📄 Enable smart conversations with documents, images, and audio files using this advanced Retrieval-Augmented Generation system.

📊 Streamline data collection and analysis with an integrated system that processes, stores, and visualizes reports through Excel, Python, and Power BI.

🔍 Build a production-ready RAG system for multi-modal search across text, images, audio, and video using LangChain and LLMs for effective knowledge retrieval.

A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai

🚀 Build a production-ready Agentic RAG system with LangGraph using minimal code and streamline your AI development process.

🌐 Rethink Multimodal Large Language Models design and scaling under data constraints with NaViL, enhancing efficiency and performance through Native Training.

📚 Enhance technical documentation queries with DocsChat RAG, a robust Retrieval-Augmented Generation system featuring hybrid search and precise citations.

🤖 Drive autonomous DeFi trading with the Nex-T1 multi-agent orchestration framework for efficient, decentralized financial strategies.

🗄️ Streamline data analysis with ConsciousDB, a vector database that integrates directly with your models for enhanced performance and ease of use.

🗄️ Run a self-hosted Qdrant vector database using Docker with easy setup, persistent data, and integration for smooth service connections.

🔍 Access multiple knowledge sources with this Streamlit chatbot powered by Groq LLM and LangChain for accurate and quick information retrieval.

🎬 Discover movies effortlessly with CineRAG, a RAG system that combines natural language queries and intelligent retrieval for personalized recommendations.

🤖 Build and deploy AI agents effortlessly with Microsoft’s multi-language framework for .NET and Python, supporting simple chats to complex workflows.

🧠 Transform natural language into SQL queries seamlessly with Cognita, an intelligent app that simplifies database interactions for everyone.

🩸 Enhance your FiveM server with realistic evidences like blood, fingerprints, and magazines, adding depth to gameplay and investigations.

🚀 Build and deploy advanced multimodal retrieval-augmented generation systems with RAG-Anything, your all-in-one framework for enhanced AI solutions.

🚀 Explore GraphRAG by building customized retrievers and agents using Neo4j for advanced semantic and hybrid search solutions.

🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.

📊 Estimate memory usage for GGUF models in your browser, using local files or remote URLs, with no server needed and seamless performance.

🐱 Build a simple Retrieval-Augmented Generation system with embeddings, vector search, and optional reranking using Ollama and HNSWVectorDB.