RAG (Retrieval-Augmented Generation) solutions from AI professionals
Developing a RAG solution. Optimizing your Large Language Model
Avoid AI hallucinations - get accurate and reliable responses from your language models. RAG retrieves data from vast databases, whether you’re dealing with thousands of documents or specialized knowledge. If you’re ready to take control of your data, we’ll help you integrate RAG into your operations.
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RAG solutions from AI experts
RAG integrates deep learning techniques with your database management to refine data retrieval and enhance response accuracy. Whether you're developing sophisticated chatbots, dynamic search engines, or personalized recommendation systems, our RAG solutions are designed to bring precision, efficiency, and scalability to your operations.
Why do you need RAG?
Retrieval-augmented generation is proven to be a cost-effective solution for improving the accuracy and relevance of your LLMs' responses by connecting them to external data sources. Our solutions are easy to implement and allow for flexible data sources, making sure your LLMs are always up-to-date and accurate.
When do you need RAG?
Expert custom RAG solutions can effectively address the following use cases:
With RAG, your systems will retrieve information from extensive databases for more accurate and context-specific responses.
RAG benefits
Our RAG solutions offer numerous advantages for your business that you wouldn’t want to miss out on. Here are a few:
Reduce hallucinations
RAG uses external data sources to provide more accurate, contextually relevant answers than traditional LLMs.
Reduced manual data handling
RAG eliminates the need for manual searches through extensive data sets by automating the retrieval process.
Cost-effective integration
RAG can be efficiently integrated into your existing systems without the need for expensive retraining of LLMs.
Improved user trust
The ability to retrieve relevant information and provide source attribution makes your users feel confident in the responses they receive.
Scalability for large data sets
RAG systems can effectively manage and use large databases without compromising performance or accuracy.
Immediate access to current info
Unlike static LLM training data, RAG improves access to the latest data, trends, or research for more relevant responses.
When information overload is a constant challenge, the ability to quickly access accurate, context-specific data is a game-changer. What you need is RAG.
Hire usReal-world RAG cases provided by Merge
Our agency has successfully helped our clients solve complex problems through custom RAG-powered retrieval systems. Here are a couple of examples:
Supporting AV installers with technical documentation
US AV installers needed a way to quickly access documentation during their installations. We developed a chatbot specifically designed to retrieve the most relevant technical documents based on their queries.
Legal chatbots for military personnel
We created a legal chatbot that retrieves answers from a comprehensive database of legal questions and military regulations so that military personnel could receive relevant and personalized legal advice.
Why choose Merge?
Choosing the right partner for RAG solutions can make all the difference. Here’s why Merge stands out:
We bring relevant experience in implementing RAG solutions and other LLM-specific projects across various industries.
Trusted by startups with more than $100 million in funding
“The collaboration between our two teams has been great. It’s very easy to work with the Merge teammates. With Merge, we’re shipping more iteratively, working faster.”
Ryan Mick, Head of Product Design at Truemed
Design for SaaS & Fintech
Why choose Merge for your product design:
Building world-class product interfaces
Partnership & collaboration culture
Your conversions & growth is our main focus
Reliable delivery built on experience
