Agentic WhatsApp RAG for KSA — Accurate, Secure, Multilingual

Agentic WhatsApp RAG for KSA — Accurate, Secure, Multilingual

August 1, 2025
AI Enablement WhatsApp Agentic RAG Logo
Project Overview

We built a WhatsApp-first Agentic RAG for an AI Enablement Program in the KSA market. Knowledge is ingested from Google Drive via an automated pipeline with hash-based versioning to keep sources fresh. Retrieval quality is boosted with contextual embeddings (per Anthropic’s approach) plus metadata enrichment. A hybrid search stack (keyword + vector) with Cohere reranking improves precision, diversity, and final answer quality. The system generates secure download links for metadata files and supports Arabic and English end-to-end

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Key Challenges

Challenges We Addressed

The key challenges that needed to be overcome for project success.

Scattered, stale knowledge

Docs spread across folders; manual updates led to outdated answers.

Low retrieval accuracy

Naive embeddings and coarse chunks missed context and produced weak answers.

Poor search relevance

Single-mode search returned noisy or duplicate results; no reranking to improve precision.

Security & language gaps

Sharing source files safely over chat was hard; Arabic/English users needed equal support.

Key Features

Comprehensive solutions that drive results

WhatsApp-native Agentic RAG (Multilingual)

Conversational assistant in Arabic & English with agent tools for retrieval and follow-ups.

Auto-ingest from Google Drive (Hashing & Versioning)

Watches folders, de-duplicates by hash, and updates the index only when content truly changes.

Contextual Embeddings + Metadata Enrichment

Anthropic-style chunking/context windows and enriched metadata (title, owner, dates, tags) to lift recall and reduce hallucinations.

Hybrid Search + Cohere Reranking

Combines keyword + vector search, then reranks to return the most relevant, diverse, and current passages—also generates secure download links for referenced files.

Technology Stack

n8n
OpenAI
Supabase
Pinecone

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