Your
End-to-End
Collaborative
Open Source
End-to-End
End-to-End
Collaborative
Open Source
End-to-End
End-to-End
Collaborative
Open Source
End-to-End
End-to-End
Collaborative
Open Source
End-to-End
LLM Engineering Platform
Lexica provides integrated tools for prompt engineering, versioning, evaluation, and observability—all in one place
PROMPT REGISTRY
Version and Collaborate on Prompts
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Track prompt versions and their outputs
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Easily deploy to production and rollback
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Link prompts to their evaluations and traces
Use best practices to manage your prompts throughout their lifecycle. Systematically version your prompts and move them to production with a reliable record-keeping system. Easily connect all related information—including evaluations and traces— to your prompts.
OBSERVABILITY
Trace and Debug
Trace and Debug
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Debug outputs and identify root causes
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Identify edge cases and curate golden sets
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Monitor usage and quality
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Monitor usage of your application and use traces to continuously improve accuracy.
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Find edge cases and use them to curate golden sets.
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Debug challenging inputs and find root causes.
NEED HELP?
Frequently
asked questions
Frequently
asked questions
Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us.
What is Lexica?
Can I use Lexica with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Lexica?
What is Lexica?
Can I use Lexica with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Lexica?
What is Lexica?
Can I use Lexica with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Lexica?
What is Lexica?
Can I use Lexica with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Lexica?
Need a demo?
We are more than happy to give a free demo
Copyright © 2023-2060 Lexicatech UG (haftungsbeschränkt)
Need a demo?
We are more than happy to give a free demo
Copyright © 2023-2060 Lexicatech UG (haftungsbeschränkt)
Need a demo?
We are more than happy to give a free demo
Copyright © 2023-2060 Lexicatech UG (haftungsbeschränkt)