Unleash the Power of Generative AI for Comprehensive Document Analysis and Summarization — Text summarization is a standard Natural Language Processing (NLP) task that creates a concise summary of a longer text. According to LangChain, with foundation models, if the text is too long to stuff into a single prompt, we could use techniques like Map Reduce to summarize each document in a…

Build a generative AI-powered vehicle damage assessment application on AWS using Vector Engine for Amazon OpenSearch Serverless, AI21 Labs’ Foundation Models, and OpenCLIP — In this post, we will build a hypothetical auction vehicle damage assessment and valuation application using generative AI technologies. Based on the vehicle identification number (VIN) and images showing vehicle damage, we will use machine learning and generative AI technologies to assess the vehicle’s value for auction and create a…

Learn how to use AWS’s recently announced Amazon OpenSearch Serverless Vector Search and OpenAI’s CLIP multimodal model to perform image searches based on both text and image inputs — In this post, we will create a search engine to find images based on either text- or image-based input. The search engine will use an Amazon OpenSearch Serverless vector index containing image embeddings created with OpenAI’s CLIP multimodal model. The index will include dimensionally dense vector embeddings of the images…

Examining quantitative metrics, including sacreBLEU, TER, ChrF, ChrF++, BERTScore, ROUGE, METEOR, and Semantic Similarity to evaluate and compare the quality of responses from more than a dozen popular Large Language Models (LLMs) — To quote LangChain’s recent post, Conversational Retrieval Agents, “LLMs only know what they are trained on. To combat this, a style of generation known as “retrieval augmented generation” has emerged. In this technique, documents are retrieved and then inserted into the prompt, and the language model is instructed to only…

Learn how to build a chatbot that leverages Retrieval Augmented Generation (RAG) in 20 minutes — Introduction According to its creator, LogSpace, a software company that provides customized Machine Learning services, Langflow is a web-based UI for LangChain designed with react-flow. Langflow provides an effortless way to experiment and prototype flows. LangChain, created by Harrison Chase, is a wildly popular framework…

Learn how to turn your Langflow flow into a fully-functional Streamlit-based conversational chatbot application — Introduction According to its creator, LogSpace, a software company that provides customized Machine Learning services, Langflow is a web-based UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows. LangChain, created by Harrison Chase, is a wildly popular framework for developing applications powered by large…

Learn to use LangChain’s SQL Database Chain and Agent with large language models to perform natural language queries (NLQ) of Amazon RDS for PostgreSQL database — To paraphrase analytics workflow product vendor YellowFin, “Natural language query (NLQ), also known as natural language search, is a self-service business intelligence (BI) reporting capability that enables analytics users to ask questions of their data. …

Discover Redshift’s top performance features and latest capabilities to streamline your data analysis processes — Announced in November 2012, Amazon Redshift, according to AWS, is a fully managed cloud data warehouse service designed to quickly and cost-effectively analyze large datasets using existing SQL-based tools and business intelligence applications. …

Given similar functionality, what differences make one AWS-managed streaming service a better choice over the other — Data streaming has emerged as a powerful tool in the last few years, thanks to its ability to quickly and efficiently process large volumes of data, provide real-time insights, and scale and adapt to meet changing needs. …