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Compresr

OpenAI
Anthropic
Mistral

LLM-native context compression

About Compresr

Compresr is a context optimization solution that significantly reduces the number of tokens required for interacting with language models. By eliminating redundant information, Compresr preserves essential tokens, allowing for faster and more accurate responses, while lowering usage costs. This technology is ideal for teams using natural language processing, search, or question-and-answer pipelines. With its question-aware compression capability, Compresr boosts efficiency while maintaining response quality. With easy installation via API or an on-premise hosting option, Compresr adapts to the needs of every business.

Source: Compresr official website

Key Features

Query-specific compression

preserves tokens relevant to your question

Aggressive compression

compresses up to 200x for RAG, search, and Q&A

Hosted mode

easy installation with one API key

On-prem deployment

your data stays within your network

Dedicated support

personalized assistance for your needs

Transparent tokens

clear pricing per million tokens

Compatibility with TypeScript and Python
Ready for improvement

better accuracy and speed

Free credits

$10 in credits upon sign-up, no credit card required

Cost savings

reduces costs by up to 76%

Practical Use Cases

Optimize RAG workflows to reduce costs
Improve search accuracy by eliminating noise
Accelerate response times of language models
Starting from
0.1€/month
usage-based
Visit
API
Mobile App