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support oceanbase as an optional vector database (#1435)

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Signed-off-by: shanhaikang.shk <shanhaikang.shk@oceanbase.com>
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GITHUBear
2024-04-24 16:08:30 +08:00
committed by GitHub
parent 91c1371234
commit 6520367623
10 changed files with 975 additions and 12 deletions
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20
docs/docs/application/advanced_tutorial/rag.md
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@@ -69,6 +69,7 @@ import TabItem from '@theme/TabItem';
{label: 'Chroma', value: 'Chroma'},
{label: 'Milvus', value: 'Milvus'},
{label: 'Weaviate', value: 'Weaviate'},
{label: 'OceanBase', value: 'OceanBase'},
]}>
<TabItem value="Chroma" label="Chroma">
@@ -106,6 +107,25 @@ set ``VECTOR_STORE_TYPE`` in ``.env`` file
VECTOR_STORE_TYPE=Weaviate
#WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
```
</TabItem>
<TabItem value="OceanBase" label="OceanBase">
set ``VECTOR_STORE_TYPE`` in ``.env`` file
```shell
OB_HOST=127.0.0.1
OB_PORT=2881
OB_USER=root@test
OB_DATABASE=test
## Optional
# OB_PASSWORD=
## Optional: SQL statements executed by OceanBase is recorded in the log file specified by {OB_SQL_DBG_LOG_PATH}.
# OB_SQL_DBG_LOG_PATH={your-sql-dbg-log-dir}/sql.log
## Optional: If {OB_ENABLE_NORMALIZE_VECTOR} is set, the vector stored in OceanBase is normalized.
# OB_ENABLE_NORMALIZE_VECTOR=True
## Optional: If {OB_ENABLE_INDEX} is set, OceanBase will automatically create a vector index table.
# OB_ENABLE_INDEX=True
```
</TabItem>
</Tabs>

25
docs/docs/faq/kbqa.md
View File

@@ -18,8 +18,29 @@ git lfs clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
Update .env file and set VECTOR_STORE_TYPE.
DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector database.
If you want to change vector db, Update your .env, set your vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT)
DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate, OceanBase vector database.
If you want to change vector db, Update your .env, set your vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT).
If you want to use OceanBase, please first start a docker container via the following command:
```shell
docker run -p 2881:2881 --name obvec -d oceanbase/oceanbase-ce:vector
```
Then set the following variables in the .env file:
```shell
VECTOR_STORE_TYPE=OceanBase
OB_HOST=127.0.0.1
OB_PORT=2881
OB_USER=root@test
OB_DATABASE=test
## Optional
# OB_PASSWORD=
## Optional: SQL statements executed by OceanBase is recorded in the log file specified by {OB_SQL_DBG_LOG_PATH}.
# OB_SQL_DBG_LOG_PATH={your-sql-dbg-log-dir}/sql.log
## Optional: If {OB_ENABLE_NORMALIZE_VECTOR} is set, the vector stored in OceanBase is normalized.
# OB_ENABLE_NORMALIZE_VECTOR=True
## Optional: If {OB_ENABLE_INDEX} is set, OceanBase will automatically create a vector index table.
# OB_ENABLE_INDEX=True
```
If you want to support more vector db, you can integrate yourself.[how to integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)
```commandline
#*******************************************************************#