Crypto & DeFi · GitHub ·3 ★

Mini-Chatbot-using-LangChain

Mini Chatbot (Rule-Based + LLaMA 3.2) A simple rule-based chatbot implemented in Python that combines pattern matching with LLaMA 3.2 for enhanced language understanding. It can respond to user queries using predefined rules while offering more context-aware replies via LLaMA integration.

Details

Author
arupa444
Category
Crypto & DeFi
Platform
GitHub
Framework
langchain
Language
jupyter notebook
Stars
3
First indexed
2026-05-15
Last active
2025-08-05
Directory sync
2026-05-15

Overview

Mini Chatbot (Rule-Based + LLaMA 3.2) A simple rule-based chatbot implemented in Python that combines pattern matching with LLaMA 3.2 for enhanced language understanding. It can respond to user queries using predefined rules while offering more context-aware replies via LLaMA integration.

Quick start

git

git clone https://github.com/arupa444/Mini-Chatbot-using-LangChain

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Mini-Chatbot-using-LangChain can do

  • Defi — Interacts with decentralised finance protocols.

Frequently asked questions

What is Mini-Chatbot-using-LangChain?
Mini Chatbot (Rule-Based + LLaMA 3.2) A simple rule-based chatbot implemented in Python that combines pattern matching with LLaMA 3.2 for enhanced language understanding. It can respond to user queries using predefined rules while offering more context-aware replies via LLaMA integration.
How do I install Mini-Chatbot-using-LangChain?
Use git: `git clone https://github.com/arupa444/Mini-Chatbot-using-LangChain`. Full setup details on the source page linked above.
Is Mini-Chatbot-using-LangChain open source?
Mini-Chatbot-using-LangChain is published on GitHub.
What are alternatives to Mini-Chatbot-using-LangChain?
Comparable agents include valuecell, OpenAlice, yubikey-agent. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Mini-Chatbot-using-LangChain is sourced from GitHub, published by arupa444.

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