> ## Documentation Index
> Fetch the complete documentation index at: https://privai.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 🔍 Intelligent RAG

> Search and generation augmented system for contextual and precise responses

<video controls autoPlay muted loop playsInline src="https://pub-527a5896fbca4bc49bfa3f31bec50ab5.r2.dev/demo_rag_4k.mp4" />

Your AI powered by your own documents

# AI Augmented by your documents

Imagine an assistant capable of responding **precisely to all your questions**, based directly on your own documents: manuals, procedures, guides, internal reports...

Our **Retrieval and Augmented Generation** technology combines intelligent analysis of your content with the power of a generative AI response engine:

* It **reads and understands your documents** to identify the most relevant information.
* It **generates clear and personalized responses**, adapted to your business and your needs.

No more generic or approximate responses: your teams and your customers obtain **reliable and relevant information, instantly**.

Whether for chatbots, virtual assistants, or document analysis tools, this solution transforms your data into an **intelligent knowledge engine** at your service.

## RAG process step by step

**1. 1. Document ingestion**

Collect and centralize all your documents: PDF, Word, Excel, emails, code source.
\[!TIP] Prepare documents with metadata: author, date, category.

**2. 2. Vectorization and indexing**

Transform text into vector embeddings using OpenAI or other models.
\[!TIP] Create a vector index for fast similarity search.

**3. 3. Contextual search**

When a question is asked, the engine searches the most relevant documents via similarity measures.
\[!TIP] Return only the most relevant passages for the context.

**4. 4. Augmented generation**

Use the retrieved passages as context to generate a precise AI response.
\[!TIP] Reduce generic or incorrect responses through contextualization.

**5. 5. Feedback and continuous learning**

Responses can be annotated or validated to improve the model and index.
\[!TIP] Automatic index update and scoring adjustment.

![Descriptive alt text](https://mintlify.s3.us-west-1.amazonaws.com/privai/en/images/rag_chart.png)

## Key advantages

> [card] Guaranteed precision
>
> Responses based exclusively on your real and verified data.

> [card] Maximum security
>
> All your data remains on your servers, never externalized.

> [card] Automatic updates
>
> Seamless integration of new documents without interruption.

> [card] Optimized performance
>
> Instant search even in large volumes of data.

## Technologies used

> [tab] Vector base
>
> * **Pinecone/Chroma**: High-performance vector storage and search
> * **OpenAI Embeddings**: Advanced semantic vectorization
> * **Automatic indexing**: Real-time document updates

> [tab] AI models
>
> * **Llama Index**: Document search framework
> * **GPT-4/Llama 3**: Contextual response generation
> * **Fine-tuning**: Adaptation to your business vocabulary

> [tab] APIs & Integration
>
> * **RESTful APIs**: Seamless integration
> * **Python/Node.js SDKs**: Easy development
> * **Webhooks**: Real-time notifications

## Concrete examples

> [accordion] International order validation
>
> **User question:** "What is the procedure for validating international orders?"
>
> **Analyzed documents:** quality manual, customs procedures, international regulations
>
> **Generated response:**\
> "According to the Q-PROC-INT-001 procedure, international order validation involves:
>
> 1. Verification of customs compliance (DOUAN-2024 document)
> 2. Applicable incoterms validation
> 3. Required export license control
>
> Estimated duration: 2-3 working days."

> [accordion] Internal recruitment procedure
>
> **User question:** "How does the internal recruitment process work?"
>
> **Analyzed documents:** HR guide, internal policies, evaluation forms
>
> **Generated response:**\
> "The internal recruitment process includes:
>
> 1. Submission of application via internal portal
> 2. Interview with department manager
> 3. HR department validation and job profile update
>
> Estimated duration: 1-2 weeks."

> [accordion] Access to financial information
>
> **User question:** "How to obtain a quarterly financial report?"
>
> **Analyzed documents:** accounting procedures, ERP guides, confidentiality policies
>
> **Generated response:**\
> "To obtain a quarterly financial report:
>
> 1. Log in to the ERP portal with your credentials
> 2. Select the period and report type
> 3. Export the document in PDF or Excel format
>
> Average delay: immediate after generation."

> [accordion] Internal technical support
>
> **User question:** "How to resolve a network printer failure?"
>
> **Analyzed documents:** IT guide, maintenance procedures, previous tickets
>
> **Generated response:**\
> "Steps to resolve a network printer failure:
>
> 1. Check network connection and power
> 2. Restart the print server
> 3. Consult error logs and apply documented fixes
>
> Estimated resolution: 30-60 minutes depending on complexity."

## For optimal performance, the RAG requires a structured and well-organized document base. We accompany the implementation of your document index.

> [!TIP]
>
> Maximize efficiency by enriching your documents with metadata: author, date, category, keywords.


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