gerev.ai vs RAGs
Overview
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Detailed Comparison
It is an AI-powered internal search engine for your organization. Find any conversation, doc, or internal page in seconds. It enables searching using natural language, such as "How to do X", "how to connect to Y", "Do we support Z". | 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. |
Made for devs;
Find internal pages fast;
Troubleshoot Issues;
Search using natural language | 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 2.8K | GitHub Stars 6.5K |
GitHub Forks 179 | GitHub Forks 665 |
Stacks 1 | Stacks 4 |
Followers 4 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to gerev.ai, RAGs?
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Glide
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ChatGPT
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Auto-GPT
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GPT4All
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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.
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.
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.
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.
