NotesAI — Self-Hosted RAG Learning Platform
How TechLapse built a production RAG system that ingests private documents, indexes them with pgvector and answers questions with citations — without sending your data to a public LLM cloud by default.
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The challenge
Teams drowning in documents but afraid to paste them into ChatGPT
Internal wikis, PDFs, SOPs and training material hold the answers — but generic LLM chat cannot safely query them. Uploading sensitive docs to public AI tools breaks compliance; building RAG from scratch is harder than it looks on YouTube.
Plain LLM chat guesses when it lacks context — unacceptable for policy, legal or product documentation.
Regulated teams need embeddings and documents on infrastructure they control — not a vendor's shared tenant.
Fine-tuning alone cannot keep up with weekly doc updates; retrieval at query time is required.
Notebook demos without ingestion pipelines, access control or evaluation never reach production.
The solution
End-to-end RAG pipeline with self-hosted option
NotesAI connects document ingestion, chunking, embedding storage in PostgreSQL/pgvector, retrieval and LLM generation — with citations back to source files and role-based access so teams only see what they should.
Upload PDFs, docs and notes — parsed, chunked and indexed automatically.
pgvector in PostgreSQL for semantic search with full control over hosting.
Answers reference source passages — users can verify, not just trust.
Workspace and document-level permissions for internal teams.
Run on your servers or private cloud — data boundary under your policy.
Groundedness checks and logging for production MLOps, not demo-only flows.
Results
A reference architecture for client RAG projects
Not a weekend hack — ingestion, search and chat wired for real document volumes
Self-hosted path keeps embeddings and files inside your boundary
Citations reduce hallucination risk vs raw ChatGPT on internal topics
Same stack we deploy for client RAG and knowledge-base projects
Source, configs and deployment docs — no black-box SaaS lock-in
Proves TechLapse ships AI past the demo stage
Tech stack
PythonLangChainPostgreSQLpgvectorOpenAI / Claude APIsSelf-hosted LLM optionRust servicesBuilding a RAG or knowledge AI system?
We design and ship RAG platforms, LLM chatbots and AI agents from Pune — self-hosted or cloud, with honest scoping and full IP ownership.
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