Roll out search solutions to aggregate enterprise data
Roll out a search solution to aggregate data from heterogeneous sources and provide a single point of access to information under the best performing conditions.
How to connect different data sources through the internal search engine?
Information search and management is more essential than ever and has been driving companies for more than 10 years to implement search engines to match structured and unstructured information
Data search engines to simplify access and management of data
Coexya implements various search engine solutions, according to the needs and technical environments of its clients, to aggregate data from heterogeneous sources, whether structured or unstructured, and to transform data clusters into unified searchable knowledge bases.
Coexya is an expert in search engine development and implementation
We are able to implement web search engine projects such as enterprise search engines or cognitive search engines with advanced processing of structured and unstructured information via Automatic Natural Language Processing and Machine Learning components.
Cognitive Search integrates the power of artificial intelligence
We have supported the technological evolution of these tools, which have now largely overcome the simple use of document search, to respond to advanced use cases: synthetic views such as 360° vision, technical and competitive intelligence, expert search, dashboards on structured and textual data, etc.
We implement search tools to facilitate quick access to relevant information by providing a single point of access to documents from multiple sources.
- Identify similar documents (close, versions, duplicates)
- Link content to promote bouncing between related documents
- Synthesize information through business-oriented views that summarize the main information and allow for drill down according to the user’s needs and profile
We integrate the latest technology in language data processing: NLP, Machine Learning
The data indexing chain now integrates advanced text analysis components (Natural Language Processing), content classification (machine learning models), and similar document detection, bringing these platforms to a new level of intelligence to extract useful information from raw text.
Gartner’s presentation of search platforms as Insight Engines captures the technological evolution from document search to recommending useful information to the user.
We propose our advice and our technical knowledge to the development of your enterprise search engine solutions
Our sector knowledge and our project experience allow us to operate as a consulting integrator, advising our clients on the key success factors for the deployment of a search engine, regardless of the technologies used.
Discover ConSore, the medical search engine dedicated to cancer
Discover Consore
This video showcases a demonstration of Consore, a powerful search tool for creating patient cohorts.
This tool leverages data from Cancer Centres, enabling the formation of patient cohorts within a single establishment, as well as performing counts on a national scale by querying other Cancer Centres.
Its strength lies in its ability to process multi-format data (both structured and unstructured), allowing for searches based on multifactorial criteria.
White Paper - Evaluation of a RAG solution
In this white paper, Coexya’s experts decipher the issues involved in implementing and optimising a RAG (Retrieval-Augmented Generation) solution. Through concrete methodologies, use cases and automated evaluation tools, this document guides you step by step through the implementation of a reliable framework for testing, adjusting and upgrading your document search augmented AI systems.
Download the white paperNos partenaires
Sinequa offers the key features of an enterprise search platform: a large catalog of connectors to interface with over 150 types of data sources, a comprehensive web administration interface, an extensible user interface template, natural language processing components and machine learning.
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Algolia is a search solution and a complete suite of APIs in a SaaS model that allows teams to easily develop fast and personalized search experiences that meet user and business expectations.
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At the center of the Elastic suite, this powerful and scalable search engine allows to address various use cases, from indexing and searching application logs (key use of the ELK suite), to documentary search or to searches combining structured criteria and full text search.
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The Cloud Search solution allows you to search across an organization's entire data set, while taking advantage of Google Cloud's reliable, high-performance infrastructure.
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Mindbreeze is a leading global provider of AI-based knowledge management solutions. Mindbreeze InSpire redefines how organizations access and utilize information. Powered by advanced AI, it transforms complex data into actionable insights, seamlessly connecting and analyzing information across systems.
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Squirro is a global leader in enterprise-grade generative AI and knowledge graph solutions, specializing in semantic search, insights, and automation. Since its founding in 2012, the company has been at the forefront of AI innovation, empowering organizations with intelligent technology that enhances decision-making and efficiency.
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FAQ: Maximising Data Access with Powerful Search Solutions
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/ How can an internal search engine improve my team's productivity?
The biggest pain point in business is wasted time: employees spend an average of 20% of their day looking for scattered information. An Enterprise Search engine indexes your data silos (DMS, ERP, Cloud, servers) to provide a single point of entry. Thanks to semantic indexing, your teams can find the right information in seconds, regardless of where it is stored.
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/ What is the difference between keyword search and AI-powered semantic search?
Standard search relies on strict keywords, which often leads to irrelevant results. Semantic search, powered by Artificial Intelligence (AI), understands user intent and context. It handles synonyms, typos, and related concepts, ensuring that users access the most relevant content on their very first try.
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/ How can "Search" boost my e-commerce conversion rates?
A search engine like Algolia or Elasticsearch is a direct sales driver. If a customer cannot find a product within 3 seconds, they leave the E-commerce site. By integrating smart autocomplete, dynamic filters (faceting), and personalised recommendations, you reduce bounce rates and significantly increase average order value.
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/ What is RAG (Retrieval-Augmented Generation), and how does it benefit my business?
RAG is an architecture that connects Generative AI (such as GPT) to your own secure data sources. Unlike standard AI, which may “hallucinate” or provide outdated information, RAG forces the AI to draw its answers exclusively from your internal documents (knowledge bases, reports, procedures). It is the ideal solution for building a reliable, up-to-date, and entirely private intelligent assistant.
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/ How does RAG transform the search experience for my employees?
RAG evolves the search engine from a simple list of links into a structured, sourced answer. Instead of browsing through ten different documents to create a summary, the user asks a complex question and receives a direct response, complete with links to the source documents for verification. This drastically reduces information processing time for legal, technical, or HR departments.
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/ Why choose a Search solutions expert in Paris, Lyon, Rennes, Lille, Brest, etc.?
Implementing a search engine requires a technical audit of your data sources. Working with a local partner allows for scoping workshops to be held directly at your offices in in Paris, Lyon, Rennes, Lille, Brest, etc. This geographic proximity makes it easier to fine-tune relevance algorithms according to your specific industry vocabulary and ensures responsive support as your platform evolves.
