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AI Agents for Customer Support with RAG
Agents that answer about your products without making things up — based on your real documentation
I build AI agents that serve customers based on your real documents, manuals and FAQs. The architecture prevents the model from inventing information: if it's not in the base, it says it doesn't know.
What I deliver
- RAG (Retrieval-Augmented Generation) over your documentation
- Embeddings and semantic search with PostgreSQL/pgvector
- Reranking for response accuracy
- Citation system: the agent shows where it got the answer
- Integration with your existing system (API or widget)
- Conversation logs for auditing and continuous improvement
- Predictable cost: local models for high volume, cloud for quality
- Training for your team to maintain and evolve
Tech stack
PythonFastAPIPostgreSQLpgvectorOllamaOpenAI APIAnthropic ClaudeLangChainRedisDocker
Projects that prove it
AI systems and agents built:
Want to automate customer support with AI?
Tell me about the question volume, the documentation you have and where the agent should run. You'll get a technical proposal with architecture and cost.