Turn all your documents, manuals, policies and websites into the brain of your AI agent. With Retrieval-Augmented Generation (RAG), your agent sees up-to-date information instantly and responds with greater than 95% accuracy, without hallucinating, without inventing data.
Unlike conventional LLMs that generate answers based solely on your training, NetVoice uses RAG to query your specific knowledge base in each conversation. The result: accurate, up-to-date answers traceable to the exact source.
The system only responds with verified information from your documents. When you are not certain, you say so explicitly and escalate the query instead to invent an answer. Goodbye to the model's hallucinations.
Upload a new document and in less than 60 seconds it is available for the agent. You do not need to re-train the model or wait for update cycles. Change a policy today and the agent knows about it today.
The vector engine understands the meaning of the questions, not just the exact words. "When does my warranty expire?" and "limit date for coverage of product" search for the same thing and get the same correct answer.
Six capabilities that transform your documents and information into highly precise conversational intelligence.
Upload manuals, contracts, policies, catalogs and procedures in PDF, Word, Excel or PowerPoint. The system extracts text, OCRs images and tables, divides the content into semantic fragments and automatically indexes it for instant search.
Configure URLs for your website, blog, help center or technical documentation and the system automatically crawls them. Defines the depth of the crawl, the update frequency and the sections to include or exclude. The web content is always kept up to date.
Search engine based on high-dimensional embeddings that understands the meaning and context of the questions. Retrieves the most relevant pieces of information in less than 500 ms, even in knowledge bases with millions of documents.
Each new or updated document is available to the agent in less than 60 seconds. No retraining, no deployment cycles, no maintenance windows. Change a policy, upload the PDF and the agent knows it immediately.
Indexes documents in Spanish, English, Portuguese, French and more than 50 additional languages. The agent responds in the customer's language by querying the correct knowledge base, or searches all bases simultaneously when content is not available in a specific language.
Each version of a document is registered with timestamp and author. You can check what information the agent had available on a specific date, roll back to previous versions, and schedule document activation for future dates (ideal for price or policy changes).
Four stages of the RAG pipeline that convert any document into high-fidelity conversational knowledge.
Upload your documents via web interface, API or direct integration with Google Drive, SharePoint or Confluence. The system accepts PDF, Word, Excel, PowerPoint, HTML, Markdown and plain text. It also configures website URLs for automatic crawling and connectors to external databases or APIs.
The processing engine applies OCR to extract text from images and tables, divides the content into coherent semantic fragments (chunks), generates high-dimensional embeddings for each fragment using state-of-the-art language models, and enriches each vector with origin, date and version metadata.
Vectors are stored in an optimized vector database (Pinecone, Weaviate or Qdrant depending on size). Semantic indexes are built that allow the most relevant fragments to be recovered for any query in less than 500 ms, even with millions of indexed documents. The indexes are updated in real time.
When the customer asks a question, the system converts the question into a query vector, retrieves the most relevant fragments from the knowledge base, combines them with the context of the conversation, and generates a natural language response that cites the specific sources. If trust is low, it automatically escalates.
How different organizations leverage the RAG knowledge base to deliver perfect answers at scale.
A software manufacturer indexes all of its technical documentation: user manuals, release notes, troubleshooting guides, and knowledge base articles. The AI agent answers 85% of technical support tickets without escalating to humans, citing the exact article from the documentation. Complex errors scale with the complete previous diagnosis already made by the AI.
A retailer with 50,000 SKUs indexes product catalogs, return policies, terms and conditions, frequently asked questions and warranty manuals. The agent answers questions about specifications, availability, prices, delivery times and return processes with always updated information from the catalog and the ERP.
A government entity indexes regulatory frameworks, paperwork requirements, administrative forms and procedures. Citizens ask in language natural: "What documents do I need to renew my passport?" and get answers accurate with exact steps, updated costs and process times, without having to read complex legal documents.
Companies index HR policies, employee manuals, procedures internal information, benefits and onboarding guides. New employees ask the agent about vacations, benefits, internal processes and company policies. The AI responds with complete precision, citing the exact policy document, freeing the HR team from answering repetitive questions.
Beyond basic indexing, NetVoice offers advanced tools to manage large volumes of knowledge with precision, security and total control.
Defines which agents can access which knowledge bases. The sales agent only sees the catalog, the HR agent only sees the internal policies. Granular segmentation by department, region or customer type.
Complete dashboard with the most frequently asked questions, the most consulted documents, unanswered questions (knowledge gaps) and precision by category. Identify what information is missing from your knowledge base.
Integrated tool to edit, approve and publish knowledge content. AI suggests improvements to writing to optimize retrieval, detects inconsistencies between documents and alerts about outdated information.
Upload your first documents today and watch your agent start responding with 95%+ accuracy in less than an hour.