Documentation for ChromaDB, the open-source AI application database for building LLM apps with vector, full-text, and metadata search capabilities.

from chromadb import Documents, EmbeddingFunction, Embeddings class MyEmbeddingFunction(EmbeddingFunction): def __call__(self, texts: Documents) -> …

pip install chromadb # python client # for javascript, npm install chromadb! # for client-server mode, chroma run --path /chroma_db_path

Dec 12, 2025 · import chromadb # setup Chroma in-memory, for easy prototyping. Can add persistence easily! client = chromadb.Client() # Create collection. get_collection, …

6 days ago · ChromaDB向量数据库实战指南：从基础配置到性能提升的最佳实践 【免费下载链接】mindsdb mindsdb/mindsdb: 是一个基于 SQLite 数据库的分布式数据库管理系统，它支持多 …

pip install chromadb 注意：Chroma 默认是本地嵌入式数据库，并不原生支持远程访问像传统数据库那样（比如 PostgreSQL 那种 client-server 模式）。

Jan 22, 2025 · ChromaDB是一个开源向量数据库，专为高效管理文本嵌入与相似度搜索设计。 支持Docker部署，提供Python和JavaScript SDK，具备多存储后端、高性能、条件查询等功 …

Oct 9, 2025 · ChromaDB is an open-source vector database designed to efficiently store and search vector embeddings used in AI tasks.

import { ChromaClient } from 'chromadb' const client = new ChromaClient() const collection = await client.getOrCreateCollection({ name: "my_collection" }) // Add documents with …

May 28, 2024 · We suggest you first head to the Concepts section to get familiar with ChromaDB concepts, such as Documents, Metadata, Embeddings, etc. Once you're comfortable with the …