I specialize in building production-grade Retrieval-Augmented Generation (RAG) systems that connect Large Language Models to your company’s documents, databases, and knowledge repositories — delivering accurate, context-aware AI responses.
Key Differentiator from Generic LLM Solutions: While many developers build simple chatbots, I focus on enterprise-level RAG architectures that solve hallucination problems and turn your internal data into a reliable AI knowledge base.
What I Offer:
- Intelligent Document Processing & Ingestion Pipelines
- Advanced Vector Search & Hybrid Retrieval Systems
- Multi-Modal RAG (Text + PDF + Images)
- Contextual & Agentic RAG Solutions
- Knowledge Graph Integration
- Performance Optimization & Evaluation Frameworks
- Secure, Scalable Enterprise Deployments
Technologies:
LangChain, LlamaIndex, Pinecone, ChromaDB, FAISS, Qdrant, Weaviate, PostgreSQL pgvector, OpenAI Embeddings, Azure AI Search, and more.
Perfect for companies that want to build internal AI assistants, intelligent search engines, customer support knowledge bases, or document intelligence tools.