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Trieve Vector Inference
Overview :
Trieve Vector Inference is an on-premises vector inference solution designed to address the issues of high latency and high failure rates in text embedding services. It allows users to host dedicated embedding servers in their own cloud, enabling faster text embedding inference. This product helps enterprises reduce their dependency on external services and improve data processing speed and efficiency by providing high-performance on-premises inference services.
Target Users :
Target audience includes enterprise users who require fast and efficient processing of large volumes of text data, particularly companies with high demands for data security and processing speed. Trieve Vector Inference enhances data processing efficiency for these enterprises by providing low-latency on-premises inference services, reducing reliance on external services while improving data security and control.
Use Cases
Companies use Trieve Vector Inference for processing chatbot text in customer service to improve response speed and accuracy.
Data analytics firms leverage Trieve Vector Inference for rapid analysis of large-scale text data to support decision-making.
Research institutions utilize Trieve Vector Inference for vector inference of academic literature to accelerate research progress.
Features
Fast vector inference: Provides low-latency vector inference services to enhance data processing speed.
On-premises deployment: Supports deployment in the user's own cloud environment, enhancing data security and control.
High-performance benchmarking: Uses the wrk2 tool to conduct performance tests under various loads, ensuring service stability.
Multiple deployment options: Supports deployment on various cloud platforms including AWS, flexibly adapting to different user needs.
Rich API endpoints: Offers a variety of API endpoints including /embed and /rerank for easy integration and use.
Custom model support: Allows users to utilize custom models for vector inference to meet specific business needs.
Community support: Provides technical support and a communication platform through community channels such as Discord.
How to Use
1. Register and log in to the Trieve platform to create an account.
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2. Follow the documentation to deploy Trieve Vector Inference on AWS or other supported cloud platforms.
3. Use API endpoints such as /embed to upload text data and obtain vector inference results.
4. Configure and use custom models for more precise vector inference as needed.
5. Optimize inference results and improve accuracy using API endpoints like /rerank.
6. Resolve any issues encountered during usage through community support channels.
7. Adjust deployment configurations based on business needs to optimize performance.
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