RAG Implementation

Give Your AI Real Knowledge

Generic AI hallucinates. RAG connects your AI to your documents, databases, and knowledge bases so it answers questions accurately — with sources. Perfect for customer support, internal tools, and document Q&A.

What RAG Solves

  • AI making up facts (hallucinations)
  • AI with outdated or wrong information
  • Chatbots that can't access your documents
  • Answers grounded in your actual data
  • Citations pointing to source documents
  • Real-time data access when needed

How RAG Works

1

Ingest

Your documents are chunked, embedded, and stored in a vector database.

2

Retrieve

When a user asks a question, the most relevant chunks are fetched.

3

Augment

The retrieved context is injected into the AI prompt with the question.

4

Generate

The AI answers accurately, grounded in your actual documents.

What We Build

📄 Document Q&A

Ask questions about contracts, policies, manuals. AI answers from your actual documents with citations.

Use case: Legal docs, HR policies, technical manuals

💬 Intelligent Support

Customer support AI that knows your product, knows the customer's history, and never gives wrong info.

Use case: Help desks, Zendesk, Intercom integrations

🔍 Internal Search

Semantic search across all your internal wikis, tickets, and documents. Natural language queries, real answers.

Use case: Internal knowledge bases, RFP responses

📊 Data Analyst

Connect AI directly to your database. Ask "What were our top products last quarter?" and get answers, not SQL.

Use case: Business intelligence, SQL databases

🏭 Technical Support

AI that understands your products, manuals, and troubleshooting guides. Give accurate technical answers 24/7.

Use case: Manufacturing, SaaS products

📧 Email & Comms

AI that reads and drafts emails based on your communication history and company knowledge.

Use case: Sales, customer success, executive assistants

Tech Stack

OpenAI
Anthropic
LangChain
LlamaIndex
Pinecone
Weaviate
Chroma
pgvector
Next.js
FastAPI
AWS Bedrock

"We had 10 years of product documentation nobody could find. Baio set up a RAG system in 3 weeks. Our support team now answers questions in seconds, with sources. Support tickets dropped 40%."

KL
Kevin L.
Head of Product, SaaS Company

Build AI That Knows Your Stuff

Tell us about your data and use case. We'll show you what's possible and build a working demo in days, not months.

  • ✓ Free demo with your sample data
  • ✓ Architecture design included
  • ✓ Data security review
  • ✓ Transparent pricing