Curated

(4/5)

TeleBot KnowledgeHub

Connect Memorybufferwindow, Vectorstoreinmemory, Textsplitterrecursivecharactertextsplitter and more with this n8n workflow. 15 nodes total.

Integrations Used (9)

Memorybufferwindow

Vectorstoreinmemory

Textsplitterrecursivecharactertextsplitter

Documentdefaultdataloader

Form

Agent

Lmchatgroq

Embeddingshuggingfaceinference

Workflow Structure (13 nodes)

100%

Form Trigger

Upload your file here

Langchain.vector Store In Memory

Simple Vector Store

Telegram Trigger

Telegram Message Trigger1

Get a chat1

Langchain.agent

AI Agent1

Reply in Telegram1

Langchain.embeddings Hugging Face Inference

Embeddings HuggingFace Inference

Langchain.text Splitter Recursive Character Text Splitter

Recursive Character Text Splitter

Langchain.document Default Data Loader

Default Data Loader1

Langchain.lm Chat Groq

Groq Chat Model

Langchain.memory Buffer Window

Simple Memory

Langchain.vector Store In Memory

Retrieve documents

Langchain.embeddings Hugging Face Inference

Embeddings HuggingFace Inference1

Node Types:

default

logic

action

trigger

Requires credentials

Prerequisites

Required Credentials (3)

Groq

Used by: Groq Chat Model

Docs

Hugging Face

Used by: Embeddings HuggingFace Inference, Embeddings HuggingFace Inference1

Docs

Used by: Get a chat1, Reply in Telegram1 +1 more

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min

Score: 43/100

When to Use This Workflow

Streamline Team Communication

Automatically route notifications and updates to the right channels and people.

Reduce information overload while keeping everyone informed.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "nodes": [
    {
      "parameters": {
        "sessionIdType": "customKey",
        "sessionKey": "={{ $('Telegram Message Trigger1').item.json.message.chat.id }}"
      },
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        -2576,
        -384
      ],
      "id": "2ac4d2dd-945d-4462-bb22-d2df7c5a05fa",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolDescription": "Use this tool to retrieve any information required.",
...