Chroma is an AI-native open-source vector database that simplifies building LLM apps by providing tools for storing, embedding, and searching embeddings with a focus on simplicity and speed.

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Usage

import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "sk-xx"

config = {
    "vector_store": {
        "provider": "chroma",
        "config": {
            "collection_name": "test",
            "path": "db",
        }
    }
}

m = Memory.from_config(config)
m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})

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Config

Here are the parameters available for configuring Chroma:

ParameterDescriptionDefault Value
collection_nameThe name of the collectionmem0
clientCustom client for ChromaNone
pathPath for the Chroma databasedb
hostThe host where the Chroma server is runningNone
portThe port where the Chroma server is runningNone
ConfigPgvector