KBQA FAQ

Q1: text2vec-large-chinese not found

make sure you have download text2vec-large-chinese embedding model in right way

centos:yum install git-lfs
ubuntu:apt-get install git-lfs -y
macos:brew install git-lfs

cd models
git lfs clone https://huggingface.co/GanymedeNil/text2vec-large-chinese

Q2:How to change Vector DB Type in DB-GPT.

Update .env file and set VECTOR_STORE_TYPE.

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:

docker run --name=ob433 -e MODE=slim -p 2881:2881 -d quay.io/oceanbase/oceanbase-ce:4.3.3.0-100000142024101215

Download the partner package:

pip install --upgrade --quiet pyobvector

Check the connection to OceanBase and set the memory usage ratio for vector data:

from pyobvector import ObVecClient

tmp_client = ObVecClient()
tmp_client.perform_raw_text_sql(
    "ALTER SYSTEM ob_vector_memory_limit_percentage = 30"
)

Then set the following variables in the .env file:

VECTOR_STORE_TYPE=OceanBase
OB_HOST=127.0.0.1
OB_PORT=2881
OB_USER=root@test
OB_DATABASE=test
## Optional
# OB_PASSWORD=
## Optional: If {OB_ENABLE_NORMALIZE_VECTOR} is set, the vector stored in OceanBase is normalized.
# OB_ENABLE_NORMALIZE_VECTOR=True

If you want to support more vector db, you can integrate yourself.how to integrate

#*******************************************************************#
#**                  VECTOR STORE SETTINGS                       **#
#*******************************************************************#
VECTOR_STORE_TYPE=Chroma
#MILVUS_URL=127.0.0.1
#MILVUS_PORT=19530
#MILVUS_USERNAME
#MILVUS_PASSWORD
#MILVUS_SECURE=

#WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network

Q3:When I use vicuna-13b, found some illegal character like this.

Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server.

Q4:space add error (pymysql.err.OperationalError) (1054, "Unknown column 'knowledge_space.context' in 'field list'")

1.shutdown dbgpt_server(ctrl c)

2.add column context for table knowledge_space

mysql -h127.0.0.1 -uroot -p {your_password}

3.execute sql ddl

mysql> use knowledge_management;
mysql> ALTER TABLE knowledge_space ADD COLUMN context TEXT COMMENT "arguments context";

4.restart dbgpt serve

Q5:Use Mysql, how to use DB-GPT KBQA

build Mysql KBQA system database schema.

$ mysql -h127.0.0.1 -uroot -p{your_password} < ./assets/schema/knowledge_management.sql