Request AccessVector DB

Chroma

The AI-native open-source embedding database

Chroma is the simplest vector database for AI applications, designed to make it easy to build LLM apps with embeddings.

Features

Simple API
Metadata filtering
Multi-modal
Cloud & self-hosted
LangChain integration

Integration Example

Use Chroma through Keystore with zero code changes. Keys are resolved from the vault and injected at request time.

chromadb-example.ts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
import Keystore from "@keystore/sdk";

const ks = new Keystore({ agentToken: process.env.KS_TOKEN! });
ks.interceptAll();

// All requests to Chroma's API are automatically
// intercepted and routed through the Keystore proxy.
// Real credentials are injected server-side.
const res = await fetch("https://api.chromadb.com/v1/...", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ /* your payload */ }),
});
const data = await res.json();
console.log(data);

Use Cases

LLM memory
Document search
Chat with data
Prototyping RAG

Ready to use Chroma?

Request access and our concierge team will provision credentials for you — usually within 24 hours. No setup on your end.

Request Access