Commit Graph

8 Commits (eb046863485fdf3e130fc60484485c901b81276b)

Author SHA1 Message Date
Cai Yudong 5bf1b2b929
feat: Support Int8Vector in go (#38990)
Issue: #38666

Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
2025-01-14 20:43:06 +08:00
Buqian Zheng 3c80083f51
feat: [Sparse Float Vector] add sparse vector support to milvus components (#30630)
add sparse float vector support to different milvus components,
including proxy, data node to receive and write sparse float vectors to
binlog, query node to handle search requests, index node to build index
for sparse float column, etc.

https://github.com/milvus-io/milvus/issues/29419

---------

Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
2024-03-13 14:32:54 -07:00
Xu Tong e429965f32
Add float16 approve for multi-type part (#28427)
issue:https://github.com/milvus-io/milvus/issues/22837

Add bfloat16 vector, add the index part of float16 vector.

Signed-off-by: Writer-X <1256866856@qq.com>
2024-01-11 15:48:51 +08:00
Jiquan Long 3f46c6d459
feat: support inverted index (#28783)
issue: https://github.com/milvus-io/milvus/issues/27704

Add inverted index for some data types in Milvus. This index type can
save a lot of memory compared to loading all data into RAM and speed up
the term query and range query.

Supported: `INT8`, `INT16`, `INT32`, `INT64`, `FLOAT`, `DOUBLE`, `BOOL`
and `VARCHAR`.

Not supported: `ARRAY` and `JSON`.

Note:
- The inverted index for `VARCHAR` is not designed to serve full-text
search now. We will treat every row as a whole keyword instead of
tokenizing it into multiple terms.
- The inverted index don't support retrieval well, so if you create
inverted index for field, those operations which depend on the raw data
will fallback to use chunk storage, which will bring some performance
loss. For example, comparisons between two columns and retrieval of
output fields.

The inverted index is very easy to be used.

Taking below collection as an example:

```python
fields = [
		FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100),
		FieldSchema(name="int8", dtype=DataType.INT8),
		FieldSchema(name="int16", dtype=DataType.INT16),
		FieldSchema(name="int32", dtype=DataType.INT32),
		FieldSchema(name="int64", dtype=DataType.INT64),
		FieldSchema(name="float", dtype=DataType.FLOAT),
		FieldSchema(name="double", dtype=DataType.DOUBLE),
		FieldSchema(name="bool", dtype=DataType.BOOL),
		FieldSchema(name="varchar", dtype=DataType.VARCHAR, max_length=1000),
		FieldSchema(name="random", dtype=DataType.DOUBLE),
		FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim),
]
schema = CollectionSchema(fields)
collection = Collection("demo", schema)
```

Then we can simply create inverted index for field via:

```python
index_type = "INVERTED"
collection.create_index("int8", {"index_type": index_type})
collection.create_index("int16", {"index_type": index_type})
collection.create_index("int32", {"index_type": index_type})
collection.create_index("int64", {"index_type": index_type})
collection.create_index("float", {"index_type": index_type})
collection.create_index("double", {"index_type": index_type})
collection.create_index("bool", {"index_type": index_type})
collection.create_index("varchar", {"index_type": index_type})
```

Then, term query and range query on the field can be speed up
automatically by the inverted index:

```python
result = collection.query(expr='int64 in [1, 2, 3]', output_fields=["pk"])
result = collection.query(expr='int64 < 5', output_fields=["pk"])
result = collection.query(expr='int64 > 2997', output_fields=["pk"])
result = collection.query(expr='1 < int64 < 5', output_fields=["pk"])
```

---------

Signed-off-by: longjiquan <jiquan.long@zilliz.com>
2023-12-31 19:50:47 +08:00
congqixia 41af0a98fa
Use go-api/v2 for milvus-proto (#24770)
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
2023-06-09 01:28:37 +08:00
SimFG a55f739608
Separate public proto files (#19782)
Signed-off-by: SimFG <bang.fu@zilliz.com>

Signed-off-by: SimFG <bang.fu@zilliz.com>
2022-10-16 20:49:27 +08:00
SimFG d7f38a803d
Separate some proto files (#19218)
Signed-off-by: SimFG <bang.fu@zilliz.com>

Signed-off-by: SimFG <bang.fu@zilliz.com>
2022-09-16 16:56:49 +08:00
Jiquan Long f8d9bc919d
Unify interface of vector index & scalar index. (#15959)
Signed-off-by: dragondriver <jiquan.long@zilliz.com>
2022-03-21 14:23:24 +08:00