@good-i-deer/node-red-contrib-chromadb
v1.0.5
Published
ChromaDB Node for Node-RED
Downloads
13
Readme
@good-i-deer/node-red-contrib-chromadb
This module provides a node that connects and operates with ChromaDB in Node-RED.
These nodes require node.js version 18.16.1 and Node-RED version 3.1.0.
Description
This node is part of the Facial Recognition with AI package.
If you would like to see the entire package, please go to the link.
@good-i-deer/node-red-contrib-vision-ai
ChromaDB is the open-source embedding database. ChromaDB makes it easy to store and query embedded values. This node makes it possible to run ChromaDB operations(create/delete collection, insert/query/delete embedding) in Node-RED.
Pre-requisites
The Node-Red-Contrib-ChromaDB requires Node-RED to be installed and requires a running Chroma-DB server.
If necessary, you can install and run the chromaDB server on local. Please refer to Getting Started.
Install
cd ~/.node-red
npm install @good-i-deer/node-red-contrib-chromadbRestart your Node-RED instance.
Input
Single Embedding
- The input could be an embedding value in the form of an array of real numbers.
- Used for input of insert or query operation.
Embedding Array
- The input could be embedding values in the form of an array of real number arrays.
- Used for input of insert or query operation.
ID Array
- The input could be one or more ids in the form of an array of string.
- Used for input of delete operation.
property
Name
- The name of the node displayed on the screen.
Host
- The addreess where ChromaDB server is running.
Port
- The port number where ChromDB server is running.
Operation
The operation that want to run on ChromaDB.
Operation Types
list: list all collections in ChromaDB server.
create: create collection. Does not create if the collection with same name already exists.
insert: insert embedding value(s) into the collection.
query: query the N nearest distance embeddings.
delete: delete embedding with id.
drop: drop collection.
DB Name
- The name of DB(collection) that you want to create, delete, or apply the operation.
Dist Method
The distance method for calculating distances between embeddings.
You can set the distance method when you create DB.
Result Count
The number of result you want to get when you run query operation.
Query operation return N(=result count) nearest distance for each embedding.
Output
Collection list
- After list operation, collection list in the form of a string array are passed within msg.payload.
ID Array
- After inserting embeddings, IDs in the form of a string array are passed within msg.result.
Query Response
- After querying embeddings, the query response, which contains IDs, distances, metadatas, and documents in the form of an object, is passed within msg.payload.
Result
- After create, drop operation, the result explaining success of operation in the form of a string is passed within msg.result.
Examples
The following are example flows using Good ChromaDB.
JSON
[
{
"id": "1e6ef671efdf6e7b",
"type": "tab",
"label": "ChromaDB",
"disabled": false,
"info": "",
"env": []
},
{
"id": "4792f9f4b8190c2f",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "",
"props": [],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"x": 290,
"y": 320,
"wires": [
[
"a8efe2228a20081d"
]
]
},
{
"id": "c6332d85335a6f9f",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Result",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "result",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 750,
"y": 320,
"wires": []
},
{
"id": "1d56935af7702c2d",
"type": "comment",
"z": "1e6ef671efdf6e7b",
"name": "Good I Deer ChromaDB",
"info": "",
"x": 320,
"y": 200,
"wires": []
},
{
"id": "d667ed331e78790d",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "Embeddings",
"props": [
{
"p": "payload"
},
{
"p": "topic",
"vt": "str"
}
],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"payload": "[[1.2, 2.4, 4.5], [2.2, 4.4, 4.5]]",
"payloadType": "jsonata",
"x": 310,
"y": 380,
"wires": [
[
"c203de7681166255"
]
]
},
{
"id": "e778da936ae795f4",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Result",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "result",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 750,
"y": 380,
"wires": []
},
{
"id": "6ae163d47c1f45cf",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "Embeddings",
"props": [
{
"p": "payload"
},
{
"p": "topic",
"vt": "str"
}
],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"payload": "[[1.2, 2.4, 4.5], [2.2, 4.4, 4.5]]",
"payloadType": "jsonata",
"x": 310,
"y": 440,
"wires": [
[
"5f7cd9e19723b46e"
]
]
},
{
"id": "32ea1864d84fdb4e",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Payload",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "payload",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 760,
"y": 440,
"wires": []
},
{
"id": "8c25f32070d63b87",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "IDs",
"props": [
{
"p": "payload"
},
{
"p": "topic",
"vt": "str"
}
],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"payload": "[\"id-1\", \"id-2\"]",
"payloadType": "jsonata",
"x": 290,
"y": 500,
"wires": [
[
"cf75be103178217a"
]
]
},
{
"id": "67946cfb0b10bac5",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Result",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "payload",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 750,
"y": 500,
"wires": []
},
{
"id": "4acb518fd1eb8271",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "",
"props": [],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"x": 290,
"y": 260,
"wires": [
[
"603eb6e696d796f2"
]
]
},
{
"id": "63358d81ceaa24de",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Payload",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "payload",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 760,
"y": 260,
"wires": []
},
{
"id": "624f10863faede9f",
"type": "inject",
"z": "1e6ef671efdf6e7b",
"name": "",
"props": [],
"repeat": "",
"crontab": "",
"once": false,
"onceDelay": 0.1,
"topic": "",
"x": 290,
"y": 560,
"wires": [
[
"30f9b81713d706aa"
]
]
},
{
"id": "796b026101abc5f9",
"type": "debug",
"z": "1e6ef671efdf6e7b",
"name": "Result",
"active": true,
"tosidebar": true,
"console": false,
"tostatus": false,
"complete": "result",
"targetType": "msg",
"statusVal": "",
"statusType": "auto",
"x": 750,
"y": 560,
"wires": []
},
{
"id": "a8efe2228a20081d",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "Create Collection",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "create",
"nResults": "1",
"x": 530,
"y": 320,
"wires": [
[
"c6332d85335a6f9f"
]
]
},
{
"id": "c203de7681166255",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "Insert Embeddings",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "insert",
"nResults": "1",
"x": 530,
"y": 380,
"wires": [
[
"e778da936ae795f4"
]
]
},
{
"id": "5f7cd9e19723b46e",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "Query Embeddings",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "query",
"nResults": "10",
"x": 530,
"y": 440,
"wires": [
[
"32ea1864d84fdb4e"
]
]
},
{
"id": "cf75be103178217a",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "Delete Embeddings",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "delete",
"nResults": "1",
"x": 530,
"y": 500,
"wires": [
[
"67946cfb0b10bac5"
]
]
},
{
"id": "30f9b81713d706aa",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "Drop Collection",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "drop",
"nResults": "1",
"x": 520,
"y": 560,
"wires": [
[
"796b026101abc5f9"
]
]
},
{
"id": "603eb6e696d796f2",
"type": "good-chroma-db",
"z": "1e6ef671efdf6e7b",
"name": "List Collections",
"dbIp": "http://localhost",
"dbPort": "8000",
"dbName": "MyCollection",
"distance": "cosine",
"operation": "list",
"nResults": "1",
"x": 520,
"y": 260,
"wires": [
[
"63358d81ceaa24de"
]
]
}
]Discussions and suggestions
Use GitHub Issues to ask questions or to discuss new features.
Authors
GOOD-I-DEER in SSAFY(Samsung Software Academy for Youth) 9th
Copyright and license
Copyright Samsung Automation Studio Team under the Apache 2.0 license