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Filter Extractor
Filter Extractor
Filter Extractor
Extracts structured filters from the query for the given field
Extracts structured filters from the query for the given field
> = 2024-01-01 AND < = 2024-12-31
Filter Extractor
Published
date
“Find articles about the impact of
Large language models on the economy
published in 2024.”
> = 2024-01-01 AND < = 2024-12-31
Filter Extractor
Published
date
“Find articles about the impact of
Large language models on the economy
published in 2024.”
> = 2024-01-01 AND < = 2024-12-31
Filter Extractor
Published
date
“Find articles about the impact of
Large language models on the economy
published in 2024.”
What does the Filter Extractor do?
What does
Filter Extractor do?
What does the
Filter Extractor do?
Filter Extractor receives a natural language query along with a field and then generates structured filters.
Filter Extractor receives a natural language query along with a field and then generates structured filters.
import sineps
client = sineps.Client(SINEPS_API_KEY)
query = "Find articles about the impact of Large language models on jobs and the economy, published in 2024"
field = {
"name": "published_date",
"type": "date",
"description": "The date the article was published online.",
}
response = client.exec_filter_extractor(query=query, field=field)
print(response.result)
# {
# "type": "ConjunctedFilter",
# "conjunction": "AND",
# "filters": [
# {
# "Filter": {
# "type": "Filter",
# "operator": ">=",
# "value": "2024-01-01"
# }
# },
# {
# "type": "Filter",
# "operator": "<=",
# "value": "2024-12-31"
# }
# ]
# }
Values
Values
Low-cost
Low-cost
164x cheaper than GPT-4o,
5x cheaper than GPT-4o mini
164x cheaper than GPT-4o,
5x cheaper than GPT-4o mini
Average cost / 1K calls in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
0.5$
1.6$
Sineps
11.6$
16.4$
0.1$
16 $
12 $
8 $
4 $
0 $
Average cost / 1K calls in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
0.5$
1.6$
Sineps
11.6$
16.4$
0.1$
16 $
12 $
8 $
4 $
0 $
Consistently Fast
Consistently Fast
Average latency 5x lower,
Maximum latency 12x lower than GPT-4o mini
Average latency 5x lower,
Maximum latency 12x lower than GPT-4o mini
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Average latency in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
655ms
1720ms
810ms
830ms
160ms
1800ms
1350ms
900ms
450ms
0ms
Maximum latency (at 300 calls) in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
1350ms
3547ms
9100ms
4900ms
382ms
9000ms
6750ms
4500ms
2250ms
0ms
Highly Accurate
Highly Accurate
GPT-4o level accuracy
GPT-4o level accuracy
Accuracy in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
69.8%
96.6%
97%
83.6%
99.4%
100%
90%
80%
70%
60%
Accuracy in filter extraction problems
GPT - 4o
mini
GPT - 4o
GPT - 3.5
turbo
Claude 3.5
Sonnet
Sineps
69.8%
96.6%
97%
83.6%
99.4%
100%
90%
80%
70%
60%
Multilingual
Multilingual
Supports English, Chinese, French, Korean, Spanish, Italian, and Japanese
Supports English, Chinese, French, Korean, Spanish, Italian, and Japanese
* We will make the dataset publicly available for evaluation.
* We will make the dataset publicly available for evaluation.
Where to use?
Where to use?
Doc 1
Doc 2
Doc 3
> = 2024-01-01 AND < = 2024-12-31
Filter Extractor
Published
date
“Find articles about the impact of
Large language models on the economy,
published in 2024.”
Seach
Engine
Doc 1
Doc 2
Doc 3
> = 2024-01-01 AND < = 2024-12-31
Filter Extractor
Published
date
“Find articles about the impact of
Large language models on the economy,
published in 2024.”
Seach
Engine
It enables more advanced retrieval capabilities than just semantic or lexical search
It enables more advanced retrieval capabilities than just semantic or lexical search
Sineps
Company : Ceres Technologies, Co., Ltd. | CEO : Inhyuk Na
Call : +82 70-7355-4189 | E-mail : infosec@sineps.io
Registration number : 716-81-02382
Address : 577, Dongdaegu-ro, Dong-gu, Daegu, Republic of Korea
ⓒ 2024 Ceres Technologies, All rights reserved.
Sineps
Company : Ceres Technologies, Co., Ltd.
CEO : Inhyuk Na
Call : +82 70-7355-4189
E-mail : infosec@sineps.io
Registration number : 716-81-02382
Address : 577, Dongdaegu-ro, Dong-gu,
Daegu, Republic of Korea
ⓒ 2024 Ceres Technologies,
All rights reserved.
Privacy Policy
Terms of Use
Sineps
Company : Ceres Technologies, Co., Ltd. | CEO : Inhyuk Na
Call : +82 70-7355-4189 | E-mail : infosec@sineps.io
Registration number : 716-81-02382
Address : 577, Dongdaegu-ro, Dong-gu, Daegu, Republic of Korea
ⓒ 2024 Ceres Technologies, All rights reserved.