ChatGPT vs RAGs
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. | It is a Streamlit app that allows you to create and customize your own RAG pipeline and then use it over your data — all with natural language! This means you can now setup a “ChatGPT over your data” without needing to code. |
Interacts in a conversational way;
Answers follow-up questions;
Admits its mistakes;
Challenges incorrect premises;
Rejects inappropriate requests | Describe your task and the parameters you want from your RAG systems;
Go into the config view and view/alter generated parameters as needed;
Query the RAG agent over data with your questions |
Statistics | |
GitHub Stars - | GitHub Stars 6.5K |
GitHub Forks - | GitHub Forks 665 |
Stacks 476 | Stacks 4 |
Followers 395 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to ChatGPT, RAGs?
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Glide
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Auto-GPT
It is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.
GPT4All
It is an ecosystem to run powerful and customized large language models that work locally on consumer-grade CPUs and any GPU.
privateGPT
Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection.
Chart-GPT
It is an open-source project designed to make the process of creating charts easy. You can use this tool to generate charts based on your data.
GPT Engineer
It is the open platform for devs to tinker with and build their personal code-generation toolbox. It is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
Agents
It is an open-source library/framework for building autonomous language agents. The library is carefully engineered to support important features including long-short term memory, tool usage, web navigation, multi-agent communication, and brand new features including human-agent interaction and symbolic control.
Open Interpreter
It lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing.
Phind
It is a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations.
