Data Pipeline & RAG
We build data pipelines and Retrieval-Augmented Generation systems that connect your proprietary data to AI models — enabling accurate, grounded AI responses.
What Are Data Pipelines & RAG?
Data Pipeline & RAG combines ETL (Extract-Transform-Load) automation with Retrieval-Augmented Generation. We build systems that ingest your documents, databases, and knowledge bases, process them into vector embeddings, and connect them to LLMs so AI can answer questions using your actual data.
The result: AI that knows your business — accurate responses grounded in real documents, not generic internet knowledge. No hallucinations about your products, policies, or procedures.
What’s Included
Data Source Assessment
Auditing your data sources — documents, databases, APIs, wikis — and defining the ingestion strategy.
ETL Pipeline Design
Building automated pipelines to extract, clean, transform, and load data on schedule or in real-time.
Vector Database Setup
Configuring Pinecone, Weaviate, Chroma, or pgvector for efficient semantic search and retrieval.
Embedding & Chunking Strategy
Optimizing document chunking, embedding models, and metadata tagging for retrieval quality.
RAG Pipeline Implementation
Building the retrieval + generation pipeline with re-ranking, context assembly, and source citations.
Monitoring & Maintenance
Setting up data freshness checks, pipeline monitoring, and automated re-indexing.
How We Work
Data Audit
We assess your data sources, quality, formats, and volume to design the optimal pipeline.
Pipeline Architecture
We design the ETL + RAG architecture including chunking strategy, embedding model, and retrieval approach.
Build & Integrate
We implement the pipeline, set up vector storage, and connect everything to your LLM endpoint.
Test & Optimize
We evaluate retrieval accuracy, optimize chunking/ranking, and deploy with monitoring.
Who It’s For
Pricing
- Data source audit & ingestion strategy
- ETL pipeline design & implementation
- Vector database setup & configuration
- Embedding strategy & chunking optimization
- RAG pipeline with re-ranking & citations
- Data freshness automation & monitoring
- Documentation & knowledge transfer
Why This Investment
RAG systems eliminate AI hallucinations about your business data. Without proper data pipelines, LLMs fabricate answers — leading to customer trust issues and compliance risks. A well-built RAG system ensures every AI response is grounded in your actual documents, saving costly corrections and reputation damage.
No obligation
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Book a free discovery call and we’ll design a RAG system that makes AI truly understand your business.
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