Top 10 RAG‑Empowered LLM Projects to Elevate Your AI Portfolio (2025–26)
Retrieval‑Augmented Generation (RAG) grounds large language models in real data—reducing hallucinations and boosting trust. Build any of these ten projects to stand out in 2025–26.
Each project follows a practical RAG blueprint: ingest → embed → index → retrieve → generate. Use them as portfolio pieces, internal tools, or startup prototypes. For each idea, you’ll see a quick overview, suggested tech stack, and upgrade ideas.
1) DataDoc — AI Analyst’s Companion for Spreadsheets
Overview: Ingest complex spreadsheets and generate human‑friendly explanations. Ask “What drove Q2 budget variance?” and get source‑anchored answers with referenced cells.
Tech Stack: Pandas/OpenPyXL • LangChain or LlamaIndex • Embeddings + FAISS/Qdrant • Open‑ or closed‑weight LLM • Streamlit/Gradio UI
Workflow: Chunk by rows/headers → embed with metadata → retrieve top‑k → answer with inline cell highlights.
Upgrades: Auto‑charts, outlier detection, Google Sheets live connector.
2) CodePolicy — Regulatory Compliance Code Reviewer
Overview: Cross‑check a codebase against GDPR/HIPAA/PCI‑DSS excerpts. Flag risky patterns and map them to policy text.
Tech Stack: AST parsers • Git hooks • Policy loaders • Vector DB • LLM for reasoning
Use Cases: Security audits, dev education, SDLC gates.
Upgrades: Remediation diffs, risk scoring, CI/CD integration.
3) HealthDigest — Patient‑Friendly Medical Insights
Overview: Retrieve trusted guidelines and research to explain conditions in clear, accessible language.
Tech Stack: Medical guideline loaders/APIs • Biomedical embeddings • LangChain + Vector DB • Safety filters
Note: Provide citations and disclaimers; this is not medical advice.
Upgrades: Lifestyle tips, multilingual output, physician‑mode summaries.
4) TutorAI — Adaptive Learning Coach
Overview: Load lecture notes/books, then quiz, explain, and scaffold learning paths that adapt to learner performance.
Tech Stack: PDF/slide loaders • Vector DB • LLM tuned for pedagogy • Simple LMS UI
Upgrades: Flashcards, spaced repetition, difficulty ramping, progress analytics.
5) MarketPulse — Financial News Retriever
Overview: Aggregate market news, retrieve relevant passages, and summarize sector‑level signals with citations.
Tech Stack: News APIs/RSS • Sentiment + RAG • Vector DB • LLM summarizer • Dashboard (Streamlit)
Upgrades: Ticker watchlists, anomaly alerts, trend plots, newsletter mode.
6) EventPlanner — Local Event Concierge
Overview: “Weekend in Bengaluru?” Get curated, up‑to‑date events with sources, maps, and one‑click calendar adds.
Tech Stack: Event APIs/scrapers • Geo metadata • Vector search • LLM • Calendar integration
Upgrades: Real‑time availability, ticketing links, transport suggestions.
7) SupportBot — Smart Product Troubleshooter
Overview: Load manuals, FAQs, and support logs. The bot retrieves exact steps to solve issues with linked passages.
Tech Stack: Document loaders • Vector DB • RAG pipeline • Chat UI
Upgrades: Multi‑turn guided diagnostics, voice mode, escalation to human support.
8) CareerGuide — AI Mentor for Career Advancement
Overview: Combine job posts, interview tips, and portfolio patterns to generate tailored resume bullets and prep plans.
Tech Stack: Job/feed ingestion • Skill extraction • Vector DB • LLM for drafting
Upgrades: Mock interviews, ATS‑friendly formatting, recruiter feedback loop.
9) MemoVault — Knowledge Recall Assistant
Overview: Your second brain: index emails, notes, and transcripts; ask natural questions and get precise, cited retrieval.
Tech Stack: Connectors (email/notes) • Chunking • Vector DB • LLM summarizer • Access controls
Upgrades: Reminders, cross‑project tags, Slack/Teams integration.
10) ChefMate — Smart Meal Advisor
Overview: Input preferences and pantry items; retrieve matching recipes and adapt them to dietary goals.
Tech Stack: Recipe corpus • Ingredient normalization • Vector DB • LLM for adaptation
Upgrades: Grocery list export, calorie targets, mobile voice assistant.
Final Thoughts
These projects showcase practical RAG: grounded answers, clear citations, and domain‑aware reasoning. Pick one that aligns with your interests—or combine two—to ship a standout portfolio piece in 2025–26.
Want a starter repo or architecture diagram for any project above? Comment which one and I’ll share a kick‑off template.
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