RAG Implementation for Enterprise

The AI brain of your company — one intelligence layer across all your data

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Retrieval-Augmented Generation (RAG) connects your AI to your actual company data — documents, emails, code, databases, CRM records. Instead of generic AI responses, your team gets precise answers grounded in your specific knowledge. Our RAG systems don't just retrieve — they analyze, find hidden connections, and proactively surface relevant information.

7 Data Connectors

Out-of-the-box integration with files, email, CRM, GitHub, Google Drive, Confluence, and cloud storage. Custom connectors available.

Knowledge Graph

Beyond simple vector search. We build knowledge graphs that capture relationships between documents, people, projects, and concepts.

Multi-Source Intelligence

Ask one question, get answers synthesized from multiple data sources. The system finds connections humans would miss.

Access Control

Enterprise-grade permission management. Users only see information they're authorized to access.

Use Cases

Employee Onboarding

New hires take 2 weeks to become productive

AI knowledge base answers any question instantly — onboarding drops to 1 day

Legal & Compliance

Searching through thousands of contracts takes hours

Semantic search finds relevant clauses in seconds with full context

Engineering Teams

Knowledge siloed in different tools and people's heads

Unified search across code, docs, Slack, and tickets — nothing gets lost

Customer Support

Agents search 5 different systems to answer one question

Single AI interface searches all knowledge bases simultaneously

Technology Stack

QdrantNeo4jPythonFastAPIMCP ServerClaude APIOpenAI EmbeddingsPostgreSQLMinIO

FAQ

What is RAG?

RAG (Retrieval-Augmented Generation) is a technique that connects AI language models to your specific data. When someone asks a question, the system first retrieves relevant documents from your knowledge base, then generates an answer grounded in that specific information — not generic training data.

How is this different from ChatGPT?

ChatGPT knows general information but nothing about your company. A RAG system knows your documents, processes, and history. It gives answers specific to your business, with citations to source documents.

Is our data secure?

Your data never leaves your infrastructure. We deploy on your servers or private cloud. All processing happens within your security perimeter. Enterprise access controls ensure users only see what they're authorized to access.

What data formats are supported?

PDF, Word, Excel, PowerPoint, Markdown, HTML, plain text, email (EML/MSG), code files, Confluence pages, Google Docs, and more. Custom parsers available for specialized formats.

Build Your AI Knowledge Base

See how RAG transforms your company's information into actionable intelligence.

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