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chromadb-client

Chroma Client.

With conditionsPyPI DatabaseReleased May 2026571.5K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — chromadb_client-1.5.9-py3-none-any.whl
v1.5.9 · released 2026-05-05 · Python >=3.9 · 14 runtime deps: numpy, opentelemetry-api, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-sdk, overrides, pydantic, pydantic-settings, typing_extensions

Yes, if you need to connect to a Chroma server from a Python application. The package is actively maintained, has no known vulnerabilities, carries a permissive license, and installs with low friction. It is a straightforward choice for client-side vector database operations in distributed or containerized environments.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a running Chroma server instance accessible at the specified host and port.
  • Low friction install with 14 runtime dependencies, all common data and networking libraries.
  • Package is actively maintained with recent commits and no known vulnerabilities.

License · maintenance · safety

permissive license (permissive) — Apache 2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.

last release 2026-05-05 (101 days) · last repo commit 2026-08-14 · 29,058 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 571,547 downloads/mo, #5,950 on PyPI

Verify before relying

pip install chromadb-client

import chromadb
client = chromadb.HttpClient(host="localhost", port=8000)
collection = client.create_collection("docs")
collection.add(documents=["text"], ids=["id1"])
results = collection.query(query_texts=["search"], n_results=2)
  • Whether the client supports all Chroma server API features or a subset.
  • Performance characteristics and latency expectations for typical query workloads.
  • Backward compatibility guarantees across server and client version mismatches.
Same gist for agents: .md · .json

What it is and what it does

chromadb-client is a lightweight HTTP-only Python client for the Chroma vector database server. It provides a simple interface to connect to a remote Chroma instance and perform operations like creating collections, adding documents with embeddings and metadata, and querying by semantic similarity. The client handles serialization and network communication via httpx, with built-in retry logic through tenacity and structured data validation via pydantic.

This package is designed for scenarios where you want to keep your application separate from the Chroma server infrastructure—useful for distributed setups, containerized deployments, or when you need a thin client without the full Chroma library overhead. It trades the all-in-one convenience of the full chromadb package for a smaller dependency footprint and clearer separation of concerns.

Use it for

  • Connect a web service or microservice to a centralized Chroma server for semantic search across shared document collections.
  • Build a retrieval-augmented generation (RAG) pipeline that queries embeddings stored on a remote Chroma instance.
  • Integrate document storage and similarity search into a larger distributed system without embedding the full Chroma library.
  • Query vector embeddings with metadata filtering in a production environment where the database runs on a separate server.
  • Prototype or test Chroma functionality against a live server without installing the full development library.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need to connect to a Chroma server from a Python application.

The package is actively maintained, has no known vulnerabilities, carries a permissive license, and installs with low friction. It is a straightforward choice for client-side vector database operations in distributed or containerized environments.

Install

chromadb-client on PyPI

Before you install

Low friction install with 14 runtime dependencies, all common data and networking libraries. Package is actively maintained with recent commits and no known vulnerabilities.

Requires a running Chroma server instance accessible at the specified host and port.

License in practice

Apache 2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.

Quickstart

pip install chromadb-client

import chromadb
client = chromadb.HttpClient(host="localhost", port=8000)
collection = client.create_collection("docs")
collection.add(documents=["text"], ids=["id1"])
results = collection.query(query_texts=["search"], n_results=2)

Verify before relying

  • Whether the client supports all Chroma server API features or a subset.
  • Performance characteristics and latency expectations for typical query workloads.
  • Backward compatibility guarantees across server and client version mismatches.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
14 packages
numpyopentelemetry-apiopentelemetry-exporter-otlp-proto-grpcopentelemetry-sdkoverridespydanticpydantic-settingstyping_extensionstenacityPyYAMLorjsonhttpxjsonschemapybase64
MaintenanceActively maintained 101 days since the last release
Last repo commit
First released
Downloads571,547 / month, #5,950 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Evidence: chromadb_client-1.5.9-py3-none-any.whl

Tags

Capabilities
chroma http clientvector database clientembedding storage clientdocument retrieval with metadataremote vector storechroma server connectionsemantic search client
Topics
vector-databaseragembeddings

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See also chromadb · chroma-mcp · llama-index-vector-stores-chroma · langchain-chroma · opentelemetry-instrumentation-chromadb · upstash-vector · elasticsearch · voyageai · elasticsearch9 · redisvl