Run a multimodal feature-engineering pipeline in ten minutes with geneva-examples, then rebuild its CLIP embedding step with LanceDB's feature engineering API, the same calls you'd use to enrich your own tables on LanceDB Enterprise.

Volcano Engine rebuilt its AI data stack on Lance, cutting a seven-day pipeline to one day and powering agent memory with LanceDB at 100K+ QPS.

Learn how to build an OCR pipeline for handwritten medical notes using DSPy, GEPA, and LanceDB to manage images, labels, outputs, metrics, and retrieval.

How LanceDB's latest IVF_RQ improvements raise recall, cut p99 latency, and let teams tune vector search at query time with approx_mode.

Turn information-rich PDFs into a local, inspectable, searchable evidence store with LlamaIndex's LiteParse library and LanceDB.

How Lance format and LanceDB's Enterprise feature engineering platform make VLM fine-tuning faster by materializing expensive multimodal features once and training from those columns.

How late materialization in Lance Spark keeps large binary data as lightweight references through query plans, materializing bytes only on write.

Introducing a new LanceDB-backed memory plugin that gives Hermes Agent durable, semantic recall across sessions, with benchmarks and a hands-on remember/recall/forget walkthrough.