LangTec’s RAG Solution Ready for Live Demonstration

Large organisations often struggle with making relevant insights available from their existing internal knowledge stores such as documents, presentations, memos, e-mails, databases etc. Clearly, an efficient knowledge management solution must go well beyond standard keyword search.

In recent years, Retrieval Augmented Generation (RAG) has attracted significant attention to address this challenge. RAG-based systems enable efficient and cost-effective access to extracted information via a simple natural-language chat interface. With a RAG solution, users can simply converse with a chatbot and ask questions. The answers are generated based on information contained in the uploaded documents.

LangTec has now set up an in-house RAG solution with a chatbot that delivers context-aware responses to user queries. Its responses centre around knowledge obtained from a document vector store attached to it. We employ cutting-edge language models that can be operated locally, thus ensuring data privacy, and context retrieval mechanisms that are super-effective while fast. LangTec’s RAG eco-system is easy to set up and install and has been designed in a fully modular and scalable fashion, ready for cloud or on-premise operation.

Contact us today for a free demo today and see how your company documents can be queried via an intuitive, easy-to-use chat interface.