LanceDB

🙋 Are you building a generative AI app using an LLM or API? Are you working on a new recsys, a modern search engine, or a new analytical…

In the rapidly evolving landscape of artificial intelligence, Generative AI, especially Language Model Machines (LLMs) have emerged as the…

What is Hybrid Search, and what’s the need for it?

Search has historically been a complex problem in computer science. This is partly due to limitations in natural language or contextual…

A couple of weeks ago, OpenAI launched their new and most performant embedding models with higher multilingual performance and new…

Exploiting the Power of Standardized Expressions

We’re kicking off 2024 with a new LanceDB community newsletter to showcase all the updates in the LanceDB ecosystem, news, blogs, and…

A (near) perfect match

In this era of Large Language Models (LLMs), there is unprecedented demand to create intelligent applications powered by this…

This is a collective work of the following authors:

Implementing LOTR merger retriever & solving the ‘Lost in the Middle’ Challenge in RAG Systems

In Lance v0.8.21, we introduced column statistics and statistics-based page pruning. This enhancement reduces the number of IO calls needed…

How to optimize recall vs latency for RAG

Vector similarity search is finding similar vectors from a list of given vectors in a particular embedding space. It plays a vital role in…

In case you’re interested in modifying and improving retrieval accuracy of RAG pipelines, you should check Re-ranking post.

Use SAM-and-CLIP to search anything on an image

In the landscape of artificial intelligence, large language models (LLMs) have undeniably reshaped the game. However, a notable challenge…

Have you ever wondered how search engines find exactly what you’re looking for? Most often a combination of keyword matching and semantic…

we’ll also do a comparative analysis of the Pytorch model, FP16 Openvino format, and INT8 Openvino format in terms of speedup.

Overview

In the world of search engines, the quest to find the most relevant information is a constant challenge. Researchers are always on the…

One of the most exciting areas of research in deep learning currently is multi-modality and its applications. Kick-started by open sourcing…

Problem Statement:

Sentiment Analysis also known as Opinion Mining is a NLP technique that is used to analyze texts for polarity, from positive to negative…

Welcome to our deep dive into Forward-Looking Active Retrieval Augmented Generation (FLARE), an innovative approach enhancing the accuracy…