate by 35% to 50% Have you ever worked on a task where your users search in one language and the

community 7 min read

Late interaction & efficient Multi-modal retrievers need more than a vector index

A lot has happened in the last few months in AI. Let's look at what's new with document retrieval. Try this

Blog 10 min read

New Lance v0.16.1 Release, Random Access I/O, Hybrid Search+Reranking Report

🔥New release of Lance v0.16.1🔥 Lance v0.16.1 brings new features to help manage versions and Lance file format editions, a new

Newsletter 2 min read

Training a Variational AutoEncoder from scratch with Lance file format

Autoencoders encode an input into a latent space and decode the latent representation into an output. The output is often referred to as the reconstruction,

community 8 min read

Multi document agentic RAG: A walkthrough

💡This is a community post by Vipul Maheshwari Agentic RAG (Retrieval-Augmented Generation) brings a notable improvement in how information is managed. While traditional RAG systems

community 9 min read

Lance v0.16.1 Feature Roundup

In Lance v0.16.1 we introduced several new features, implemented by a combination of LanceDB engineers and community contributors. Lance is an OSS project

Engineering 9 min read