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Developers, Ditch the Black Box: Welcome to Continue

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. Now, the

Case Study 3 min read
Benchmarking GPT4-o

Benchmarking GPT4-o

Last week, OpenAI announced its latest LLM, GPT-4o, which follows GPT-4 Turbo. In this blog, we benchmark GPT4-o using a new benchmarking toolkit called "

community 3 min read
Columnar File Readers in Depth: Scheduling vs Decoding

Columnar File Readers in Depth: Scheduling vs Decoding

We've been working on readers / writers for our recently announced Lance v2 file format and are posting in-depth articles about writing a high

Engineering 9 min read
New Funding and A New Foundation for Multimodal AI Data

New Funding and A New Foundation for Multimodal AI Data

I’ve been building data tooling for ML/AI for almost two decades, beginning with being one of the original contributors to pandas. My cofounder

News 3 min read
Columnar File Readers in Depth: Parallelism without Row Groups

Columnar File Readers in Depth: Parallelism without Row Groups

Recently, I shared our plans for a new file format, Lance v2. As I'm creating a file reader for this new format I

Engineering 7 min read
Benchmarking Cohere Rerankers with LanceDB

Benchmarking Cohere Rerankers with LanceDB

Reranking is a process of re-arranging the results of a retriever based on some metric that can be independent of the retrieval scores. In this

Blog 6 min read
Tokens Per Second is NOT All You Need

Tokens Per Second is NOT All You Need

Goodhart’s Law: When a measure becomes a target, it ceases to be a good measure We're excited to have a guest post

Blog 3 min read
Accelerating deep learning workflows with Lance

Accelerating deep learning workflows with Lance

Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images,

5 min read
Practical introduction to Adaptive-RAG

Practical introduction to Adaptive-RAG

Traditional LLMs provide answers based on a fixed knowledge database on which they are trained. This limits their ability to respond with current or specific

Blog 6 min read
Chunking techniques with Langchain and LlamaIndex

Chunking techniques with Langchain and LlamaIndex

In our last blog, we talked about chunking and why it is necessary for processing data through LLMs. We covered some simple techniques to perform

community 15 min read
Lance v2: A columnar container format for modern data

Lance v2: A columnar container format for modern data

Why a new format? Lance was invented because readers and writers for existing column formats did not handle AI/ML workloads efficiently. Lance v1 solved

Engineering 12 min read
Convert any Image dataset to Lance

Convert any Image dataset to Lance

In our previous article, we explored the remarkable capabilities of the Lance format, a modern, columnar data storage solution designed to revolutionize the way we

community 7 min read

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