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Category: Chatbot

  • Top 10 LLMs on Hugging Face for Chatbot & RAG Use (Early May 2025)

    Top 10 LLMs on Hugging Face for Chatbot & RAG This list is based on a combination of factors including general popularity, instruction-following capabilities, context window size, and community interest relevant to chatbot and Retrieval-Augmented Generation (RAG) applications. 1. mistralai/Mixtral-8x7B-Instruct-v0.1 Use Cases: Excellent for instruction following, complex reasoning in chatbots, and can handle long contexts Read more

  • Top 10 LLMs on Hugging Face & Use Cases: Part 2

    Another Top 10 LLMs on Hugging Face & Use Cases Another Top 10 Popular LLMs on Hugging Face & Their Use Cases Here’s another selection of popular and interesting Large Language Models available on Hugging Face, showcasing the diversity of the open-source LLM landscape as of early May 2025. 1. google/gemma-7b-it Use Cases: Instruction tuning, Read more

  • AI Agent with Short-Term Memory on AWS

    AI Agent with Short-Term Memory on AWS In the realm of Artificial Intelligence, creating agents that can effectively interact with their environment and solve complex tasks often requires equipping them with a form of short-term memory, also known as “scratchpad” or working memory. This allows the agent to temporarily store and process information relevant to Read more

  • Detailed Implementation of Backend-Only Advanced RAG with Multi-Hop Retrieval

    Detailed Implementation of Backend-Only Advanced RAG with Multi-Hop Retrieval This article provides a comprehensive guide to implementing a backend-only Retrieval-Augmented Generation (RAG) system enhanced with Multi-Hop Retrieval capabilities. This advanced technique, leveraging LangChain’s SelfQueryRetriever, OpenAI’s language models and embeddings, and ChromaDB for vector storage, enables more sophisticated question answering over a knowledge base. Understanding Multi-Hop Read more

  • Backend-Only Advanced RAG with Multi-Step Self-Correction

    Backend-Only Advanced RAG with Multi-Step Self-Correction Backend-Only Advanced RAG with Multi-Step Self-Correction This HTML document describes a backend-only implementation of a Retrieval-Augmented Generation (RAG) system featuring an advanced Multi-Step Self-Correction mechanism using Python, LangChain, OpenAI, and ChromaDB. Overview The goal of this project is to demonstrate how to build a RAG pipeline where the language Read more

  • Intelligent Chatbot with RAG using React and Python

    Intelligent Chatbot with RAG using React and Python This guide will walk you through building an intelligent chatbot using React.js for the frontend and Python with Flask for the backend, enhanced with Retrieval-Augmented Generation (RAG). RAG allows the chatbot to ground its responses in external knowledge sources, leading to more accurate and contextually relevant answers. Read more

  • Building an Intelligent Chatbot with React and Python and Generative AI

    Building an Intelligent Chatbot with React and Python Building an Intelligent Chatbot with React and Python This comprehensive guide will walk you through the process of building an intelligent chatbot using React.js for the frontend and Python with Flask for the backend, leveraging the power of Generative AI for natural and engaging conversations. We’ll cover Read more

  • Building a Simple Chatbot with React with Python Backend

    Building a Simple Chatbot with React with Python Backend This guide will walk you through the fundamental steps of creating a basic chatbot using React.js for the user interface and a conceptual backend. We’ll break down the process into manageable parts, explaining each stage with code examples. What is a Chatbot? At its core, a Read more

  • Building a Simple Chatbot with React and NodeJS

    Building a Simple Chatbot with React and NodeJS This guide will walk you through the fundamental steps of creating a basic chatbot using React.js for the user interface and a conceptual backend. We’ll break down the process into manageable parts, explaining each stage with code examples. What is a Chatbot? At its core, a chatbot Read more

  • Detailed Workflow for Claims Adjudication with AI Integration

    Detailed Workflow for Claims Adjudication with AI Integration The claims adjudication process is being significantly enhanced by the integration of Artificial Intelligence (AI) at various stages. The following workflow highlights where AI tools and techniques can be applied to improve efficiency, accuracy, and speed. Phase 1: Claim Submission and Initial Review – AI Assistance Step Read more