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Category: Chatbot

  • Comparing Top LLMs

    Comparing Top LLMs (April 2025) The landscape of Large Language Models (LLMs) is constantly evolving. Here’s a comparison of some of the top contenders as of late April 2025, keeping in mind that rankings & capabilities can shift rapidly: Top 8 LLMs (Based on Current Trends & Capabilities): GPT-4o (OpenAI): Known for its strong general Read more

  • SoundHound AI and Its Competitors

    SoundHound AI and Its Competitors (2025) SoundHound AI (SOUN) Overview: SoundHound AI is a company that specializes in voice and conversational artificial intelligence (AI) solutions. Their technology is used in various industries, including automotive, TV, IoT (smart devices), restaurants, customer service, healthcare, finance, and retail. They offer products like Smart Answering, Smart Ordering, Dynamic Drive Read more

  • Building a Personalized Banking Chat Agent with React.js, RAG, LLM, and Redis with sample code

    Here we outline a more detailed structure with conceptual sample code snippets for each layer of a conceptual personalized bank FAQ chat agent. Keep in mind that this is a simplified illustration, and a production-ready system would involve more robust error handling, security measures, and integration logic. I. Knowledge Base Preparation: Step 1: Data Collection Read more

  • Intelligent Chat Agent UI with Retrieval-Augmented Generation (RAG) and a Large Language Model (LLM) using Amazon OpenSearch

    In today’s digital age, providing efficient and accurate customer support is paramount. Intelligent chat agents, powered by the latest advancements in Natural Language Processing (NLP), offer a promising avenue for addressing user queries effectively. This comprehensive article will guide you through the process of building a sophisticated Chat Agent UI application that leverages the power Read more

  • k-NN (k-Nearest Neighbors) search in OpenSearch

    To perform a k-NN (k-Nearest Neighbors) search in OpenSearch after loading your manuals (or any documents) as vector embeddings, you’ll use the knn query within the OpenSearch search API. Here’s how you can do it: Understanding the knn Query The knn query in OpenSearch allows you to find the k most similar vectors to a Read more

  • Retrieval Augmented Generation (RAG) with LLMs

    Retrieval Augmented Generation (RAG) is a technique that enhances the capabilities of Large Language Models (LLMs) by enabling them to access and incorporate information from external sources during the response generation process. This approach addresses some of the inherent limitations of LLMs, such as their inability to access up-to-date information or domain-specific knowledge. How RAG Read more