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I am trying to build custom search for different personna.
For that i am doing embedding with multiple metadata.
When I do search in flowise, complete metadat is fetched with source code, here is the screenshot:
But when I tried filtering this thourgh adding multiple meta data, it stopped working
"overrideConfig": {
I checked the same with chroma APIs, and this is working perfectly fine:
results = vector_store.query(
query_texts=[query], # Empty text since we're filtering by metadata
n_results=1,
where={
"$and": [
{"xxx": {"$eq": "xxxxx"}},
{"xxxx": {"$eq": "xxxxx"}},
{"xxx": {"$eq": "xxxxxx"}}
]
}
)
The text was updated successfully, but these errors were encountered:
I am trying to build custom search for different personna.
For that i am doing embedding with multiple metadata.
When I do search in flowise, complete metadat is fetched with source code, here is the screenshot:
But when I tried filtering this thourgh adding multiple meta data, it stopped working
"overrideConfig": {
I checked the same with chroma APIs, and this is working perfectly fine:
results = vector_store.query(
query_texts=[query], # Empty text since we're filtering by metadata
n_results=1,
where={
"$and": [
{"xxx": {"$eq": "xxxxx"}},
{"xxxx": {"$eq": "xxxxx"}},
{"xxx": {"$eq": "xxxxxx"}}
]
}
The text was updated successfully, but these errors were encountered: