This company offers a platform for building retrieval augmented generation (RAG) pipelines, allowing developers to integrate domain-specific knowledge into large language models. Their interface enables users to compose open-source models, manage deployments, and monitor performance metrics in real-time.
Funding
Funding not disclosed
Founders
Product
Problem
Integrating domain-specific knowledge into large language models (LLMs) typically requires expensive fine-tuning, creating a barrier to entry for many organizations. Building retrieval augmented generation (RAG) pipelines to address this issue involves composing complex systems, managing deployments, and monitoring performance, which can be time-consuming and resource-intensive.
Solution
OneContext provides a platform designed to streamline the creation and deployment of enterprise-grade RAG pipelines, enabling developers to augment LLMs with domain-specific knowledge without extensive fine-tuning. The platform simplifies the process of ingesting data from various file formats, including PDFs, Word documents, and PowerPoint presentations, using built-in OCR and preprocessing capabilities. It offers hybrid search functionality, combining semantic and keyword search with flexible metadata filters to deliver relevant results. OneContext automates infrastructure management, allowing developers to focus on domain expertise and application development rather than the complexities of deployment and scaling.
Target Audience
The primary target audience includes enterprise development teams seeking to integrate domain-specific knowledge into LLMs, as well as CTOs and DevOps teams looking to simplify RAG pipeline deployment and management.
Features
- Support for a broad range of file formats, including ingestion, OCR, and preprocessing
- Hybrid semantic and keyword search with flexible metadata filters
- Ability to define entire RAG pipeline in a single YAML file
- Version control for RAG pipelines, enabling easy rollback of changes
- Integration with various language models
- Python and TypeScript SDKs for building custom RAG pipelines
- CLI tool for managing RAG pipelines from the command line