Building production-grade Retrieval-Augmented Generation systems, hybrid vector search, and autonomous LLM agents.
How to build production Retrieval-Augmented Generation pipelines that eliminate hallucinations and boost retrieval precision.
Merging semantic embeddings with lexical BM25/tsvector queries using Reciprocal Rank Fusion (RRF).
Running Llama 3, Mistral, and Qwen models locally with GPU acceleration, concurrency tuning, and systemd management.
Designing deterministic AI workflows with JSON schema function calling, error recovery, and safety guardrails.
How modern KV cache reuse reduces latency and cost for document analysis and multi-turn conversations.