https://github.com/pandodao/botastic

An AI framework for building cool things.
https://github.com/pandodao/botastic

ai chatbot chatgpt llm

Last synced: about 2 months ago
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An AI framework for building cool things.

• Host: GitHub
• URL: https://github.com/pandodao/botastic
• Owner: pandodao
• Created: 2023-02-14T07:02:31.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-06-05T11:34:00.000Z (over 1 year ago)
• Last Synced: 2024-06-27T07:36:47.721Z (3 months ago)
• Topics: ai, chatbot, chatgpt, llm
• Language: Go
• Homepage: https://developers.pando.im/guide/botastic.html
• Size: 629 KB
• Stars: 211
• Watchers: 5
• Forks: 9
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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README

        
# Botastic

An AI framework for building cool things.

## 👀 Overview

![architecture](docs/arch.png)

## 💡 Motivation

- LLMs are fantastic for knowledge generation and reasoning as they're pre-trained on large amounts of publicly available data.

- In practice, we need LLMs to be able to reason about our own data. Fine-tuning them is often impractical. Embedding data into LLMs is a viable alternative, but requires domain expertise, and considerable effort to dealing with prompt limitations

- Botastic aims to make it easy to embed your own data into LLMs.

- Botastic also aims to provide out-of-the-box solutions to satisfy common use cases.

- It would to be easily integrated into existing systems and scalable to meet business requirements.

- We're building AI-based applications, we need Botastic to simplify the process.

## 🚀 Features

- [x] 🔌 Connect to OpenAI's LLM

- [x] 💾 Store and manage your own data as LLM's external brain

- [x] 🌐 Restful APIs 

- [x] 💬 Conversations management to help you build dialogue interface based applications

- [x] 🤖 Bot/Avatar management and builtin useful bots: emotion recognition, sentiment analysis, spam checker, etc. Please refer to [TBD].

- [ ] 🧩 Customize Middlewares to extend Botastic's functionality

- [ ] 💾 Store vectors in Postgres and other databases

- [ ] 📦 Better strategies to split the data and build text chunks

- [ ] 📤 Export data

- [ ] 🙋‍♂️ Support other LLMs

- [ ] 📚 Fine-tune own models

## Getting Started

1. visit [https://developers.pando.im/console/botastic](https://developers.pando.im/console/botastic) to get your API key/secret, and create a new bot.

2. run the following command to talk to Botastic

```bash

curl --location --request POST 'https://botastic-api.pando.im/api/conversations/oneway' \

--header 'X-BOTASTIC-APPID: YOUR_BOTASTIC_APP_ID' \

--header 'Content-Type: application/json' \

--data-raw '{

  "bot_id": YOUR_BOT_ID,

  "content": "How do you view the future of blockchain, and what benefits does it have for human being? Respond as short as possible like a Zen Master.",

  "category": "plain-text"

}'

```

## Documentation

Please refer to [Guide](https://developers.pando.im/guide/botastic.html) and [API Reference](https://developers.pando.im/references/botastic/api.html) for more details.

## Showcases

- [Ask Vitalik](https://ask-vitalik.xingchi.dev): A digital avatar of Vitalik Buterin.

- [Ask Scott Alexander](https://ask-scott.pages.dev/): A digital avatar of Scott Alexander.

  - The author also wrote a [blog post](https://fayezheng.hashnode.dev/effortlessly-develop-custom-chatbots-a-code-light-approach) about how she built it.

 

## Installation 

### Manually

Please refer to [docs/install.md](docs/install.md) for manual installation.

### Docker

TBD