DenserRetriever is an enterprise-grade AI retrieval tool designed to facilitate the integration of AI into applications, offering features such as keyword search and vector database capabilities. It supports rapid prototyping and scalability, ensuring high accuracy and performance for AI applications like chatbots and search systems. The platform is open-source and provides various pricing plans, including a free tier and customizable enterprise options.
Enterprise-grade AI retriever designed for seamless AI integration and accuracy.
Supports rapid prototyping for AI applications, including chatbots and search systems.
Scalable architecture to handle robust and responsive applications under load.
Open-source with easy setup for running a DenserRetriever instance.
Integration with XGBoost for effective combination of heterogeneous retrievers.
Rapid prototyping of AI applications, such as chatbots or search systems.
Integration with Elasticsearch and Milvus for keyword and vector database searches.
Customizable configurations for enterprise-grade applications.
Benchmarking for state-of-the-art accuracy in retrieval tasks.
User account management for accessing advanced features and support.
Rapid prototyping allows users to quickly build and test AI applications, enhancing development speed.
Ensures cutting-edge accuracy for AI applications, improving the quality of results.
Scalable architecture supports robust performance under high load, making it suitable for enterprise needs.
Open-source nature enables easy deployment and customization with minimal setup.
Integration with advanced machine learning techniques, such as XGBoost, enhances retrieval effectiveness.
Free Plan: $0, includes 5M tokens, 200 API calls/month, 5MB max file size, basic retrieval testing, and limited customer support.
Enterprise Plan: Custom pricing, includes custom tokens, custom API calls, advanced data sources, advanced retriever testing, fully customizable configurations, and custom customer support.
Yearly Subscription: 20% discount compared to monthly pricing.