https://github.com/kantariyaraj/ai_agent_examples
Various AI Agents built using different LLM and AI Agentic frameworks
https://github.com/kantariyaraj/ai_agent_examples
agent ai embeddings genai groq-api huggingface llm ollama pinecone
Last synced: 4 months ago
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Various AI Agents built using different LLM and AI Agentic frameworks
- Host: GitHub
- URL: https://github.com/kantariyaraj/ai_agent_examples
- Owner: kantariyaraj
- License: mit
- Created: 2025-01-06T09:56:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-04T12:53:45.000Z (over 1 year ago)
- Last Synced: 2025-02-24T12:19:51.160Z (over 1 year ago)
- Topics: agent, ai, embeddings, genai, groq-api, huggingface, llm, ollama, pinecone
- Language: Python
- Homepage:
- Size: 8.32 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE
Awesome Lists containing this project
README
# AI Agents Repository
This repository contains various AI Agents built using different LLM models and agentic frameworks.
## Available Agents
### 1. [PDF RAG Agent](pdf_rag_example/)
A Retrieval Augmented Generation (RAG) system that allows users to:
- Upload PDF documents
- Index their content using embeddings
- Ask questions about the documents using Groq LLM
- Get accurate answers based on the document context
### 2. [Simple Chatbot](simple_chatbot/)
A conversational AI chatbot that:
- Uses Groq's Mixtral model for natural language interactions
- Maintains conversation context across multiple messages
- Provides a clean web interface for chatting
- Automatically summarizes long conversations to stay within context window
### 3. [CONFLUENCE RAG Agent](confluence_rag_example/)
A conversational AI chatbot that:
- Uses Groq's model for natural language interactions
- Provides ability to train the model on Confluence page content
- Ask questions about the page content
- Get the answer based on the context
### 4. [MySQL Chat Agent](chat_with_mysql/)
An AI-powered chat interface for MySQL databases that:
- Uses CrewAI framework with Groq's LLM model
- Allows natural language querying of MySQL databases
- Translates questions into SQL queries automatically
- Provides clean web interface for database interactions
- Supports connection to any MySQL database
### 5. [Travel Planning Agent](travel_planner_langgraph/)
An AI travel assistant that:
- Developed using LangGraph
- Collects user information for travel planning
- Create travel itinerary using user preference
- Integrates with Flight and Weather API that provides real time information
- Generates day-by-day travel schedules