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triple_seven_slots_game
triple_seven_slots_game PublicTriple Seven Slots Game in Flutter
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Charge-Point-Simulator-via-OCPP-2.0.1
Charge-Point-Simulator-via-OCPP-2.0.1 PublicThis is a emulator for huge numbers of charge points, that connect to central system through web socket and implement OCPP 2.0.1
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evc_google_maps_demo
evc_google_maps_demo PublicFlutter Electric Vehicles Charging Stations Map Demo
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ocpp-node-ts
ocpp-node-ts PublicTypescript package implementing the JSON version of the Open Charge Point Protocol (OCPP). Currently OCPP 2.0.1 is supported.
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BDD-Charge-Point-Tester-via-OCPP-J-
BDD-Charge-Point-Tester-via-OCPP-J- PublicOCPP Charge Point Tester on Cucumber is a software tool that is designed to simulate Central System in the Open Charge Point Protocol (OCPP) 1.6 specification using the Cucumber testing framework.
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A collection of demonstrations showcasing different patterns for implementing multi-agent workflows using LangGraph. Each example highlights specific orchestration approaches to help developers understand and build collaborative AI systems.
- langgraph_demo_app_with_self_reflective_rag Public
A self-reflective and adaptive RAG system that dynamically routes queries between web search and vector retrieval, assesses document relevance, checks for hallucinations, and ensures answer quality using a graph-based flow architecture.
- langgraph_qa_with_graph_db_showscase Public
A showcase implementation demonstrating how to build an intelligent Q&A system using LangGraph and Neo4j Graph Database. This project combines the power of Large Language Models (LLMs) with graph database capabilities to answer questions about movie data.
- fullstack_llamaindex_demo Public
This application is a full-stack document indexing and retrieval system that allows users to upload documents, index their content, and perform natural language queries against the indexed documents. It utilizes LlamaIndex, OpenAI embeddings, and a modern React frontend to provide an interactive experience for semantic search and document retrieval
- advanced_rag_techniques Public
This repository contains a series of lessons demonstrating advanced Retrieval-Augmented Generation (RAG) techniques using LangChain. Each lesson focuses on a specific approach to improve retrieval quality and efficiency.
- advanced_rag_techniques_trulens_evaluating Public
This repository contains a collection of scripts demonstrating advanced Retrieval-Augmented Generation (RAG) techniques using LlamaIndex and OpenAI. Each lesson focuses on a specific aspect of modern RAG systems, providing hands-on examples and evaluation methods and evaluation capabilities using TruLens
- llamaindex_showcase Public
This repository contains a collection of demonstration projects showcasing various capabilities and applications of LlamaIndex, a powerful data framework for building LLM applications with custom data. Each tutorial focuses on a specific aspect of LlamaIndex functionality, ranging from basic usage to advanced features like RAG, chatbots, etc.
- ai-study-companion-app Public
Flutter mobile and web app for simplifying learning process. Capable of working with pdf, jpeg, txt, doc files. Can summarize documents and create quizes based on summary
- gemini-function-calling-spring-ai-showcase Public
Gemini Function Calling in Vertex AI. Designed using Java 21, Spring Boot, and LangChain4J, this cutting-edge service integrates Gemini Call Function with external APIs to deliver seamless search capabilities for flights, hotels, and attractions
