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🌟 Exciting News for LanceDB Community!🚀

Dear LanceDB Community, We are thrilled to announce some significant updates in our open-source software, LanceDB, the database designed for multimodal AI/ML data processing
News 1 min read
Effortlessly Loading and Processing Images with Lance: A Code Walkthrough

Effortlessly Loading and Processing Images with Lance: A Code Walkthrough

Working with large image datasets in machine learning can be challenging, often requiring significant computational resources and efficient data-handling techniques. While widely used for image
Blog 5 min read
Track AI Trends: CrewAI Agents & RAG

Track AI Trends: CrewAI Agents & RAG

This article will teach us how to make an AI Trends Searcher using CrewAI Agents and their Tasks. But before diving into that, let'
Blog 5 min read
Create LLM apps using RAG

Create LLM apps using RAG

If you're considering making a personalized bot for your documents or website that responds to you, you're in the right spot. I'm here to help you create a bot using Langchain and RAG strategies for this purpose.
Blog 18 min read
Multimodal Myntra Fashion Search Engine using LanceDB

Multimodal Myntra Fashion Search Engine using LanceDB

In this comprehensive guide, we aim to explain the process of creating a multi-modal search app and break it down into manageable steps. The procedure
Blog 5 min read
Custom Datasets for efficient LLM training using Lance

Custom Datasets for efficient LLM training using Lance

Learn how to craft custom text datasets for LLM training and fine-tuning using Lance.
4 min read
GTA5 Multimodal RAG application

GTA5 Multimodal RAG application

Artificial Intelligence (AI) has been actively working with text for quite some time, but the world isn't solely centered around words. If you take a moment to look around, you'll find a mix of text, images, videos, audio, and their combinations.
Blog 11 min read
Hybrid search, New OpenAI Embedding Models, Multimodal RAG for Video Processing

Hybrid search, New OpenAI Embedding Models, Multimodal RAG for Video Processing

Highlights Hybrid search with custom reranking (included in LanceDB Python version 0.6.0 release) * Explore the potential of reranking to enhance retrieval quality and
Newsletter 2 min read
Implementing Corrective RAG in the Easiest Way

Implementing Corrective RAG in the Easiest Way

Even though text-generation models are good at generating content, they sometimes need to improve in returning facts. This happens because of the way they are
Blog 5 min read
Hybrid search and custom reranking with LanceDB

Hybrid search and custom reranking with LanceDB

Search has historically been a complex problem in computer science. This is partly due to limitations in natural language or contextual understanding, and partly due
Blog 12 min read
Hybrid search: RAG for real-life production-grade applications

Hybrid search: RAG for real-life production-grade applications

by Mahesh Deshwal What is Hybrid Search, and what’s the need for it? With the increasing usage of LLMs in RAG setting, there’s
Blog 6 min read
Benchmarking New OpenAI Embedding Models with LanceDB

Benchmarking New OpenAI Embedding Models with LanceDB

A couple of weeks ago, OpenAI launched their new and most performant embedding models with higher multilingual performance and new parameters to control the overall
Blog 3 min read

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