Project Brief

Content Intelligence

The repository normalizes synthetic text, transcript-derived, OCR-derived, and Markdown material into provenance-rich objects, gates retrieval inputs for safety, produces local lexical/vector records, and exposes portable hybrid retrieval logic used by a public cited-answer demo.

Live Demo

Open the standalone retrieval workspace

Open the standalone surface to see the published corpus status, ask a question, and inspect citations without scrolling through the project narrative.

Open Content RAG

Implemented Pipeline

From source adapters to RAG-ready evidence

The pipeline preserves source identity, checksums, citations, safety state, and corpus fingerprints through retrieval.

Privacy and answer-grounding gates block unreviewed inputs and require cited, bounded responses.

Inspect first

  • Live cited retrieval over the reviewed release corpus
  • Source adapter and information-object contracts
  • Corpus fingerprint and public-safety review output
  • Deterministic retrieval evaluations and sample report

Evidence

What the workflow proves

Source identity

Normalized objects retain checksums, citations, safety state, and corpus fingerprints through retrieval.

Conversion and normalization

Transcript and OCR-style examples become cleaned, citation-preserving corpus records after public-safety review.

Retrieval-ready index

Generated lexical and vector records support portable hybrid retrieval for a public cited-answer demo.

Evaluated boundary

Privacy and answer-grounding gates block unreviewed inputs and require cited, bounded responses.

Serving Layer

Hybrid retrieval with a safe fallback

The repository exposes portable hybrid retrieval logic over the same safety-reviewed records used by the public cited-answer demo.

Projects Qualification

Supporting project · prototype claims · qualified use

Strong general AI systems alternate with unusually clear provenance and governance evidence; less education-specific than the top three.

Safety Boundary

Source-grounded, source-limited

Public examples must use synthetic, sanitized, public-domain, or clearly licensed source material. Raw private artifacts, private source paths, credentials, course identifiers, and copyrighted lecture text stay outside the public repository and public RAG index.