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https://github.com/samuraigpt/embedai
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
https://github.com/samuraigpt/embedai
chatbot chatgpt embedai embeddings generative gpt gpt4 gpt4all langchain models openai privategpt vectorstore whisper
Last synced: about 15 hours ago
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An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
- Host: GitHub
- URL: https://github.com/samuraigpt/embedai
- Owner: SamurAIGPT
- License: mit
- Created: 2023-05-25T14:21:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-18T14:44:48.000Z (over 1 year ago)
- Last Synced: 2024-10-29T17:36:05.207Z (3 months ago)
- Topics: chatbot, chatgpt, embedai, embeddings, generative, gpt, gpt4, gpt4all, langchain, models, openai, privategpt, vectorstore, whisper
- Language: JavaScript
- Homepage: https://www.thesamur.ai/?utm_source=github&utm_medium=link&utm_campaign=github_privategpt
- Size: 96.7 KB
- Stars: 2,782
- Watchers: 35
- Forks: 301
- Open Issues: 41
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# PrivateGPT
Create a QnA chatbot on your documents without relying on the internet by utilizing the capabilities of local LLMs. Ensure complete privacy and security as none of your data ever leaves your local execution environment. Seamlessly process and inquire about your documents even without an internet connection. Inspired from [imartinez](https://github.com/imartinez)
## Contents
* [Getting started](#getting-started)
* [Requirements](#requirements)
* [How to run](#how-to-run)
* [Support](#support)
* [Data](#data)
* [Check repos](#check-repos)
## Getting started
Code is up, ⭐ (Star) the repo meanwhile to receive updates
Follow [Anil Chandra Naidu Matcha](https://twitter.com/matchaman11) & [Ankur Singh](https://twitter.com/ankur_maker) on twitter for updates
## Requirements
* Python 3.8 or later
* NodeJS v18.12.1 or later
* Minimum 16GB of memory
## How to run
1. Go to client folder and run the below commands
```shell
npm install
```
```shell
npm run dev
```
2. Go to server folder and run the below commands
```shell
pip install -r requirements.txt
```
```shell
python privateGPT.py
```
3. Open , click on download model to download the required model initially
4. Upload any document of your choice and click on Ingest data. Ingestion is fast
5. Now run any query on your data. Data querying is slow and thus wait for sometime
## Support
Join our discord to get support
## Data
The supported extensions for documents are:
* .csv: CSV,
* .docx: Word Document,
* .enex: EverNote,
* .eml: Email,
* .epub: EPub,
* .html: HTML File,
* .md: Markdown,
* .msg: Outlook Message,
* .odt: Open Document Text,
* .pdf: Portable Document Format (PDF),
* .pptx : PowerPoint Document,
* .txt: Text file (UTF-8),
## Check repos
* [Langchain Course](https://github.com/SamurAIGPT/langchain-course)
* [ChatGPT Developer Plugins](https://github.com/SamurAIGPT/ChatGPT-Developer-Plugins)
* [Camel AGI](https://github.com/SamurAIGPT/Camel-AutoGPT)