RESULT 01 / INSTALLATION
“sqlite-vec adds vector search without requiring a separate database service.”
Evidence infrastructure for agents
SEARCH WIDELY.
KEEP THE RECEIPT.
SuperSearch queries public sources under one deadline and returns an inspectable receipt: result URLs, retrieval sources, and every source that failed or timed out.
60-second product replay
One query. A source-explicit receipt.
Illustrative result cards, not a live search or benchmark. Search snippets are discovery aids; independently read the linked sources before relying on their claims.
“Map practical SQLite vector-search options for an embedded agent.”
01 / DISCOVER3 candidatesURLs retain every retrieval-route stamp.
02 / MERGEUnique URLsDuplicate results retain their contributing source identities.
03 / RETURN1 JSON receiptTitles, URLs, snippets, and source states stay inspectable.
04 / REPORT1 timeoutThe failed paper source remains visible.
WEB · COMPLETEDCODE · COMPLETEDCOMMUNITY · COMPLETEDPAPERS · TIMED OUT
RESULT 02 / USAGE
“Load the extension before creating a virtual table for storing and searching vectors.”
RESULT 03 / PORTABILITY
“USearch presents a single-file similarity-search engine with bindings for several languages.”
WHY THIS MATTERS
A receipt can be partial and still useful. Source failures remain visible; retrieved snippets do not establish truth, authority, or completeness.
Free and open
Retrieval kernel
- Local CLI and Python API
- Deadline-bounded source fan-out
- Source-state and provenance receipts
- Schema, tests, and agent integration examples
Integrate anywhere
One public contract
- Parse JSON from a shell tool
- Call the Python API directly
- Validate against the published schema
- Keep partial results and source diagnostics