Prev Next

Database / LanceDB Interview questions

List the storage backends supported by LanceDB?

LanceDB can store its underlying Lance-format data files on a local filesystem or directly on cloud object storage, without needing a separate data-loading step to move data between the two.

BackendTypical Use
Local filesystemDevelopment, prototyping, single-machine production workloads
Amazon S3Production deployments needing durable, scalable object storage
Google Cloud Storage (GCS)GCP-based deployments
Azure Blob StorageAzure-based deployments

Connecting to any of these is largely a matter of changing the URI passed to lancedb.connect() — a local path for the filesystem backend, or an s3://, gs://, or az:// URI for the respective cloud backends — with the same table and query APIs working identically regardless of which backend is underneath.

Because Lance is designed for efficient random access directly against object storage (rather than requiring data to be downloaded locally first), a LanceDB table can serve queries directly from S3 or GCS, which is the foundation of the "lakehouse for AI" pattern where storage and compute stay decoupled.

What changes when switching from local filesystem storage to S3?
Does a LanceDB table need data downloaded locally before querying from object storage?

More Related questions...

What is LanceDB? What is the purpose of LanceDB? What is the Lance columnar format? What are the key features of LanceDB? What is an embedded vector database? What is Apache Arrow, and how does LanceDB use it? Define a table in LanceDB? What is a vector embedding? What are the supported languages/SDKs for LanceDB? How do you create a table in LanceDB? What is ANN (Approximate Nearest Neighbor) search? What is the IVF_PQ index in LanceDB? What is full-text search in LanceDB? What is hybrid search in LanceDB? Define the embedding function registry in LanceDB? What is schema evolution in LanceDB? List the storage backends supported by LanceDB? What is a scalar index in LanceDB? What is versioning in LanceDB? How do you connect to a LanceDB database? What is the difference between LanceDB and Pinecone? What is the difference between LanceDB and Chroma? What is the difference between LanceDB OSS and LanceDB Cloud? Why is LanceDB well suited for multimodal AI data? How does the Lance format differ from Parquet? Explain how IVF_PQ indexing works internally? What is the difference between IVF_PQ and HNSW indexing in LanceDB? How does LanceDB implement hybrid search using reranking? What is Reciprocal Rank Fusion (RRF), and how is it used in LanceDB? Explain the lifecycle of a write operation in LanceDB (versioning)? How do you perform time travel queries in LanceDB? What is the difference between checkout and restore in LanceDB? What are tags in LanceDB versioning? What are branches in LanceDB, and how do they differ from tags? How does LanceDB handle deletes internally? Explain the internal working of LanceDB's zero-copy data access via Arrow? How do you integrate LanceDB with LangChain for RAG? What is the role of DataFusion in LanceDB's query execution? How do you implement custom embedding functions in LanceDB? When should you use a scalar index versus a vector index? How do you optimize a LanceDB table for query performance through compaction? What is prefiltering vs postfiltering in LanceDB queries? Explain the internal working of product quantization (PQ) in vector indexing? How does LanceDB support multi-process concurrent access? What are the trade-offs of running LanceDB embedded versus as a managed cloud service? Explain the internal working of the manifest and commit protocol in Lance? How do you implement multimodal search across text and images in LanceDB? What is the role of object storage (S3/GCS) in LanceDB's architecture? How do you monitor and troubleshoot slow vector search queries in LanceDB? Explain the execution flow of a RAG pipeline built with LanceDB as the retrieval layer?
Show more question and Answers...

Integration

Comments & Discussions

Interviews Questions

About Javapedia.net

Javapedia.net is for Java and J2EE developers, technologist and college students who prepare of interview. Also this site includes many practical examples.

This site is developed using J2EE technologies by Steve Antony, a senior Developer/lead at one of the logistics based company.

Follow Javapedia updates

contact: javatutorials2016[at]gmail[dot]com

Kindly consider donating for maintaining this website. Thanks.

Copyright © 2026, javapedia.net, all rights reserved. · .

DMCA.com Protection Status