langchain-chatbot
Implementation of a chatbot using LLM chat model API and Langchain
GraphCanon updated 1w · GitHub synced 1w
Decision brief
Langchain-chatbot is notable for its integration with GPT-4 and Langchain framework to offer features such as personality customization and data anonymization.
Good fit when
- - When you need a chatbot solution that integrates with the GPT-4 model for more advanced AI interactions
- - If your project requires customizing personalities in the chatbot, offering a tailored user experience
Avoid when
- - In scenarios where you prefer not to use or cannot utilize OpenAI APIs due to regional restrictions or preferences for open-source alternatives
- - For projects that do not require real-time streaming responses, since Langchain-chatbot provides this feature which might not be necessary in some applications
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (507d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install langchain-chatbot PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A chatbot project with support for GPT-4 that uses Langchain framework and incorporates features such as personality customization and data anonymization.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 15, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 15, 2026
- Languages
- python
Source: github.language · Aug 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 15, 2026)
1. Clone repo: `git clone https://github.com/btrcm00/chatbot-with-langchain.git`Source link
Source: README excerpt (regex_v1, Aug 15, 2026)
2. Install packages: `npm install`Source link
Source: README excerpt (regex_v1, Aug 15, 2026)
# Edit the .env file to add your OpenAI API keySource link
Source: README excerpt (regex_v1, Aug 15, 2026)
1. `python -m spacy download en_core_web_md`Source link
Tags
README
Quick Start with Setup Script
The easiest way to run the entire application is using our setup script:
-
Make the script executable:
chmod +x setup.sh -
Run the setup script:
./setup.sh -
Follow the prompts:
- The script will create necessary .env files if they don't exist
- Choose between Docker Compose deployment or local development
- The script will guide you through the rest of the setup process
For Windows users, use setup.bat instead.
Quick Start with Docker Compose Manually
If you prefer to run the commands manually:
-
Set up environment variables:
# For backend cp backend/.env.example backend/.env # Edit the .env file to add your OpenAI API key # For frontend cp frontend/.env.example frontend/.env -
Start the application:
docker-compose up -d -
Access the application:
- Frontend: http://localhost:3000
- Backend API: http://localhost:8080
- API documentation: http://localhost:8080/docs
-
Stop the application:
docker-compose down
Running Locally (without Docker)
- Download the models for the languages to use in anonymizer. PII support.
python -m spacy download en_core_web_md
- RUN backend
- Clone repo:
git clone https://github.com/btrcm00/chatbot-with-langchain.git - Add google-cloud-platform credential file to
secure/vertexai.jsonor set up OpenAI API key cd backend- Install required packages:
pip install -r requirements.txt - Create MongoDB database and config environment variables to connect Mongo
- Run:
python -m uvicorn backend.main:app --reload --host 0.0.0.0 --port 8080
- Clone repo:
- RUN frontend
cd frontend- Install packages:
npm install - Start frontend:
npm run dev
For agents
This page has a .md twin and JSON over the API.