hegelai / prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Why this job: topics: embeddings, vector-search
What it does
Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like _code_, _notebooks_, and a local _playground_.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 3,061
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.45
- Released 2 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 51% closed
- 30 still open
- Pull requests
- 52 merged
- 15 waiting
- Releases
- 5
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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| dair-ai / Prompt-Engineering-Guide | 80,006 | 8 months ago | MIT | No downloads |
| qdrant / fastembed | 3,291 | 15 days ago | Apache-2.0 | No downloads |
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- large-language-models
- machine-learning
- prompt-engineering
- python
- embeddings
- llms
- vector-search
- developer-tools
Project record
- JobRAG and search
- StatusListed
- Commits638
- Forks255
- Watching27
- Stars in 28 days+7
- CreatedJun 25, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026