Benchmark Cohere Rerank 3.5, BGE v2-m3, Jina Reranker v2, and ColBERT v2 for RAG in Python. Runnable code, NDCG@10 results, latency, and $/1M queries so you can pick the right reranker.
LangGraph 1.2 turns Python LLM agents into durable, resumable state machines. Learn nodes, edges, checkpointers, human-in-the-loop, and production deployment patterns for 2026.
A hands-on 2026 guide to LiteLLM in Python: the SDK, the self-hosted proxy, cost tracking, fallbacks, Redis semantic caching, and the production trade-offs that matter.
Langfuse vs LangSmith vs Arize Phoenix for LLM observability in Python: pricing, self-hosting, OpenTelemetry support, and real production tradeoffs from someone who has shipped all three.
Compare GPTQ, AWQ, bitsandbytes, and GGUF for LLM quantization in Python. Real H100 benchmarks, kernel choices, and a production-ready decision tree for 2026.
Compare vLLM, TGI, and SGLang for serving LLMs on your own GPUs in 2026. Throughput numbers, prefix caching, quantization tradeoffs, and a production Docker deployment with monitoring.
BentoML, Ray Serve, FastAPI, and Triton compared for production ML model serving in Python: latency overhead, GPU batching, autoscaling, and cost per prediction with working code examples.