Blog
- MLOps in Regulated Industries: What Production-Ready Really Means3/2/2025
From audit trails to canaries, here's a checklist we use when shipping AI in BFSI & Healthcare.
- Hybrid Search for Technical Docs: Why BM25 + Embeddings Beats Either Alone2/15/2025
A practical guide to combining keyword and semantic search with reranking and chunking that doesn't destroy context.
- Model Versioning in Production: Beyond Git for Machine Learning1/20/2025
Why Git alone isn't enough for ML models, and how to implement semantic versioning with metadata, lineage tracking, and rollback strategies.
- Fine-Tuning LLMs for Domain Expertise: When and How to Do It Right12/10/2024
RAG gets you 80% there. Fine-tuning closes the gap for specialized domains. Here's when to fine-tune, data requirements, and avoiding catastrophic forgetting.
- Production-Ready Vector Databases: Choosing Between pgvector, Pinecone, and Weaviate11/5/2024
From prototype to production: cost, latency, filtering, and hybrid search capabilities across vector database options for RAG systems.