How to build an efficient RAG pipeline quickly: the winning combo of Magellan Consulting & Nuclia

RAG stands for Retrieval-Augmented Generation, it combines the benefits of Large Language Models (LLM) with the power of a search engine. Its objective is to provide relevant, accurate and sourced answers based on a controlled document corpus.

Indeed, even though LLMs can handle natural language, their inner knowledge is based on the initial data that were used to train them which might be inaccurate or obsolete.

RAG fixes this problem by  clearly splitting apart the roles: the search engine provides accurate data, while the LLM just phrases the answer.

Many of our customers face the same challenge: how to set up a search engine able to cover large and complex document corpus?

The RAG solution is particularly relevant for two main reasons.

Firstly, it uses generative AI, so it is able to produce clear and concise answers by aggregating information retrieved from various sources.

Secondly, it indicates what are the sources that have been used to produce the answer, allowing the user to check the original information.

This approach has already been successfully implemented for our customers in several sectors: legal and compliance, industry and engineering, banking and finance, as well as customer support and assistance.

Avoiding the technical complexity of setting up a full in-house RAG pipeline (extracting content from various file formats, semantic indexing, search engine optimization, LLM integration, …), Nuclia offers you an end-to-end solution out of the box, including:

• An advanced extraction and indexation module, able to process a large number of formats (text, standard office suite files, web pages, video files, audio recordings),
• A vector database, optimized to store semantically indexed contents,
• A flexible integration of the major third-party LLMs (OpenAI, Anthropic, Google…) and self-hosted LLMs,
•  A user-friendly web interface allowing you to rapidly prototype the search experience you want to provide to your end users.
• An integrated quality control system, based on a semantic model, checking the relevancy and the accuracy of the generated answers.

 

Accessible through an API, Nuclia eases the deployment of RAg applications, speeds up innovation and guarantees to your company a complete control on the AI generated answers.

 

Above its technical benefits, Nuclia offers a solution that is particularly well-suited to companies wishing to control their costs while promoting the skills development of their in-house technical teams. By involving them closely from the earliest stages of the project and throughout development, Nuclia enables in-house staff to gradually acquire the skills needed to effectively manage the evolution and operational maintenance of the solution over the long term.

 

Moreover, this platform provides fine-tuned management of complex document databases, as well as advanced customization to meet the specific requirements of business users, while guaranteeing a high level of data security and confidentiality.

To ensure the successful development of a high-performance RAG solution, Magellan Consulting recommends building a multi-disciplinary project team from the very beginning, able to meet the challenges specific to this type of project.

The first important step is to let the company’s experts identify the relevant contents that must be integrated into Nuclia. These experts have a key role: they identify, prioritize, and validate the necessary information sources for the project.

Once the information selection is complete, a Data Engineer must prepare the documents for the ingestion, the important part being to define the proper metadata to make sure the information can be properly filtered according to the future use cases.

In parallel, a frontend developer and a UX designer can create a user interface that will fit the specific needs of the end users.

Throughout the project, Magellan Consulting ensures rigorous coordination by implementing an agile methodology structured around weekly sprints. This approach ensures that everyone involved has a clear vision of their tasks, and that development progresses smoothly and transparently.

The collaborative and iterative approach, inspired by Lean Startup methodology, is also an essential best practice. By regularly organizing workshops and focus groups with business teams and future end-users, Magellan Consulting gathers concrete feedback that enables us to continually adjust the solution to better meet real user needs.

Last but not least, the responsive and constant support provided by Nuclia’s teams is a key success factor. Their constant availability and ability to respond effectively to the technical and functional issues encountered throughout the project ensure optimal collaboration between all the teams involved, guaranteeing the performance, quality and rapid adoption of the solution developed.