Generative AI with Team Specific Knowledge
12
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The onyx-dot-app organization on GitHub showcases a diverse array of projects primarily in Python, JavaScript, and TypeScript. Notable repositories include onyx, an open-source AI platform, and EnterpriseRAG-Bench, which focuses on dataset benchmarking for company documents. Their public presence highlights a commitment to generative AI with team-specific knowledge.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Dataset and benchmark for RAG on company internal documents.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
No description provided for this repository.
Secure and lightweight Python code execution environment for LLMs
No description provided for this repository.
Onyx Submission for Deep Research Benchmark
A wiki app to supercharge human/agent collaboration. A self-updating knowledge base.
Onyx UI Component Library
Benchmarking agentic RAG on workplace questions - LLM-as-judge prompts and scores
This will house vespa helm charts.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
On GitHub, onyx-dot-app builds various projects related to generative AI, including the onyx repository, which serves as an open-source AI platform. They also develop tools for internal document handling and collaboration.
onyx-dot-app primarily uses Python, JavaScript, TypeScript, and MDX for their repositories. These languages support their development of AI platforms, documentation, and various tools.
Yes, all repositories under the onyx-dot-app organization are public. This allows open access to their projects, fostering collaboration and transparency in their development efforts.
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