Abdullrahman
HomeAboutProjectsResearchSkillsContact
Download CV
Back to Projects
Project 01 // Core Engine

DocVision RAG Document Extraction
Platform.

Retrieval-augmented document understanding for structured extraction and source-grounded answers

VIEW ON GITHUBDOCUMENTATION
RAG
RAG
LAN
LangChain
DOC
Document AI
NLP
NLP
AutomatedExtraction workflow
Multi-docAnalysis scope
40%Processing gain
Process // 01

The Challenge

Document-heavy workflows require repeatable extraction, summarization, and comparison without manually reading every file.

Bottleneck Analysis

Identification of relay failures in distributed nodes.

Process // 02

The Solution

  • Built retrieval flows for grounding generated answers in source material.
  • Structured extracted data for downstream scoring, search, and reporting.

Advanced Core Logic

A document extraction and analysis platform using RAG patterns, vector retrieval, and LLM orchestration.

Vector retrieval
Chunking strategy
Structured extraction
Source-grounded answers
Architecture

Visual Chronicles

Abdullrahman

© 2026 Abdullrahman. Built for high-end AI research.

LinkedInGitHubPrivacyTerms
Applied the approach to CV analysis and broader document extraction use cases.
Solution visualization
rag_extract.py
chunks = split_document(file)
index.upsert(embed(chunks))
answer = generate_with_context(query, index.search(query, top_k=8))