Data is at the heart of nearly every organization today. As data volumes continue to explode, companies must find ways to effectively store, process, and analyze their data. …

Large Language Models (LLMs) have made many tasks easier like making chatbots, language translation, text summarization, and many more. In the past, we used to write models for different tasks, and then there was always the issue of their performance. Now, we can do most of the tasks easily with…

On November 6, 2023, OpenAI announced the release of their GPTs. On this no-code platform, as a professional (or hobbyist) developer, you can build customized GPTs or chatbots using your tools and prompts, effectively changing your interactions with OpenAI’s GPT. Previous interactions mandated using dynamic prompting to retrieve responses from…

Vector databases offer lightning-fast retrieval on similar objects stored in between billions of records. However, you may also be interested in searching for related objects that match a specific set of conditions, known as filtered vector search. …

In this article, we compare MyScale, an integrated vector database that offers full SQL support, with two traditional databases: PostgreSQL and OpenSearch. Both databases have recently added vector similarity search to their toolboxes. The advent of Large Language Models (LLMs) has increased interest in integrating conversational interfaces into various applications…

Large Language Models (LLM) can be more reliable on truthfulness when given some retrieved contexts from a knowledge base, which is known as Retrieval Augmented Generation (RAG). Our earlier blogs discussed RAG’s performance gain and feasibility in cost and latency. …

In today’s fast-growing and dynamic global business landscape, Human Resource (HR) teams (especially from cross-border organizations) face ever-increasing challenges in efficiently maintaining legal and financial compliance. …

Retrieval-augmented generation (RAG) is an AI framework designed to augment an LLM by integrating it with information retrieved from an external knowledge base. And based on the increasing focus RAG has garnered lately, it is reasonable to conclude that RAG is now a prominent topic in the AI/NLP (Artificial Intelligence/Natural…

Large Language Models (LLMs) are smart enough to understand context. They can answer questions, leveraging their vast training data to provide coherent and contextually relevant responses, no matter whether the topic is astronomy, history or even physics. …