Prev Next

Database / LanceDB Interview questions

How do you create a table in LanceDB?

Creating a table in LanceDB typically means connecting to a database directory (local or object storage), then calling a create method with either an initial batch of data or an explicit schema.

import lancedb
from lancedb.pydantic import LanceModel, Vector

db = lancedb.connect("./my_lancedb")

class Document(LanceModel):
    text: str
    vector: Vector(384)

table = db.create_table("documents", schema=Document)
table.add([{"text": "hello", "vector": [0.1] * 384}])

The schema can be defined explicitly (as shown above using a Pydantic-based LanceModel, which maps cleanly to Arrow types under the hood), or inferred automatically by passing an initial list of dictionaries or a Pandas DataFrame directly to create_table, letting LanceDB determine column types from the data itself.

The mode parameter (commonly "create", "overwrite", or "append"-like semantics via subsequent add calls) controls what happens if a table with that name already exists, which matters in scripts or notebooks that might be re-run against the same database directory multiple times during development.

What can be used to define a table's schema explicitly in the Python SDK?
Can a table's schema be inferred automatically instead of declared explicitly?

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...


Comments & Discussions