Knowledge Retrieval for Enterprise AI
Transform enterprise documents, Notion pages, and GDrive repositories into a high-performance knowledge source. Smarter agents start with better retrieval.
The Problem with Stale LLM Data
Fragmented knowledge stored in PDFs, Notion, and Wikis.
Hallucinations and outdated information from generic models.
Concerns about data privacy when feeding documents into public APIs.
Advanced Retrieval Features
- Deep embedding and retrieval across millions of documents with sub-second latency. Maintain your organization's context with high precision.
- Equip your AI agents with a persistent memory. They remember past interactions and user-specific preferences to provide better assistance over time.
- Connect your documents from PDF, Notion, Google Drive, and more. KNetAI provides a unified interface to your organization's collective intelligence.
Transform Your Data into Actionable Intelligence
KNetAI Smart RAG is more than a simple search engine. It's a sophisticated system for turning unstructured information into structured, queryable knowledge.
Precision Embeddings
We use industry-leading embedding models and advanced chunking strategies to ensure that your agents find exactly the right information—no matter how many documents you have.
Secure & Internal
With KNetAI, you can choose to run your embeddings and retrieval locally. Your documentation doesn't have to leave your infrastructure, ensuring full compliance and data sovereignty.
Unlock the value of your internal knowledge
Join the enterprises building smart agents on KNetAI Smart RAG. Start your first knowledge base in minutes.