Information retrieval systems like search engines and databases have revolutionized the digital age with their ability to manage and analyze vast amounts of data rapidly and efficiently, largely based on keywords and fields in data files. With increasing volumes of audio and video files, retrieving pertinent data could be challenging as it commonly involves manual…
Amazon Bedrock's Knowledge Bases feature is aimed at securely linking foundation models with company data using Retrieval Augmented Generation (RAG). This boosts the RAG workflow, eliminating the need for custom data source integrations and data flow management. Guardrails for Amazon Bedrock enables organizations to implement safeguards tailored to their use cases and responsible AI policies.…
Historically, image captioning and text-to-image search have fascinated machine-learning practitioners and businesses. The open-source models, Contrastive Language-Image Pre-training (CLIP) and Bootstrapping Language-Image Pre-training (BLIP), were the first to produce near-human results. Recently, multimodal models using generative models are being used to map text and images to the same embedding space for best results. Amazon has…
Modern chatbots are revolutionizing the customer service sector by providing 24/7 support in multiple languages. Their ability to handle concurrent inquiries in real time, provide relevant data-driven insights, and scale effortlessly make them a cost-effective solution for customer engagement. These benefits are magnified when chatbots are integrated with internal knowledge bases and large language models…
OpenSearch is open source software that offers an array of tools for search, data analytics, security monitoring, and observability applications. Amazon OpenSearch Service, powered by OpenSearch, simplifies the deployment, scaling, and operation of OpenSearch in the AWS Cloud.
OpenSearch uses the BM-25 framework to calculate relevance scores, but this doesn’t consider user behavior data like clicks…