literature-meta-search

Research

Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion

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Literature Meta-Search

Unified literature search across multiple sources — OSTI, Google Scholar, ArXiv, and the local PDF corpus — with deduplication and reciprocal rank fusion ranking. Returns a single merged result list with an in_corpus flag showing which papers are in the local index.

Usage

Search all sources:

python3 {baseDir}/scripts/meta_search.py --query "lithium extraction brine"

Select specific sources:

python3 {baseDir}/scripts/meta_search.py --query "rare earth separation" --sources osti,scholar

Filter by year:

python3 {baseDir}/scripts/meta_search.py --query "cobalt supply chain" --year-from 2020 --year-to 2025

JSON output:

python3 {baseDir}/scripts/meta_search.py --query "critical minerals policy" --format json --top-n 20

Parameters

Parameter	Description	Default
`--query`	Search query	Required
`--sources`	Comma-separated sources: osti, scholar, arxiv, corpus	osti,scholar,arxiv,corpus
`--year-from`	Start year for publication filter	-
`--year-to`	End year for publication filter	-
`--top-n`	Number of results to return	15
`--format`	Output format: summary, detailed, json	summary

Sources

Source	Type	Auth Required
`osti`	DOE technical reports	No
`scholar`	Google Scholar papers	SERPAPI_KEY
`arxiv`	ArXiv preprints	No
`corpus`	Local PDF corpus	PINECONE_API_KEY

Examples

# Multi-source search for battery materials
python3 {baseDir}/scripts/meta_search.py --query "solid state battery electrolyte" --top-n 20

# OSTI + Scholar for policy research
python3 {baseDir}/scripts/meta_search.py --query "critical minerals trade policy" --sources osti,scholar

# Recent arxiv + corpus papers
python3 {baseDir}/scripts/meta_search.py --query "rare earth recycling" --sources arxiv,corpus --year-from 2023

Notes

Uses reciprocal rank fusion to merge results from multiple sources
Deduplication by fuzzy title matching (>80% similarity)
in_corpus flag indicates which results are in the local PDF index
Sources that fail (e.g., missing API key) are skipped with a warning
For single-source search, use the individual skill directly