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Vector Search Expertise

Semantic Search & RAG

Go beyond simple keyword search. We build intelligent search engines that understand the meaning of your documents and provide precise answers based on your own knowledge base.

10xSearch Speed
+80%Result Relevance
MultiMultilingual Support
ZeroTraining Required

Understand the Intent, Not Just the Words

Traditional lexical search fails against synonyms, internal jargon, and complex queries, wasting valuable time for your employees.

Semantic search uses language models to vectorize your documents. It understands the meaning and intent behind the user's question.

The result? Instant access to institutional knowledge. Your experts find exactly what they're looking for, even if they don't know the exact terminology.

Semantic Search AI
OUR METHODOLOGY

Vector Search Architecture

1

Document Indexing

Extraction and processing of your data silos (PDFs, Confluence, SharePoint) into a unified source.

2

Vectorization (Embeddings)

Transforming text into dense mathematical vectors capturing the semantics of your industry.

3

RAG Engine

Retrieval-Augmented Generation: coupling the vector database with an LLM for synthetic and sourced answers.

Semantic Use Cases

Unlock the value of your informational capital.

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Technical Assistance

Accelerate ticket resolution via instant search in knowledge bases and incident histories.

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Legal Search & Compliance

Intelligent navigation through thousands of contracts to extract specific clauses or obligations.

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Intelligent E-Commerce

Product search engines capable of understanding vague descriptive queries from your customers.

Success Story

Featured Case Study

All Projects
Semantic Search Case Study

Intelligent Semantic Search for Legal Discovery

A vector-based search engine enabling lawyers to query millions of multilingual documents using legal concepts rather than keywords.

40h → 12m
Search efficiency
95%
Relevance accuracy
Read Full Reportarrow_forward

Empowered by industry-leading technology partners

Pinecone
Weaviate
Milvus
Cohere
OpenAI embeddings
Elasticsearch
Pinecone
Weaviate
Milvus
Cohere
OpenAI embeddings
Elasticsearch
Pinecone
Weaviate
Milvus
Cohere
OpenAI embeddings
Elasticsearch
Strategic Consultation

Talk to your data
RAG Engine

Analyze your document silos with our NLP engineers to identify the potential of a sovereign Retrieval-Augmented Generation (RAG) system.

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Sovereign Approach
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RAG Precision
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Agnostic
visibility
Total Privacy

RAG Methodology

01

Analyze

02

Data Audit

03

Architecture

Schedule your Technical Audit

Pick a slot to discuss your data sources (PDF, SharePoint, Wikis) and your search objectives.

Confidential & Secure Session
Knowledge Engineering

Ready to transform your search?

Our document intelligence experts are ready to assess your data maturity and design your vector search engine.

verified_userEnterprise Ready • 24/7 Global Support
Expert IT

Need immediate help?

An IT architect is currently online.

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Need a Strategic Session?

Speak directly with a senior architect to evaluate your technological needs.

Schedule Call (15 min)arrow_forward
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Global Headquarters

6205, Blvd des Grandes-Prairies, St-Léonard, QC, H1P1A5