(PoC) Stackable AI for Docs: AI which can be asked about things you would look up in our documentation
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- elasticsearch
- Domain
- ai, documentation, search
Research direction
Start by turning the checklist into a concrete PoC plan, comparing Haystack, Elasticsearch/OpenSearch, the documentation scraper, and the proposed OpenAI or data-sovereign model options. Done means an agreed scope and a working proof of concept that answers questions from the documentation.
Written by the indexing model from the issue text.
Description
This List is not exhaustive, just a collection of things we can think about right now:
- Pipeline based on Haystack
- Switch from elastic to opensearch
- Change the scraper from the documents to scrape our docs
- Check if and how we want to use OpenAI's ChatGPT or switch to data sovereign models (like those hosted at IONOS)
I guess it is about a week to have a PoC. I would really love it.
- Dominant language
- CSS
- Stars
- 13
- Forks
- 14
- Avg merge
- 4d 8h
- Merged PRs (30d)
- 10
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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