Overall Score
21
Top 25%
of AI companies
by LMQL🇨🇭
LMQL is a query language designed specifically for large language models (LLMs). It combines the natural language prompts with the expressiv
LMQL is a query language designed specifically for large language models (LLMs). It combines the natural language prompts with the expressiveness of Python to facilitate the interaction with LLMs. The tool provides various features such as constraints, debugging, retrieval, control flow, and support...
Overall Score
21
Top 25%
of AI companies
Overall Score
21
GitHub Stars
4K
Monthly Visits
4K
Community Rating
5.0
LMQL is a query language designed specifically for large language models (LLMs). It combines the natural language prompts with the expressiveness of Python to facilitate the interaction with LLMs. The tool provides various features such as constraints, debugging, retrieval, control flow, and support...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
GitHub repo created
| Keyword | Volume / Mo | CPC |
|---|---|---|
| programming language for llms | 140 | — |
| foldable llm programming lanugega | 120 | — |
| lmql | 550 | — |
| llalm.cpp models l | 80 | — |
| lmql / guidance | 10 | — |
LMQL is a query language designed specifically for large language models (LLMs). It combines the natural language prompts with the expressiveness of Python to facilitate the interaction with LLMs. The tool provides various features such as constraints, debugging, retrieval, control flow, and support...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
GitHub repo created
Six signals, each 0–100, blended into the overall by their listed weight.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| programming language for llms | 140 | — |
| foldable llm programming lanugega | 120 | — |
| lmql | 550 | — |
| llalm.cpp models l | 80 | — |
| lmql / guidance | 10 | — |
Saves
10.6K
Rating
5.0
1 review
Views
4.4K
Category
Models
Pros · 53
Cons · 10
Rating distribution
User reviews · 1
I have used this for several personal assistant applications and it works amazingly. Obviously it is still restricted to the flaws of any model you are using it with, but the ability to constrain prompts is incredibly helpful (especially when it comes to getting things like JSON format from the AI).
Release history · 1+
Initial release of Lmql.
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