LLM Integration & RAG Pipeline DevelopmentMahmut Düzen
End-to-end implementation of LLM-based features and RAG pipelines for your product. I integrate multiple LLM providers with failover support, semantic search using pgvector or Qdrant, and production-grade prompt engineering.
What you get:
Multi-provider LLM integration (OpenAI, Anthropic, Google, Ollama, vLLM) with Circuit Breaker pattern
Custom RAG pipeline with vector database setup (pgvector with HNSW indexing or Qdrant)
Prompt engineering and optimization
Semantic caching for cost reduction
Production deployment and monitoring
Documentation and handoff
Why me: I built PromptWall, a multi-tenant AI security platform with 34 modules and 5 custom Python AI models (NER, Embedding, Injection Detection, Toxicity, OCR) connected via gRPC microservices. I know LLM systems in production, not just demos.
Tech stack: Node.js, TypeScript, Python, PostgreSQL with pgvector, Qdrant, gRPC, Docker, Kubernetes.
Contact for pricing
Duration1 week
Tags
Anthropic API
OpenAI
pgvector
RAG
Prompt Engineer
LLM Integration
Qdrant
Semantic Search
Vector Database
Service provided by
Mahmut Düzen proİstanbul, Turkey
LLM Integration & RAG Pipeline DevelopmentMahmut Düzen
Contact for pricing
Duration1 week
Tags
Anthropic API
OpenAI
pgvector
RAG
Prompt Engineer
LLM Integration
Qdrant
Semantic Search
Vector Database
End-to-end implementation of LLM-based features and RAG pipelines for your product. I integrate multiple LLM providers with failover support, semantic search using pgvector or Qdrant, and production-grade prompt engineering.
What you get:
Multi-provider LLM integration (OpenAI, Anthropic, Google, Ollama, vLLM) with Circuit Breaker pattern
Custom RAG pipeline with vector database setup (pgvector with HNSW indexing or Qdrant)
Prompt engineering and optimization
Semantic caching for cost reduction
Production deployment and monitoring
Documentation and handoff
Why me: I built PromptWall, a multi-tenant AI security platform with 34 modules and 5 custom Python AI models (NER, Embedding, Injection Detection, Toxicity, OCR) connected via gRPC microservices. I know LLM systems in production, not just demos.
Tech stack: Node.js, TypeScript, Python, PostgreSQL with pgvector, Qdrant, gRPC, Docker, Kubernetes.
Contact for pricing