The Problem with Knowledge-Free Agents
Without access to specific information, AI agents can only rely on their general training data. This leads to:- Generic responses that don’t match your specific context
- Outdated information from training data that’s months or years old
- Hallucinations when the agent guesses at facts it doesn’t actually know
- Limited usefulness for domain-specific tasks or company-specific workflows
Real-World Impact
Intelligent Text-to-SQL Agents
Build agents that know your exact database schema, column names, and common query patterns. Instead of guessing at table structures, they retrieve the specific schema information needed for each query, ensuring accurate SQL generation.Customer Support Excellence
Create a support agent with access to your complete product documentation, FAQ database, and troubleshooting guides. Customers get accurate answers instantly, without waiting for human agents to look up information.Internal Knowledge Assistant
Deploy an agent that knows your company’s processes, policies, and institutional knowledge. New employees can get onboarding help, and existing team members can quickly find answers to complex procedural questions.Ready to Get Started?
Transform agents from generic assistants to domain experts:How It Works
The RAG pipeline behind intelligent knowledge retrieval
Build Your First Agent
Create a knowledge-powered agent in minutes
Knowledge with Agents
Give single agents searchable domain knowledge
Knowledge with Teams
Coordinate distributed knowledge across team members
Terminology
Key concepts: embeddings, chunks, and retrieval