Core RAG Services Everything you need to build, deploy, and scale production-ready RAG systems.
Vector Database Architecture Design and implement optimized vector storage solutions for lightning-fast semantic search.
Pinecone, Weaviate, Qdrant, Milvus expertise Hybrid search implementation Sharding and replication strategies Cost optimization and scaling
Embedding Strategy Select and fine-tune the perfect embedding models for your domain.
OpenAI, Cohere, Sentence Transformers Custom model fine-tuning Chunk size and overlap optimization Multi-modal embedding support
LLM Integration Seamlessly connect your RAG pipeline to any language model.
GPT-4, Claude, Llama, Mistral support Prompt engineering and optimization Context window management Streaming and async patterns
Performance Optimization Reduce latency and scale your RAG system to millions of documents.
Query caching strategies Embedding pre-computation Batch processing pipelines Load balancing and CDN integration
Enterprise Security Implement robust security measures for regulated industries.
Role-based access control (RBAC) Data encryption at rest and in transit Audit logging and compliance SOC 2 and HIPAA compliance support
RAG Evaluation & Monitoring Build comprehensive evaluation frameworks with real-time monitoring.
Retrieval accuracy metrics (NDCG, MRR) Answer quality scoring Real-time performance dashboards Automated regression testing