---
title: "AI & RAG Engineering: Ramón Chancay"
description: "Production RAG systems, AI agents and LLM integration."
author: Ramón Chancay
lang: en
canonical: https://www.ramonchancay.me/ai
---

# AI & RAG Engineering: Ramón Chancay

Production RAG systems, AI agents and LLM integration.

## AI work in production

- **Clona**: B2B platform for AI conversational agents with a vector-search knowledge base and 3D avatars. Implements retrieval-augmented generation (RAG) over each client’s documents, with multichannel delivery across chat, voice, WhatsApp and embeddable web widgets.
  Capabilities: Retrieval-Augmented Generation, Vector search, Conversational AI agents, LangChain, OpenAI.
- **TechBlog AI Agent**: Autonomous dual-agent system that discovers AI/tech news from 20+ RSS feeds, rewrites it in Spanish, and publishes automatically every three hours. Uses PostgreSQL-backed deduplication and scheduled execution.
  Capabilities: Multi-agent system, Autonomous agents, Vercel AI SDK, OpenRouter, Content automation.
- **Credit Helper**: SaaS credit-analysis platform with an AI chatbot that drafts FCRA dispute letters and explains credit concepts, generating structured, document-ready output.
  Capabilities: AI chatbot, Structured generation, OpenAI.
- **ArcaVida**: Health and wellness platform with an AI chatbot and a natural-remedies knowledge library, answering user questions grounded in a curated content base.
  Capabilities: AI chatbot, Knowledge retrieval, OpenAI.

## Frequently asked questions

### Can you build a RAG chatbot over my company’s documents?

Yes. Ramón builds retrieval-augmented generation (RAG) systems: ingesting and chunking your documents, generating embeddings, storing them in a vector database (such as pgvector or Pinecone), and retrieving the right context at query time so the model answers from your data instead of guessing. He shipped exactly this in Clona, a B2B platform whose conversational agents answer from a vector-search knowledge base across chat, voice and WhatsApp.

### Which LLM providers and AI tools do you work with?

Ramón works with the OpenAI, Anthropic, and Gemini APIs, and routes across models with OpenRouter. On the application side he uses the Vercel AI SDK and LangChain for orchestration, plus vector stores and embeddings for retrieval. He picks the model and tooling per use case (cost, latency, and quality) rather than defaulting to one provider.

### Can you build autonomous AI agents or multi-agent systems?

Yes. Ramón has built autonomous and multi-agent systems in production. TechBlog AI Agent is a dual-agent pipeline that discovers news from 20+ RSS feeds, rewrites it, and publishes automatically every few hours, with PostgreSQL-backed deduplication and scheduled execution: agents doing real work on a schedule, not a demo.

### How do you keep AI features reliable and avoid hallucinations in production?

The core technique is grounding: RAG so answers come from real sources, structured outputs and schema validation so responses are machine-checkable, and guardrails plus fallbacks for when the model is uncertain. Where it matters, he adds evaluation sets to measure quality across changes and keeps a human in the loop for high-stakes actions. The goal is an AI feature you can trust in front of real users, not just a working prompt.

### How much does it cost to add an AI feature to an existing product?

It depends on scope, but a focused AI feature, say a RAG chatbot or a generation flow on top of an existing app, often ships in around 2 to 5 weeks. Pricing is quoted per project once the scope is clear rather than as a fixed rate, so the first step is a short call to define the use case, the data involved, and how reliability will be measured.

### Can you integrate AI into an existing web or mobile app?

Yes. Most AI work Ramón does sits on top of an existing product rather than starting from scratch. Because he works full-stack across React, Next.js, React Native and the backend, he can wire an LLM feature end to end: data and retrieval, the API layer, and the web or mobile UI, without coordinating separate contractors.