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Version: v0.6.0

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 -p 2881:2881 --name obvec -d oceanbase/oceanbase-ce:vector

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: 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

#*******************************************************************#
#**                  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