SellMore Ins.AI.ghts

The best chosen for your company

ABOUT US

Supporting AI technologies

We are a software house specialized in sales processes. For over 15 years we have been developing mobile and web order collection apps for companies that need to automate, govern and integrate CRM, catalog and orders data from their distribution network (agents, customers, distributors, dealers, …), offering innovative solutions and adopting the latest technologies.

Through a continous commitment to research and development, we have acquired and are deepening significant expertise in the field of Artificial Intellingence (AI). Our experienced team of engineers and technicians work passionately to implement artificial intelligence and machine learning solutions that improve efficiency, automation and prediction within our clients’ projects.

With a solid technology foundation and a collaboration-oriented approach, we are ready to guide your business towards an AI-driven future.

We chose the best, for you

SellMore Ins.AI.ghts is not a common product, but it is an architecture, a place where some selected technologies dialogue.

INNOVATION

What are we using today within our applications?

We combine open source technology and customizable software.

AMAZON WEB SERVICES AND BEDROCK

AWS and Amazon Bedrock

Amazon Bedrock is a service that offers a choice of high-performance foundation models (FM) from leading AI companies (such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon). In this way, Bedrock provides a broad range of features needed to create generative AI applications, simplifying development and maintaining security, privacy and responsible AI. 

caricamento documenti ai

RAG: TEXT GENERATION

Retrieval Augmented Generation

“Retrieval-augmented generation” (RAG) is an artificial intelligence model that combines elements of retrieval and text generation to produce more informative and consistent responses. This allows you to create answers that are richer in content and better contextualized than simple generative models.

RAG has applications in several areas, such as question answering, descriptive text generation and context-based conversation.

Immagine che rappresenta la raccolta di un questionario post visita dal cliente

TYPESENSE: TEXT AND IMAGE SEARCH

Typesense for Fast Research on Site

We tried different tools, but most of them were either too low performing or too expensive. This is why we’ve opted for Typesense, an open-source search engine designed to provide a fast search experience, for web and mobile applications.

It is particularly suitable for scenarios where real-time text or figurative search is needed on large datasets, such as e-commerce product search engines or content search applications. We’ve tried it. It responds in 20/30 milliseconds by querying a database of two million items in 16 languages.

Immagine che rappresenta la raccolta di un questionario post visita dal cliente

TYPESENSE AND RAG

Conversational and semantic research

Typesense has the ability to answer questions in free form, with conversational responses, while maintaining context for subsequent questions and answers. Think of this feature as a GPT-style question and answer interface but with your own data. Typesense uses Retrieval Augmented Generation (RAG) and a vector database, and is integrated with an LLM for formulating conversational responses.

OUR SOLUTION

SellMore Ins.AI.ghts: RAG and LLM

SellMore Ins.AI.ghts is an artificial intelligence (AI) framework developed by Temovo, designed to improve the efficiency and customization of large LLM language models, such as ChatGPT. At Temovo, we have integrated the framework into several LLM templates in order to create a customized virtual assistant.

They use SellMore

Come meet SellMore!

Do you want to discover SellMore’s technologies and features, and see how they can be tailored to the specific needs of your company? Book a free demo with one of our experts to see the solution in action!

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