The Connector rewrites keyword queries into question form and answers them. It doesn't alter queries that are already questions, as shown above. ChatGPT responses are usually
relevant, regardless of accuracy.
New: Miro SearchProvider allows querying Drawings and related metadata:
{
"name": "Boards (web/Miro.com)",
"connector": "RequestsGet",
"query_template": "{url}?query={query_string}",
"response_mappings": "FOUND=total,RESULTS=data",
"result_mappings": "title=name,body=description,url=viewLink,date_published=modifiedAt,owner.name,picture.imageURL,NO_PAYLOAD",
"credentials": "bearer=your-miro-api-token",
"tags": [
"Drawings"
]
}
New: Starting queries with a SearchProvider tag limits scope to only providers with that tag
company:tesla
With the funding dataset installed, this search returns records like:
{
"swirl_rank": 1,
"swirl_score": 438.9910228828939,
"searchprovider": "Company Funding Records (cloud/BigQuery)",
"searchprovider_rank": 1,
"title": "*Tesla* Motors",
"url": "tesla-motors",
"body": "*Tesla* Motors raised $40000000 series c on 2006-05-01. The company is located in San Carlos CA and has 270 employees.",
"date_published": "2006-05-01 00:00:00",
"date_retrieved": "2023-02-13 23:34:52.306501",
"author": "",
"payload": {},
}
Full details:
Release
1.9 Notes
TRY SWIRL via DOCKER
-- it seriously takes ~5 minutes!!
CLONE THE REPO
QUICK START INSTALLATION
ABOUT SWIRL
SWIRL SEARCH adapts and distributes queries to any data source with a search API - databases, search engines, noSQL engines, cloud/SaaS services etc - and uses AI (Large
Language Models) to re-rank the unified results without extracting and indexing anything.
SUPPORT