Remember clippy? Meet bricky!

Bricky is a conversational bot using Retrieval-Augmented Generation with some help from OpenAI's GPT-3 LLM.

Bricky indexes content stored in markdown files and vectorizes it using OpenAI embeddings. It then uses few-shot learning using a ChatGPT prompt to generate an answer based on relevant content.

Read more about my journey into this field and the background for creating Bricky in my blog article

The project is inspired by the awesome HoustonAI by Astro

Provide these env variables for the api container by creating a dotenv file in api/.env

OPENAI_KEY=<YOUR OPENAI KEY GOES HERE>

1. Clone this repo!
2. Copy over your documentation to api/sources
3. Run docker-compose: docker-compose up

You should now have two endpoints running:

• The Nextjs-based frontend: Open http://localhost:3000 to meet Bricky.
• The Haystack-based API: Open http://localhost:8080/docs with your browser to see the OpenAPI documentation.

Note: if you make changes to the any files, i.e. api/.env or the docs in sources/docs, you need to rebuild the images: docker-compose rebuild --no-cache.

To learn more about Haystack and OpenAI, take a look at the following resources:

• Haystack Documentation - learn about the Haystack platform by deepset.ai.
• OpenAI docs - the OpenAI docs site.

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

• Frontend implementation can be found here.
• Backend implementation can be found here.

Questions or comments? Reach out to @larsbaunwall

Don't forget to ⭐ this repo!