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Slangit's KBaaS is an AI-engine developed to enable organizations (Government and Enterprises) to retrieve information from their data using various forms of knowledge retrieval techniques.
Slangit's KBaaS is a cloud or on-premise, AI-engine that enables organizations (Governments and Enterprise) to ingest, structure, and serve their knowledge across internal and external touchpoints. It transforms static documents, data silos, and fragmented systems into a unified, query-able intelligence engine—accessible through APIs or a user interface. Built on modern architectures enabling various types of knowledge retrieval from naive to hybrid RAG including Graph RAG , KBaaS dynamically indexes structured and unstructured data, supports semantic understanding in multiple languages (including Arabic dialects), and provides real-time answers, insights, and workflows agnostically connecting to various language models (proprietary, open-source or fine-tuned).
Slangit KBaaS has its dedicated Knowledge Base that runs on-premise. The knowledge base supports a wide variety of knowledge representation and retrieval mechanisms to cater to the diverse needs of today's AI chatbots. The modular design and architecture enable future extendibility and scalability.
Slangit KBaaS can detect various types of patterns within the data, such as dense relational information, hierarchical information, or simple flow of information. It contains implementations for cutting-edge technologies that can treat this variety very well. The knowledge representation and retrieval mechanism is designed in a way that it can provide the proper context to answer the user's query, regardless of the subtlety and sophisticated nuances of the human language, at low latency.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.
The Slangit KBaaS (Knowledge Base as a Service) is a comprehensive platform that allows organizations to upload proprietary documents and data repositories to create an intelligent, multilingual information retrieval system. It uses Generative AI to understand context and provide accurate, real-time responses based on your organization's specific data
A "Space" is a dedicated, isolated knowledge repository within the platform. Teams create Spaces to segment different types of information or knowledge domains. Each Space functions as a distinct data store where you can upload specific documents, define use cases, and control access at both the team and individual user levels.
Slangit's KBaaS is compatible with all major completion models from proprietary models such as OpenAI and Google Gemini to self-hosted open-source like Llama and Mistral.
You need both GPUs and CPUs to ingest, search and retrieve data on Slangit's KBaaS. A10 GPUs can ingest nearly 1M pages per month. An A100 can ingest more than 150M. Detailed specs will be provided separately.