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Database / ChromaDB Interview Questions

How do you control what data ChromaDB returns in query and get results using include?

Both query() and get() accept an include parameter — a list of strings specifying which fields to return. Omitting fields you don't need reduces network payload and memory, which matters for large result sets.

import chromadb

client = chromadb.Client()
col = client.create_collection("demo")
col.add(
    documents=["Alpha document", "Beta document", "Gamma document"],
    metadatas=[{"tag": "a"}, {"tag": "b"}, {"tag": "c"}],
    ids=["id1", "id2", "id3"],
)

# Default include: documents, metadatas, distances (for query)
# Default include for get(): documents, metadatas (no distances)
results = col.query(query_texts=["document"], n_results=2)
print(results.keys())
# dict_keys(["ids", "distances", "metadatas", "embeddings", "documents", "uris", "data"])
# embeddings, uris, data are None by default

# Only return IDs and distances — smallest possible response
results = col.query(
    query_texts=["alpha"],
    n_results=2,
    include=["distances"],  # ids are always returned
)
print(results["documents"])   # None
print(results["distances"])   # [[0.05, 0.72]]

# Include raw embedding vectors (large! use only when needed)
results = col.query(
    query_texts=["beta"],
    n_results=1,
    include=["documents", "metadatas", "distances", "embeddings"],
)
print(len(results["embeddings"][0][0]))  # 384 floats per vector

# get() include — embeddings must be explicitly requested
all_data = col.get(
    include=["documents", "metadatas", "embeddings"],
)
print(len(all_data["embeddings"]))  # 3

# get() without include — minimal response
ids_only = col.get()
print(ids_only["ids"])         # ["id1", "id2", "id3"]
print(ids_only["documents"])   # ["Alpha...", "Beta...", "Gamma..."]
Available include values
ValueReturned in query()?Returned in get()?
documentsYes (default)Yes (default)
metadatasYes (default)Yes (default)
distancesYes (default)No — not applicable
embeddingsNo (must request)No (must request)
urisNo (multimodal only)No (multimodal only)
dataNo (multimodal only)No (multimodal only)
Are IDs always returned in ChromaDB query and get results?
Why would you exclude 'documents' from the include list in a ChromaDB query?

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What is ChromaDB and what problem does it solve? What are embeddings and why are they central to how ChromaDB works? What distance metrics does ChromaDB support and how do you choose between them? What is a ChromaDB collection and how do you create, list, get, and delete collections? How do you add documents to a ChromaDB collection? How do you query a ChromaDB collection for similar documents? How do you retrieve, update, and delete specific documents in ChromaDB? How do you filter query results using metadata in ChromaDB? What is the difference between ChromaDB's in-memory and persistent storage modes? What is ChromaDB's default embedding function and how does it work? How do you use the OpenAI embedding function with ChromaDB? How do you use HuggingFace models as embedding functions in ChromaDB? How do you create a custom embedding function for ChromaDB? How does ChromaDB's PersistentClient store data on disk, and what are its limitations? What is the HNSW index in ChromaDB and what parameters can you tune? How do you efficiently add large numbers of documents to ChromaDB using batching? What is the where_document filter in ChromaDB and how does it differ from where? How do you control what data ChromaDB returns in query and get results using include? How do you design metadata schemas for effective filtering in ChromaDB? How do you inspect a ChromaDB collection's contents and configuration? How do you build a basic RAG (Retrieval-Augmented Generation) pipeline with ChromaDB? What are effective document chunking strategies when indexing documents into ChromaDB for RAG? How do you use ChromaDB as a vector store with LangChain? How do you implement multi-tenancy or data isolation in ChromaDB? What is embedding consistency and why is it critical in ChromaDB applications? How do you run ChromaDB as a standalone HTTP server and connect to it from multiple clients? When should you use upsert() instead of add() in ChromaDB, and what are common patterns? What are best practices for structuring ChromaDB collection metadata for production use? How does ChromaDB compare to FAISS, and when should you choose one over the other? What are common ChromaDB errors and how do you handle them in production code? How do you back up and restore a ChromaDB persistent database? How do you ensure the correct embedding function is used when reopening a persistent ChromaDB collection? How do you interpret ChromaDB query distances and convert them into meaningful relevance scores? What are ChromaDB's practical size limits and performance characteristics at scale? How do you use ChromaDB to detect and remove near-duplicate or semantically similar documents? How do you reset or clear a ChromaDB collection without deleting and recreating it? What configuration settings does ChromaDB support and how do you disable telemetry? What is a production readiness checklist for a ChromaDB-based application?
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