AI / ML Integration

AI / RAG Integration

Production-ready AI applications — RAG platforms, LLM chatbots, document Q&A with 92% accuracy.

From $3,5003-6 weeks

The problem

Companies want to add AI to their products but prototypes fail in production — data leaks, model provider outages, no quality gates, and answers without sources.

The solution

I integrate production-grade AI: RAG pipelines with LangGraph/LangChain, vector stores (ChromaDB/Qdrant/pgvector), LiteLLM multi-provider fallback, Presidio PII redaction, and Ragas/DeepEval quality gates.

Outcome

AI features that answer from your documents with source citations, 92%+ accuracy, multi-provider redundancy, and zero PII leakage.

Features

RAG (Retrieval-Augmented Generation) systems
LLM-powered chatbots & assistants
Document processing & Q&A
Vector database integration
Multi-provider AI orchestration
Prompt-injection defense

Includes

LangGraph ingestion pipeline
Vector store setup & indexing
LiteLLM provider routing
Presidio PII redaction
Ragas + DeepEval CI quality gates

Engagement models

Project-based

Fixed scope — AI feature integration into existing product.

Monthly retainer

Ongoing AI ops, model tuning, and quality monitoring.

Technologies

LangChain
LangGraph
LiteLLM
ChromaDB
Qdrant
pgvector
OpenAI
Anthropic
Google Gemini
Presidio

Ideal client

Teams adding document Q&A, customer support bots, or internal knowledge search to their product.

Ready to build?

I work with startups and engineering teams worldwide. Let’s discuss your project.

Get in touch