Digital Transformation UAE
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AI-Powered Multilingual RAG System2026-10-24T13:37:32+00:00

AI-Powered Multilingual RAG System

We build Retrieval-Augmented Generation systems that let citizens ask questions about official government documents in their own language and receive accurate answers as text and audio.

Our Comprehensive Retrieval-Augmented Solutions

Our RAG development services deliver secure, scalable, and accurate document intelligence, from ingestion to spoken answers.

Multilingual Document Q&A

Citizens query government documents in their preferred language. The system retrieves the most relevant passages and generates answers grounded in the official source, so responses stay reliable.

Intelligent Chunk Retrieval

Documents are split into meaningful chunks, converted into high-quality multilingual embeddings and stored in Pinecone for fast, precise semantic search.

Bodo ↔ English/Hindi Translation

Built-in translation connects Bodo with English and Hindi, so questions and answers move between languages without losing meaning.

Text-to-Speech Audio Answers

Every answer can be delivered as audio as well as text, making government information accessible to people who prefer listening or have limited literacy.

Capabilities That Set It Apart

The platform processes official documents and answers citizens’ questions in text and audio, in the language they choose.

Official Document Processing
Reliable Multilingual Q&A
Bodo ↔ English/Hindi Translation
Multilingual Embeddings
Pinecone Chunk Retrieval
Gemini Answer Generation
Text-to-Speech Output
Built for Government
Text Answers
Audio Answers

Our Technology Leadership

We combine proven AI components into one dependable pipeline that delivers accurate, multilingual answers.

Gemini LLM
Pinecone Vector Database
Multilingual Embeddings
Translation Engine
Text-to-Speech

How the RAG Workflow Works

From a citizen's question to a spoken answer, in six steps.

  1. 1
    Document ingestion Official government documents are processed and split into searchable chunks.
  2. 2
    Multilingual embeddings Each chunk is converted into a high-quality embedding that works across languages.
  3. 3
    Translation when needed Bodo questions are translated to English or Hindi, and answers are translated back.
  4. 4
    Retrieval with Pinecone The most relevant chunks are found by semantic similarity to the question.
  5. 5
    Answer generation with Gemini Gemini writes a clear answer based only on the retrieved document content.
  6. 6
    Text and audio output The citizen receives the answer as text and as generated speech.

Architecture & Delivery

An end-to-end design built for accuracy, language inclusion and public-sector reliability.

Reliable Answers

Answers come from retrieved passages of official documents, which keeps responses consistent with the source.

Language Inclusion

Citizens use the language they are comfortable with, including Bodo, with translation to and from English and Hindi.

Accessible Audio

Text-to-speech turns every answer into audio, widening access to government information.

Where It Fits

Future-ready document intelligence for departments that serve citizens at scale.

Citizen Service Portals

Let residents ask questions about schemes, notices and policies instead of searching documents.

Government Departments

Give staff fast, accurate answers from circulars, orders and manuals.

Public Information Helplines

Support voice-first access with audio responses in the caller’s preferred language.

Frequently asked questions?

What is a multilingual RAG system?2026-10-24T11:46:12+00:00

It retrieves relevant passages from your documents and uses an LLM to write an answer from them. Ours also translates between languages and speaks the answer aloud.

Which languages does the system support?2026-10-24T11:45:41+00:00

It supports multilingual question answering, with translation between Bodo and English or Hindi.

Can citizens receive answers as audio?2026-10-24T11:45:09+00:00

Yes. Text-to-speech generation delivers each answer as audio as well as text.

How does the system find the right information?2026-10-24T11:44:05+00:00

Documents are chunked and embedded, stored in Pinecone, and the most relevant chunks are retrieved for each question before Gemini writes the answer.

Ready To Make Government Information Accessible?

Let citizens ask in their own language and hear accurate answers in text and audio.

Ready to Build Your RAG System?

Share your documents and languages, and we will design the right solution.

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