1. Virtual Assistant using knowledge Graph
Virtual Assistant A next-generation virtual assistant powered by a knowledge graph to deliver highly accurate and context-rich product information. This AI-driven tool utilizes natural language processing and structured data relationships to provide precise answers about product features, specifications, and availability.
2. Retrieval Augmented Generation (RAG)
A sophisticated AI solution that combines the power of information retrieval with advanced text generation capabilities. This project focuses on enhancing generative AI by integrating external knowledge sources, ensuring accurate, contextually relevant, and factually supported responses. Ideal for applications like knowledge management, customer support, and research assistance, this RAG implementation bridges the gap between static data and dynamic generation.
3. Agentic RAG
An evolution of traditional Retrieval Augmented Generation, this project introduces agentic capabilities to the RAG model. The system is empowered to take autonomous actions based on retrieved data, enabling dynamic decision-making and proactive task execution. Designed for complex workflows and multi-step processes, Agentic RAG is the ultimate solution for scenarios that require intelligent adaptability and task orchestration.
4. LangChain-Based RAG Solution
A robust Retrieval Augmented Generation framework built on LangChain, a powerful library for chaining LLM prompts. This project leverages LangChain’s modularity to create scalable, customizable RAG pipelines tailored to specific use cases. From document querying to conversational AI, this solution demonstrates the flexibility of LangChain in building next-generation AI-powered applications.
5. Haystack-Based RAG Solution
An innovative Retrieval Augmented Generation implementation using Haystack, a highly adaptable framework for building search systems. This project showcases how Haystack’s integration with various data stores and retrievers can enhance RAG performance. By combining Haystack’s powerful retrieval capabilities with generative AI, this solution delivers fast, accurate, and context-aware responses, ideal for enterprise-grade applications like intelligent search and automated documentation.