Using comments from r/relationship _advice to create a retrieval based chatbot.

This project implements document ingestion, embedding generation, and retrieval-augmented generation (RAG). If you are looking for a small project to understand the implementation of basic RAG then this project is good to go.

I employ techniques such as tf-idf scoring, word embedding models, and custom user-defined functions to create an interactive chatbot capable of answering a wide range of questions from restaurant diners.

AI-powered chatbot using RAG with source verification. Provides insights on books using Goodreads and Reddit reports generated by LearnSherpa_AI.

Retrieval Based Chatbot for the college. I have developed this demo chatbot for the Herald College Kathmandu. This chatbot can be more enhanced. We can also made it hybrid chatbot. One example of Hybrid Chatbot is :- https://www.youtube.com/watch?v=Z0FcYLuloWI&t=11s

A basic chatbot using sequential neural network from keras using a json dataset.

A dummy chatbot of Swiggy's retrieval-based chatbot using NLP

A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.

Vistaprint Chatbot: Vistaprint chatbot is a conversational software agent that can work with the customer to help him make customised products on the go. The bot can accept photographs from the customer and provide feedback, recommend products, taglines and guide the customer through the process of designing the products and finally placing the …

This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit

ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.

Dive into the brand new OpenAI Assistant API, focusing on tools like retrieval and functions.

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

Code and created datasets for our ACL 2022 paper: "Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations"

Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.

Source code for our EMNLP19 paper "Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework"

The sources codes of the DR-BERT model and baselines

[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features