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https://github.com/hunkim/es-gpt
https://github.com/hunkim/es-gpt
Last synced: 17 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/hunkim/es-gpt
- Owner: hunkim
- Created: 2023-02-19T08:26:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-15T04:01:59.000Z (over 1 year ago)
- Last Synced: 2024-10-04T10:35:52.794Z (about 1 month ago)
- Language: HTML
- Size: 40 KB
- Stars: 211
- Watchers: 6
- Forks: 32
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-chatgpt-api - Elasticsearch + GPT3 Answerer
README
# Elasticsearch + GPT3 Answerer
Want to turn your (elastic) search into something as hot as Bing + ChatGPT? Look no further than the Elasticsearch + GPT3 Answerer! Our program intercepts Elasticsearch results and sends them to GPT3 to provide accurate and relevant answers to your queries. Plus, it's just plain fun to use!
## Features
* Intercept Elasticsearch results and send them to GPT3 for more accurate answers
* Two installation options: all-in-one and on-the-fly
* Live demo available to see the program in action
It is designed to help users get more accurate and relevant answers to their queries, by leveraging the power of Elasticsearch and GPT3.
## Live Demo
Check out our live demo at https://es-gpt.sung.devstage.ai/ to see the Elasticsearch + GPT3 Answerer in action! Please note that the site may be unstable and we are currently using the text-ada-001 model for proof of concept, so the GPT answer may be poor. However, this demo shows the concept of how the Elasticsearch + GPT3 Answerer works.
## How it works
See this diagram.
## Installation
To use the Elasticsearch + GPT3 Answerer, you'll need to have access to both Elasticsearch and GPT3, as well as Python installed on your system. We offer two installation options:
### All-in-one installation
To use the all-in-one installation, follow these steps:
Clone this repository to your local machine.
```bash
$ git clone https://github.com/hunkim/es-gpt.git
$ cd es-gpt
```
Modify the .env for your Elasticsearch and GPT3 credentials and crawl_index.py file to index your documents.
```bash
$make crawl
```
Then, this will run the backend server:
```bash
$ make run
```
Then, visit the backend server. The web page will then intercept the Elasticsearch results and send them to GPT3 to provide a reasonable answer. This method is very fast, as the program embeds documents during indexing.
### On-the-fly installation
To use the on-the-fly installation, follow these steps:
Add the following scripts to your search page. See `static/p.html`. Specify the query, results, and gpt_answer output div IDs in your original search page:
```html
window.addEventListener("load", function () {
summarizeOnChange("query", "results", "gpt_answer");
});
```
Modify the .env with your Elasticsearch and GPT3 credentials.
Install the required dependencies by running the following command in your terminal:
```
$ make run
```
Run your search web enter a query. The program will intercept the HTML results and send them to GPT3 to provide a reasonable answer. This method is convenient, but slower, as the program embeds the search results and query on-the-fly.
## Contributing
We welcome contributions from the community! If you have ideas for how to improve the Elasticsearch + GPT3 Answerer, please open an issue or submit a pull request. We love hearing from fellow search enthusiasts!
## License
This program is licensed under the MIT License