UnForm
UnForm offers a robust solution for enterprise document management and process automation, allowing for seamless integration with any application. Our platform-independent and fully browser-based solutions empower users to create, deliver, capture, index, route, and store documents efficiently, enabling easy access to the entire transaction life cycle through a single search. With advanced data extraction and workflow functionalities, we facilitate the automation of processes that require intensive data entry.
For those utilizing cloud-based ERP systems or seeking a solution that eliminates the need for hardware management, UnForm.Cloud serves as an ideal hosting service for UnForm Document Management. The implementation process for UnForm has never been simpler, especially with the reliable backing of a well-established hosting vendor like Oracle, which guarantees the safety and security of your data through meticulously managed data centers and cross-region backups. This ensures that you can consistently access your information whenever necessary, providing an additional layer of reliability for your document management needs.
Learn more
MongoDB Atlas
MongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.
Learn more
Qdrant
Qdrant operates as an advanced vector similarity engine and database, providing an API service that allows users to locate the nearest high-dimensional vectors efficiently. By leveraging Qdrant, individuals can convert embeddings or neural network encoders into robust applications aimed at matching, searching, recommending, and much more. It also includes an OpenAPI v3 specification, which streamlines the creation of client libraries across nearly all programming languages, and it features pre-built clients for Python and other languages, equipped with additional functionalities. A key highlight of Qdrant is its unique custom version of the HNSW algorithm for Approximate Nearest Neighbor Search, which ensures rapid search capabilities while permitting the use of search filters without compromising result quality. Additionally, Qdrant enables the attachment of extra payload data to vectors, allowing not just storage but also filtration of search results based on the contained payload values. This functionality significantly boosts the flexibility of search operations, proving essential for developers and data scientists. Its capacity to handle complex data queries further cements Qdrant's status as a powerful resource in the realm of data management.
Learn more
Azure AI Search
Deliver outstanding results through a sophisticated vector database tailored for advanced retrieval augmented generation (RAG) and modern search techniques. Focus on substantial expansion with an enterprise-class vector database that incorporates robust security protocols, adherence to compliance guidelines, and ethical AI practices. Elevate your applications by utilizing cutting-edge retrieval strategies backed by thorough research and demonstrated client success stories. Seamlessly initiate your generative AI application with easy integrations across multiple platforms and data sources, accommodating various AI models and frameworks. Enable the automatic import of data from a wide range of Azure services and third-party solutions. Refine the management of vector data with integrated workflows for extraction, chunking, enrichment, and vectorization, ensuring a fluid process. Provide support for multivector functionalities, hybrid methodologies, multilingual capabilities, and metadata filtering options. Move beyond simple vector searching by integrating keyword match scoring, reranking features, geospatial search capabilities, and autocomplete functions, thereby creating a more thorough search experience. This comprehensive system not only boosts retrieval effectiveness but also equips users with enhanced tools to extract deeper insights from their data, fostering a more informed decision-making process. Furthermore, the architecture encourages continual innovation, allowing organizations to stay ahead in an increasingly competitive landscape.
Learn more
