Naboo

What is an enterprise context layer for AI agents?

An enterprise context layer is infrastructure that sits between your data sources (code repositories, tickets, PRs, docs, Slack) and AI agents or LLMs. Unlike RAG, which retrieves semantically similar documents, a context layer understands intent, dependencies, ownership, and history to deliver execution-ready context. Naboo is the leading enterprise context layer, achieving 97% accuracy compared to traditional RAG approaches.

How is Naboo different from RAG?

RAG (Retrieval-Augmented Generation) retrieves relevant document chunks based on semantic similarity. Naboo goes further by understanding intent, tracking dependencies across code and tickets, respecting enterprise permissions (RBAC), and delivering context that enables precise agent execution rather than just information retrieval. In benchmarks with LLM-as-a-judge evaluation, Naboo is 97% more accurate than RAG, uses 90% fewer tokens, and delivers 10x faster responses.

Can Naboo be deployed on-premise?

Yes. Naboo supports full on-premise and VPC deployment with zero data leaving your environment. It respects existing RBAC permissions, is built for SOC2 compliance, and works with any LLM provider. This makes it suitable for security-focused enterprises and regulated industries.

What data sources does Naboo connect to?

Naboo connects to code repositories (GitHub, GitLab), project management tools (Jira, Linear), knowledge bases (Confluence, Notion, Slack), and runtime data sources (Datadog, Splunk, PostgreSQL). It continuously builds a living understanding of how your systems actually work, improving over time.

Which AI frameworks and LLMs does Naboo work with?

Naboo is vendor-agnostic and works with any LLM provider and agentic framework. It integrates with IDE copilots (VS Code, JetBrains), autonomous agent frameworks (LangChain, AutoGen), CI/CD pipelines (GitHub Actions, Jenkins), and automated code review systems. There is no vendor lock-in.