Observed Signal · Aug 13, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Large Language Models (LLM) & AI Market: Multi-Agent AI Pipeline Ships: LangGraph + RAG Lessons
An engineer describes building and deploying Doc2Slides, a live tool that converts PDFs into audience-tailored PowerPoint decks using a state-based multi-agent pipeline implemented with LangGraph. The pipeline comprises five agents (parser, summarizer, planner, writer, builder) and uses RAG with ChromaDB, OpenAI's GPT-4o-mini, FastAPI, and PostgreSQL on Railway. The author shares evaluation results (parser evals 100%, summarizer avg 4.4/5, RAG top-1 precision 42%), engineering tradeoffs (avoiding word-count heuristics, SQLite→Postgres dev/prod flow), and deferred work (hierarchical retrieval, content-aware slide allocation, multi-language support). The project source code and live demo are published.
A practical technical write-up demonstrating a state-based multi-agent LLM pipeline, RAG evaluation insights, and engineering tradeoffs—useful to engineers building production GenAI tools but not industry-shifting.
Key Takeaways & Evidence Grounding
- Doc2Slides is a deployed tool that converts PDFs to audience-tailored .pptx presentations and is live on Railway.
- The system uses a state-based multi-agent pipeline implemented in LangGraph with five agents: parser, summarizer (RAG), planner, writer, and builder.
- Evaluation results: parser evals scored 100% (34/34), summarizer evals averaged 4.4/5, and RAG top-1 precision measured 42% (top-3 precision 57%).
- Technology stack includes Python 3.13, FastAPI, OpenAI GPT-4o-mini, ChromaDB (vector DB), SQLAlchemy + PostgreSQL, and deployed via Railway.
- Source code is published at github.com/manasviboineypally/doc2slides and a live demo is available at the Railway deployment URL.
Connected Companies & Entities
3 Entities mappedGitHub
Developer platform for code collaboration, automation and AI coding.
“Code: github.com/manasviboineypally/doc2slides...”
OpenAI
Foundation model company selling AI software, APIs and subscriptions.
“LLM | OpenAI GPT-4o-mini | Cheap enough for iteration, smart enough for structured output...”
Railway
Developer cloud platform for deploying and operating applications.
“For Railway, the environment variable is: DATABASE_URL=postgresql+psycopg2://postgres:xxx@host:5432/railway...”
Ontology Mapping & Concepts
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.