{"id":23960582,"url":"https://github.com/kantariyaraj/AI_Agent_Examples","last_synced_at":"2025-10-06T09:30:19.091Z","repository":{"id":271218237,"uuid":"912742985","full_name":"kantariyaraj/AI_Agent_Examples","owner":"kantariyaraj","description":"Various AI Agents built using different LLM and AI Agentic frameworks","archived":false,"fork":false,"pushed_at":"2025-02-04T12:53:45.000Z","size":8725,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-07T05:06:34.368Z","etag":null,"topics":["agent","ai","embeddings","genai","groq-api","huggingface","llm","ollama","pinecone"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kantariyaraj.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-06T09:56:01.000Z","updated_at":"2025-02-21T11:20:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"3c4046b0-c653-4b4d-94e8-5f87813b4280","html_url":"https://github.com/kantariyaraj/AI_Agent_Examples","commit_stats":null,"previous_names":["rajkumar-kantaria/ai_agent_examples","kantariyaraj/ai_agent_examples"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kantariyaraj/AI_Agent_Examples","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kantariyaraj%2FAI_Agent_Examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kantariyaraj%2FAI_Agent_Examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kantariyaraj%2FAI_Agent_Examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kantariyaraj%2FAI_Agent_Examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kantariyaraj","download_url":"https://codeload.github.com/kantariyaraj/AI_Agent_Examples/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kantariyaraj%2FAI_Agent_Examples/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278585892,"owners_count":26011070,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-06T02:00:05.630Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agent","ai","embeddings","genai","groq-api","huggingface","llm","ollama","pinecone"],"created_at":"2025-01-06T19:30:07.311Z","updated_at":"2025-10-06T09:30:19.087Z","avatar_url":"https://github.com/kantariyaraj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Agents Repository\n\nThis repository contains various AI Agents built using different LLM models and agentic frameworks.\n\n## Available Agents\n\n### 1. [PDF RAG Agent](pdf_rag_example/)\nA Retrieval Augmented Generation (RAG) system that allows users to:\n- Upload PDF documents\n- Index their content using embeddings\n- Ask questions about the documents using Groq LLM\n- Get accurate answers based on the document context\n\n### 2. [Simple Chatbot](simple_chatbot/)\nA conversational AI chatbot that:\n- Uses Groq's Mixtral model for natural language interactions\n- Maintains conversation context across multiple messages\n- Provides a clean web interface for chatting\n- Automatically summarizes long conversations to stay within context window\n\n### 3. [CONFLUENCE RAG Agent](confluence_rag_example/)\nA conversational AI chatbot that:\n- Uses Groq's model for natural language interactions\n- Provides ability to train the model on Confluence page content\n- Ask questions about the page content\n- Get the answer based on the context\n\n### 4. [MySQL Chat Agent](chat_with_mysql/)\nAn AI-powered chat interface for MySQL databases that:\n- Uses CrewAI framework with Groq's LLM model\n- Allows natural language querying of MySQL databases\n- Translates questions into SQL queries automatically\n- Provides clean web interface for database interactions\n- Supports connection to any MySQL database\n\n### 5. [Travel Planning Agent](travel_planner_langgraph/)\nAn AI travel assistant that:\n- Developed using LangGraph\n- Collects user information for travel planning\n- Create travel itinerary using user preference\n- Integrates with Flight and Weather API that provides real time information\n- Generates day-by-day travel schedules","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkantariyaraj%2FAI_Agent_Examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkantariyaraj%2FAI_Agent_Examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkantariyaraj%2FAI_Agent_Examples/lists"}