Chunk
- POSTCreate or Upsert Chunk or Chunks
- POSTSearch
- POSTAutocomplete
- POSTGet Recommended Chunks
- POSTScroll Chunks
- POSTCount chunks above threshold
- POSTGenerate suggested queries
- POSTRAG on Specified Chunks
- PUTUpdate Chunk
- PUTUpdate Chunk By Tracking Id
- GETGet Chunk By Id
- GETGet Chunk By Tracking Id
- POSTGet Chunks By Tracking Ids
- POSTGet Chunks By Ids
- DELDelete Chunk
- DELDelete Chunk By Tracking Id
- DELBulk Delete Chunks
- POSTSplit HTML Content into Chunks
Chunk Group
- POSTCreate or Upsert Group or Groups
- POSTSearch Over Groups
- POSTSearch Within Group
- POSTGet Recommended Groups
- POSTAdd Chunk to Group
- POSTAdd Chunk to Group by Tracking ID
- POSTGet Groups for Chunks
- GETGet Chunks in Group by Tracking ID
- GETGet Group by Tracking ID
- PUTUpdate Group
- DELRemove Chunk from Group
- DELDelete Group by Tracking ID
- DELDelete Group
- GETGet Group
- GETGet Chunks in Group
- GETGet Groups for Dataset
Message
Crawl
File
Analytics
Dataset
- POSTCreate Dataset
- POSTBatch Create Datasets
- POSTGet All Tags
- POSTGet events for the dataset
- PUTUpdate Dataset by ID or Tracking ID
- PUTClear Dataset
- GETGet Dataset By ID
- GETGet Dataset by Tracking ID
- GETGet Datasets from Organization
- POSTCreate ETL Job
- PUTCreate Pagefind Index for Dataset
- GETGet Pagefind Index Url for Dataset
- GETGet Usage By Dataset ID
- GETGet dataset crawl options
- GETGet apipublic page
- DELDelete Dataset
- DELDelete Dataset by Tracking ID
Organization
Health
Stripe
Metrics
Generate suggested queries
This endpoint will generate 3 suggested queries based off a hybrid search using RAG with the query provided in the request body and return them as a JSON object.
curl --request POST \
--url https://api.trieve.ai/api/chunk/suggestions \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--header 'TR-Dataset: <tr-dataset>' \
--data '{
"context": "<string>",
"filters": {
"must": [
{
"field": "tag_set",
"match_all": [
"A",
"B"
]
},
{
"field": "num_value",
"range": {
"gte": 10,
"lte": 25
}
}
]
},
"is_followup": true,
"query": "<string>",
"search_type": "fulltext",
"suggestion_type": "question",
"suggestions_to_create": 1
}'{
"queries": [
"<string>"
]
}Authorizations
Headers
The dataset id or tracking_id to use for the request. We assume you intend to use an id if the value is a valid uuid.
Body
Context is the context of the query. This can be any string under 15 words and 200 characters. The context will be used to generate the suggested queries. Defaults to None.
ChunkFilter is a JSON object which can be used to filter chunks. This is useful for when you want to filter chunks by arbitrary metadata. Unlike with tag filtering, there is a performance hit for filtering on metadata.
All of these field conditions have to match for the chunk to be included in the result set.
Filters can be constructed using either fields on the chunk objects, ids or tracking ids of chunks, and finally ids or tracking ids of groups.
Field is the name of the field to filter on. Commonly used fields are timestamp, link, tag_set, location, num_value, group_ids, and group_tracking_ids. The field value will be used to check for an exact substring match on the metadata values for each existing chunk. This is useful for when you want to filter chunks by arbitrary metadata. To access fields inside of the metadata that you provide with the card, prefix the field name with metadata..
Boolean is a true false value for a field. This only works for boolean fields. You can specify this if you want values to be true or false.
DateRange is a JSON object which can be used to filter chunks by a range of dates. This leverages the time_stamp field on chunks in your dataset. You can specify this if you want values in a certain range. You must provide ISO 8601 combined date and time without timezone.
{
"gt": "2021-01-01 00:00:00.000",
"gte": "2021-01-01 00:00:00.000",
"lt": "2021-01-01 00:00:00.000",
"lte": "2021-01-01 00:00:00.000"
}
Match all lets you pass in an array of values that will return results if all of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
Match any lets you pass in an array of values that will return results if any of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
None of these field conditions can match for the chunk to be included in the result set.
Filters can be constructed using either fields on the chunk objects, ids or tracking ids of chunks, and finally ids or tracking ids of groups.
Field is the name of the field to filter on. Commonly used fields are timestamp, link, tag_set, location, num_value, group_ids, and group_tracking_ids. The field value will be used to check for an exact substring match on the metadata values for each existing chunk. This is useful for when you want to filter chunks by arbitrary metadata. To access fields inside of the metadata that you provide with the card, prefix the field name with metadata..
Boolean is a true false value for a field. This only works for boolean fields. You can specify this if you want values to be true or false.
DateRange is a JSON object which can be used to filter chunks by a range of dates. This leverages the time_stamp field on chunks in your dataset. You can specify this if you want values in a certain range. You must provide ISO 8601 combined date and time without timezone.
{
"gt": "2021-01-01 00:00:00.000",
"gte": "2021-01-01 00:00:00.000",
"lt": "2021-01-01 00:00:00.000",
"lte": "2021-01-01 00:00:00.000"
}
Match all lets you pass in an array of values that will return results if all of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
Match any lets you pass in an array of values that will return results if any of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
Only one of these field conditions has to match for the chunk to be included in the result set.
Filters can be constructed using either fields on the chunk objects, ids or tracking ids of chunks, and finally ids or tracking ids of groups.
Field is the name of the field to filter on. Commonly used fields are timestamp, link, tag_set, location, num_value, group_ids, and group_tracking_ids. The field value will be used to check for an exact substring match on the metadata values for each existing chunk. This is useful for when you want to filter chunks by arbitrary metadata. To access fields inside of the metadata that you provide with the card, prefix the field name with metadata..
Boolean is a true false value for a field. This only works for boolean fields. You can specify this if you want values to be true or false.
DateRange is a JSON object which can be used to filter chunks by a range of dates. This leverages the time_stamp field on chunks in your dataset. You can specify this if you want values in a certain range. You must provide ISO 8601 combined date and time without timezone.
{
"gt": "2021-01-01 00:00:00.000",
"gte": "2021-01-01 00:00:00.000",
"lt": "2021-01-01 00:00:00.000",
"lte": "2021-01-01 00:00:00.000"
}
Match all lets you pass in an array of values that will return results if all of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
Match any lets you pass in an array of values that will return results if any of the items match. The match value will be used to check for an exact substring match on the metadata values for each existing chunk. If both match_all and match_any are provided, the match_any condition will be used.
{
"must": [
{
"field": "tag_set",
"match_all": ["A", "B"]
},
{
"field": "num_value",
"range": { "gte": 10, "lte": 25 }
}
]
}
The query to base the generated suggested queries off of using RAG. A hybrid search for 10 chunks from your dataset using this query will be performed and the context of the chunks will be used to generate the suggested queries.
fulltext, semantic, hybrid, bm25 question, keyword, semantic The number of suggested queries to create, defaults to 10
x >= 0Response
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curl --request POST \
--url https://api.trieve.ai/api/chunk/suggestions \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--header 'TR-Dataset: <tr-dataset>' \
--data '{
"context": "<string>",
"filters": {
"must": [
{
"field": "tag_set",
"match_all": [
"A",
"B"
]
},
{
"field": "num_value",
"range": {
"gte": 10,
"lte": 25
}
}
]
},
"is_followup": true,
"query": "<string>",
"search_type": "fulltext",
"suggestion_type": "question",
"suggestions_to_create": 1
}'{
"queries": [
"<string>"
]
}