A Flask Server Demo Application showing off some llama-index LLM prompt magic, including file upload and parsing :)

A Web-UI for Llama_index. Allow ChatGPT to access your own database.

PromptPal: An AI-powered command-line assistant built using LlamaIndex & OpenAI Chat Model over custom data

a QA bot on contents of given docs 用所给文档进行问答的聊天机器人

FastAPI + Hugging Face Transformers + LlamaIndex

Playing around with LLMs

Prototype chatbot which allows user to query and interact with uploaded pdf. Uses llama-index and openAI gpt-3.5-turbo api

To examine, interpret and analyze the details and evidence you want from crime files

MVP to index and query scientific papers using llama-index and ChatGPT. Allows you to chat with a paper.

Generate documentation using Hugging Face embeddings and local LLMs

Load a PDF file and ask questions via llama_index and GPT

An experimental architecture for composing actions from simple learning agents to produce complex behavior.

Taking advantage of LlamaIndex's in-context learning paradigm, LlamaDoc empowers users to input PDF documents and pose any questions related to the content. The tool leverages the LLama Index's reasoning capabilities to provide intelligent responses based on the contextual understanding of the LLM.

An OpenAI GPT-powered chatbot utilizing deforum stable diffusion to aid developers in efficiently searching through documentations.

This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.

There is a new, more advanced solution in here: https://github.com/hanit-com/azure-openai-conversational-chatbot.git.

The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.

Using open-source Llama2 as an alternate to OpenAI

A web app built with Streamlit that allows you to chat with your databases using a GPT model.

AI chat app to response data in Markdown format with text and images. Tutorial from: https://youtu.be/qKtM2AlDTs8