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table
stringclasses
4 values
passages
int64
4.83M
27.4M
parquet_files
int64
8
1.02k
ivf
stringclasses
4 values
bm25
stringclasses
4 values
archive
stringclasses
4 values
status
stringclasses
2 values
route
stringclasses
4 values
software
4,827,247
838
1.3 GB
359 MB
software-engram-table.tar
released
Software Engineering -> software,wiki
law
15,354,819
27
3.9 GB
2.0 GB
law-engram-table.tar
released
Law -> law,wiki
oer
17,500,842
8
4.4 GB
2.2 GB
oer-engram-table.tar
released
not on AA route
health
27,390,442
1,018
6.8 GB
3.5 GB
health/build.sh
build recipe only
not on AA route; local-only

Beam Engram Tables

This is a bundle repository: the table data lives in the tar archives. The dataset viewer shows data/table_index.parquet, a compact index of the four tables; download the archives for the actual passages and indexes.

The retrieval layer that added +7.5 AA points to Lite-Beam 1.0. These are the Software, Law, and OER tables plus the code used by the release route for tablinum/Lite-Beam-1.0-501B-A23B-IQS_XXS.

The gain

AA-Omniscience test 400 Base Q2 Base + S+L engram
index 16.25 23.75
correct / incorrect 112 / 47 140 / 45

On the 133 held-out Software+Law items: 18.05 → 40.60, +22.6, p=0.0001. The route keeps only the tables that fit: Software and Law. Health and OER did not add on this prompt and are off the AA path.

Tables

table passages IVF BM25 archive
software 4,827,247 1.3 GB 359 MB software-engram-table.tar
law 15,354,819 3.9 GB 2.0 GB law-engram-table.tar
OER 17,500,842 4.4 GB 2.2 GB oer-engram-table.tar
health 27,390,442 6.8 GB 3.5 GB build recipe in health/

Each archive contains passages/ (parquet text), index/ (Faiss IVF + OnDisk lists), and bm25/ (Tantivy). The software archive carries docs.json with per-doc attribution; the OER archive carries files.txt.

Health/StatPearls is built locally but its source terms do not permit redistribution of the passages, so the exact build recipe is included in health/ instead. Nothing from the health table is sent to a remote endpoint.

Quick start

Unpack the tables under tables/<name> and use the code in code/:

from engram import Engram

eg = Engram(tables=["software", "law"])
for hit in eg.retrieve("How do I configure a PHP JSON exception?", k=10,
                       tables=["software"]):
    print(hit["score"], hit["title"], hit["text"][:160])

Release route:

  • Software Engineering → software + root wiki
  • Law → law + root wiki
  • everything else → closed-book

The release run used NPROBE=512, NCAND=100, HYBRID=1, k=3, v0 injection, and cross-encoder reranking. The wiki root table is not included; point INDEX at your own root table, or run a single table.

Coverage

Software is 836/842 unique DevDocs documents. The six missing versions are d3~5, d3~6, gtk~3.22, numpy~1.22, qt~5.14, qt~6.1; five URLs were live at build time and gtk~3.22 returned 404. The table is complete for the available DevDocs corpus; the six versions were not re-indexed.

License

Code is Apache-2.0. Table passages retain their source licenses; see SOURCES.md for DevDocs, CAP, and the open-textbook sources. Keep the notices with any redistribution.

Citation

@misc{beamengram2026,
  title  = {Beam Engram Tables: Software, Law, and OER},
  author = {Lightspeed / tablinum},
  year   = {2026},
  note   = {Retrieval tables for Lite-Beam-1.0-501B-A23B-IQS\_XXS}
}
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