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ShapedAi is a powerful business tool designed to help business managers build retrieval and ranking systems with ease. This tool offers a range of components for recommendations, search, and chat functionalities, making it a versatile solution for various business needs.
With ShapedAi, users can leverage the Ingest feature to seamlessly ingest data from a variety of sources including PostgreSQL, BigQuery, Snowflake, MongoDB, Amplitude, MySQL, Amazon Kinesis, and more. This enables users to stream data in real-time, build and update user and item understanding, store and share features, and pull all data into ShapedAi without the need to build ETL pipelines.
The Train feature of ShapedAi allows users to build state-of-the-art user understanding with a model library that includes LLM rankers, two tower architectures, tree models, and more. Continuous training and GPU training options ensure that models stay relevant and are trained efficiently for faster results.
When it comes to deployment, ShapedAi offers real-time inference capabilities suitable for applications that require low request latencies, cost-efficient hosting for scalable ranking models, and dynamic scaling to meet demand for thousands of requests per second.
The Evaluate feature of ShapedAi enables users to evaluate model performance with offline and online metrics, conduct A/B testing, gain insights through user and item drill-down analyses, and visualize embeddings for better understanding.
Overall, ShapedAi is designed to help businesses double engagement, increase conversions, and improve retention rates. With easy-to-use APIs powered by PyTorch and instant deployment options, this tool is ideal for developers looking for an end-to-end embeddings infrastructure for ranking. Additionally, ShapedAi offers white-glove support, secure by design features, and integration with popular tools like Slack, making it a comprehensive solution for businesses looking to enhance their retrieval and ranking systems.
ShapedAi – Features
- Ingest: Stream data in real-time from various sources without building ETL pipelines
- Train: Build state-of-the-art models with continuous training and GPU support
- Deploy: Real-time inference for < 200ms latency, cost efficient and scalable
- Evaluate: Evaluate model performance with offline and online metrics, user/item drill-down, and embeddings visualization –
- Model library: Includes LLM rankers, two tower architectures, tree models and more
- Easy-to-use APIs powered by PyTorch for instant deployment – Connects directly to various data sources for real-time data ingestion in seconds
ShapedAi – Pricing
Available upon request, free trial.
Visit shaped.ai for more.
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