About knowledge-hub.eco
A Conversational AI demo application that changes the way you find and interact with information in the workplace.Conversational AI has been transforming the way employees access information in the workplace, enabling them to engage with machines in a more “natural,” sophisticated way.
Conversational AI for the workplace should ensure that answers are not only precise, they also are comprehensive and able to provide employees with the most relevant information to make important decisions and complete tasks. Enter Graph RAG, a technological approach which combines knowledge graphs and large language models (LLMs) to strengthen the output of Conversational AI. Graph RAG uses natural language processing and semantic search to find documents based on the user’s intent of the query, as well as generates new content about this topic while in dialogue with the “bot.”
Now we are opening a new chapter in the history of search which gets nearer to the futuristic ideal from the TV series Star Trek: "Computer! Give me an answer to my question!" The interplay of semantic search, search assistants, and retrieval-augmented generation is creating a new kind of human-machine interaction with stored knowledge.
Knowledge-hub.eco demos the Graph RAG approach so that you can play around with its advantages yourself. Built on the PoolParty Team’s 15+ years of expertise in knowledge graphs and natural language processing, knowledge-hub.eco allows you to leverage the high conversational performance of an LLM with the reliability and trust of a knowledge graph.
A fundamental new search experience with a Graph RAG assistant
Searching for a document can be a rather lengthy process that includes having to ask the right questions, understanding the results, and coming up with conclusions based on those results.
Knowledge-hub.eco shortens this process considerably, providing assistance at every step. now combines three groundbreaking innovations in search: Prompt Engineering, Semantic Search and LLM. Graph RAG changes both the way we search and the way we receive and evaluate results. Searching for keywords and scrolling through lists of results are now history.
Retrieval Augmented Generation Search Experience
In the prompt field, auto complete and term concept suggestions appear to help you formulate your question. Thanks to the additional semantic information provided, the immediately generated answer delivers results that reflect the context and search intent. The engine’s ability to further deepen the search makes it possible to understand the knowledge offered and at the same time to concentrate the question more on the desired information they seek.
Finally, a recommendation algorithm identifies documents in the database or drive that best match the result of the human-machine dialog and returns them as a final conclusion.
Each step along the way produces additional links for research and knowledge enhancement.
How knowledge-hub.eco impacts your work
Time to insight
A combination of AI assistants ensures that processable knowledge is presented immediately after submitting the query. Where conventional searches can only offer lists of results, knowledge-hub.eco already provides summarized facts.
Relevancy and trust
The semantic core of the search engine ensures that results remain relevant in relation to the user’s company or domain context. The underlying knowledge model ensures higher transparency and traceability as well as a minimum of AI artifacts. Users can access the model's sources, which promotes trust in the content and lets users verify its accuracy.
Savvy querying for the untrained
The LLM assistant picks up employees at their current level of knowledge and enables on-the-fly exploration and learning. Untrained personnel can begin using and accessing knowledge from the company drive regardless of their technical language or how precise they are with their queries.
An AI search assistant that works for you!
A Graph RAG is the best choice if you want to harness the developments of Generative AI for your company. It uses AI technologies where assistants can be used to simplify and shorten processes and it relies on semantic technologies where fact accuracy and machine training are required.
Ready to have your own search assistant in your organization?
What we have demonstrated here is also possible with your company's own knowledge base. We develop GenAI-supported search, recommendation, and assistants for you.
Are you looking for IT tools for your ESG strategy?
knowledge-hub.eco is part of our toolbox that can support you to report on ESG topics and remain compliant with regulations. Our tools help you work with the dizzying world of ESG more easily.