AnythingLLM Embed widget submodule for the main AnythingLLM application
Q/A using gemini-pro and next.js
This Chatbot helps farmers make informed decisions by leveraging the power of LLM Model from OpenAI.
Chat with GPT-4 turbo on any AWS page. Share your current screen with AI.
An intentionally vulnerable AI chatbot to learn and practice AI Security.
The open sourced AI chatbot app built with DBRX instruct API.
An interactive AI chatbot built with Streamlit and Groq API using the powerful llama-3.3-70b-versatile model. Features include a modern UI, memory toggle, and downloadable chat history. Ideal for testing LLMs or deploying a smart assistant in real-time.
Voice-based search and Q&A app for healthcare, aimed at delivering accurate, culturally relevant health info in India with strong safety and ethical standards.
A simple API chatbot that uses LlamaIndex and LlamaParse to read custom PDF data.
Ecommerce chatbot enhances the shopping experience by offering personalized recommendations, and seamless customer support.
LLM Chatbot for Staging Lung Cancer with DeepSeek R1 Model
LangSmith + OpenAI Chatbot (Streamlit · LangChain · Tracing Enabled) A modern, beautifully-designed AI chatbot built using OpenAI LLMs, LangChain prompt chaining, and LangSmith monitoring
Chatbot built with Flask and Bootstrap that delivers ChatGPT-style Markdown responses, including code blocks, lists, and headings. It features a clean, responsive UI with real-time chat and structured AI output using Google’s gemini-pro model.
Custom ai chatbot that user making decisions by leveraging the power of LLM model from OpenAI
Hands-on tutorials for Official LangChain.
simple generative ai enabled streamlit web application that converts text to speech and documents
Ask questions related to langchain course brought by Activeloop.
LLM chat bot for multimodal processing
A unified ETL (Extract, Transform, Load) and Machine Learning platform designed to streamline end‑to‑end data workflows. This project provides tools and components to extract data from multiple sources, transform and clean it into structured form, and load it into target systems, while also facilitating machine learning model training, evaluation.
AI assistant leveraging Retrieval-Augmented Generation (RAG) with LangFlow, Ollama, Google Gemini, and ChromaDB. This project demonstrates how to build scalable, context-aware chatbots for business use cases using semantic search, and advanced LLMs.
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