> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Search
## Search
Payload for hybrid search operations.
Can be constructed by directly providing the parameters, or by using the builder pattern.
Methods
`__init__()`, `group_by()`, `limit()`, `rank()`, `select()`, `select_all()`, `to_dict()`, `where()`
***
## Select
Selection configuration for search results.
Fields can be:
* Key.DOCUMENT - Select document key (equivalent to Key("#document"))
* Key.EMBEDDING - Select embedding key (equivalent to Key("#embedding"))
* Key.SCORE - Select score key (equivalent to Key("#score"))
* Any other string - Select specific metadata property
Note: You can use K as an alias for Key for more concise code.
Properties
Methods
`__init__()`, `from_dict()`, `to_dict()`
***
## Knn
KNN-based ranking expression.
Properties
Methods
`__init__()`, `abs()`, `exp()`, `from_dict()`, `log()`, `max()`, `min()`, `to_dict()`
***
## Rrf
Reciprocal Rank Fusion for combining ranking strategies.
RRF formula: score = -sum(weight\_i / (k + rank\_i)) for each ranking strategy
The negative is used because RRF produces higher scores for better results,
but Chroma uses ascending order (lower scores = better results).
Properties
Methods
`__init__()`, `abs()`, `exp()`, `from_dict()`, `log()`, `max()`, `min()`, `to_dict()`
***
## Group By
### GroupBy
Group results by metadata keys and aggregate within each group.
Groups search results by one or more metadata fields, then applies an
aggregation (MinK or MaxK) to select records within each group.
The final output is flattened and sorted by score.
Properties
Methods
`__init__()`, `from_dict()`, `to_dict()`
### Limit
Limit(offset: int = 0, limit: Optional\[int] = None)
Properties
Methods
`__init__()`, `from_dict()`, `to_dict()`
### MinK
Keep k records with minimum aggregate key values per group
Properties
Methods
`__init__()`, `from_dict()`, `to_dict()`
### MaxK
Keep k records with maximum aggregate key values per group
Properties
Methods
`__init__()`, `from_dict()`, `to_dict()`
***
## SearchResult
Column-major response from the search API.
Searches are performed in batches. Each batch is a list of records in columnar form.
```python theme={null}
results = collection.search([search_1, search_2, ...])
payloads = zip(results["ids"], results["documents"], results["metadatas"])
```
Each payload contains a field grouped per search payload, in column-major form.
```python theme={null}
for payload in payloads:
ids, docs, metas = payload
for id, doc, meta in zip(ids, docs, metas):
print(id, doc, meta)
```
Properties
Methods
`rows()`