← Back to research

APOLLO 11 / AN EXPERIMENT IN GROUNDED ANSWERS

Ask the
mission archive.

A question is only as useful as the evidence behind its answer. Explore Apollo 11 through mission reports, transcripts and technical records — with the sources in reach.

25,207searchable text passages
259documents with eligible text
Source pageslinked for inspection
mission archive / ask a question EXPERIMENTAL
START WITH THE EVIDENCE

What would you like to know?

Explore the landing, crew decisions and mission science through the original documents.

0 / 2,000

Ask a complete question each time. Earlier messages are not sent to the model. Questions are sent to OpenAI; avoid personal information.

Ready for a question

ENGINEERING NOTES

Measured, with limits.

This is a work in progress. The cloud backend combines keyword and vector retrieval in Qdrant and streams GPT-5.6 Luna answers with links to the original documents. No dedicated reranker is used.

The archive contains 265 canonical PDFs and 931 standalone images. Search currently covers eligible extracted text; standalone images have not been embedded and full-corpus OCR has not been performed.

Local development baseline · 48 questions
Page hitBM25VectorHybrid
Top 545.8%31.2%45.8%
Top 1060.4%41.7%62.5%
Top 2068.8%60.4%83.3%

Supporting-page hits are location proxies, not answer accuracy. These are the original local results; the first Qdrant comparison reproduced these page-hit rates. The split has some topic overlap with held-out questions.

What the answer review found

Ten model-assisted reviews produced 5 passes, 2 partial answers and 3 failures. Failures included confusing computed and executed velocity changes, choosing a later docking time, and accepting a fictional second-landing premise.

Those failures remain in the original test record. More precise context, numeric-evidence checks and stronger abstention instructions still need a fresh claim-level evaluation before this assistant can be called reliable.