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AI Integration

RAG & Enterprise Knowledge Assistants

Turn scattered documents, wikis and data into an AI assistant that gives your team accurate, cited answers in seconds.

RAG & Enterprise Knowledge Assistants Overview

Employees spend a large part of their week searching for information across shared drives, SharePoint, email, wikis and business systems. Retrieval-augmented generation (RAG) solves this by combining a search layer over your content with a large language model that writes clear answers and cites its sources.

Signupit builds secure enterprise knowledge assistants that connect to SharePoint, Google Drive, Confluence, Notion, Odoo, databases and file stores. We respect existing permissions so users only see answers from content they are allowed to access, and we evaluate accuracy rigorously before rollout.

What’s Included in Our RAG & Enterprise Knowledge Assistants

Data connectors

SharePoint, OneDrive, Google Drive, Confluence, Notion, Odoo, databases and more.

Smart indexing

Document parsing, chunking and embeddings tuned for accuracy.

Cited answers

Every answer links back to source documents for trust and verification.

Permission-aware

Access controls mirrored from your systems and Microsoft Entra ID.

Accuracy evaluation

Test sets and metrics to measure and improve answer quality.

Teams & Slack access

Use the assistant in Microsoft Teams, Slack or a secure web app.

Key Benefits

  • Less time searching for information
  • Faster onboarding of new employees
  • Consistent answers across teams
  • Knowledge retained when people leave
  • Secure, permission-aware access

Our RAG & Enterprise Knowledge Assistants Process

Every engagement follows our proven delivery framework:

  1. Discover: Identify high-value AI use cases, assess your data and define success metrics.
  2. Prototype: Build a working proof of concept quickly to validate value and accuracy.
  3. Build & integrate: Production-grade development, integrations, guardrails, testing and evaluation.
  4. Deploy & improve: Launch on secure cloud infrastructure, monitor quality and costs, and keep improving.

Technologies We Use

RAGLlamaIndexLangChainAzure AI SearchAmazon Bedrock Knowledge BasespgvectorPineconeElasticsearchMicrosoft GraphOpenAIClaude

Looking for the bigger picture? Explore our complete range of AI integration services.

FAQ

RAG & Enterprise Knowledge Assistants: FAQs

What is RAG?

Retrieval-augmented generation (RAG) is a technique where the AI first retrieves relevant passages from your own documents, then uses them to write an answer. This keeps answers accurate, current and grounded in your data.

Can it respect who is allowed to see what?

Yes. We implement permission-aware retrieval so users only receive answers from documents they already have access to.

Which file types are supported?

PDF, Word, Excel, PowerPoint, web pages, emails, wikis and database records, plus scanned documents through OCR.

Where is our data stored?

Indexes can be hosted in your own AWS or Azure account so your data stays within your environment.

Let’s discuss your RAG & enterprise knowledge assistants project

Tell us about your requirements and our specialists will get back to you within 24 hours.