RAG Engine
AI Knowledge Platform

The Intelligence Layer for Your Entire Organization

RAG Engine is the AI infrastructure platform that turns your documents, databases, and APIs into intelligent applications. From chatbots to automated reports to workflow automation — powered by hybrid search, neural reranking, and agentic reasoning.

No credit card requiredDeploy in minutes
500+Organizations
10M+Queries Processed
99.9%Uptime
4.9/5Rating

See RAG Engine in Action

Watch how teams connect their data and build intelligent applications in minutes

Enterprise-Grade RAG Infrastructure

The retrieval and reasoning engine that powers your AI applications — not just chatbots

More Than a Chatbot Builder

RAG Engine provides the full AI infrastructure stack — not just a chat widget

CapabilityRAG EnginePineconeVectaraDify
Hybrid Search (BM25 + Vector)PartialPartial
Neural Reranking
Agentic RAGPartial
Knowledge Graph
PII Redaction
SSO / 2FAPartialPartialPartial
100+ LanguagesPartialPartial
Self-Hosted Option

One Platform, Unlimited Applications

Chatbots are just the beginning. Teams use RAG Engine to power search, automate workflows, analyze documents, and build custom AI applications.

From Data to Intelligence in Minutes

Three steps to build AI-powered applications on your data

1

Connect Your Data

Upload documents, crawl websites, or connect databases and SaaS platforms. We handle chunking, embedding, and indexing automatically.

2

Configure Intelligence

Choose your AI model, configure retrieval settings, enable reranking and knowledge graphs. Fine-tune for your use case.

3

Deploy Anywhere

Embed a chat widget, integrate via REST API, connect to Slack, or trigger workflows. Your AI, your way.

Trusted by Engineering Teams

"RAG Engine replaced our Pinecone + LangChain setup with a single platform. Hybrid search finally solved our exact-match problem with case numbers and product codes."

SC

Sarah Chen

VP Engineering, TechCorp

"We evaluated 5 RAG platforms. Only RAG Engine had the infrastructure features we needed — reranking, knowledge graphs, PII redaction, and SSO — all in one."

MT

Michael Torres

Head of AI, DataFlow

"We use RAG Engine for customer support, internal knowledge base, AND automated reporting. It's our AI infrastructure layer, not just a chatbot tool."

JW

Jennifer Wu

CISO, FinanceFirst

Frequently Asked Questions

Build Your AI Infrastructure Today

Join hundreds of organizations using RAG Engine as their AI knowledge layer. From chatbots to search to automation — start building in minutes.

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