RAG Pipeline Development
Make AI actually know YOUR business. RAG pipelines connect language models to your private data so they give accurate, grounded answers.
01
What is RAG?
RAG = Retrieval-Augmented Generation. In plain English: we feed your documents, PDFs, databases, and knowledge bases to the AI. Now when you ask questions, it searches YOUR data first, then answers.
Result? No more hallucinations. No more generic answers. Just accurate info from YOUR business.
02
What We Build
- 01Document Q&A Systems — Chat with PDFs, contracts, manuals
- 02Knowledge Base Chatbots — Internal wikis, help centers, SOPs
- 03Database Chat Interfaces — Query SQL/NoSQL in natural language
- 04Semantic Search Engines — Find info by meaning, not keywords
03
Tech Stack
We use industry-leading vector databases (Pinecone, Chroma, Qdrant, Supabase pgvector), LangChain/LlamaIndex for orchestration, and the best LLMs (GPT-4, Claude 3, Gemini Pro).
04
Pricing
RAG projects start at $1,500 USD. Timeline: 3-5 weeks.