DB-GPT/docs/faq.md

FAQ

Q1: text2vec-large-chinese not found

A1: 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: execute pip install -r requirements.txt error, found some package cannot find correct version.

A2: change the pip source.

# pypi
$ pip install -r requirements.txt -i https://pypi.python.org/simple

or

# tsinghua
$ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/

or

# aliyun
$ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/

Q3:Access denied for user 'root@localhost'(using password :NO)

A3: make sure you have installed mysql instance in right way

Docker:

docker run --name=mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=aa12345678 -dit mysql:latest

Normal: download mysql instance

Q4:When I use openai(MODEL_SERVER=proxyllm) to chat

A4: make sure your openapi API_KEY is available

Q5:When I Chat Data and Chat Meta Data, I found the error

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A5: you have not create your database and table

1.create your database.

mysql> create database {$your_name}
mysql> use {$your_name}

2.create table {$your_table} and insert your data. eg:

mysql>CREATE TABLE `users` (
  `id` int NOT NULL AUTO_INCREMENT,
  `username` varchar(50) NOT NULL COMMENT '用户名',
  `password` varchar(50) NOT NULL COMMENT '密码',
  `email` varchar(50) NOT NULL COMMENT '邮箱',
  `phone` varchar(20) DEFAULT NULL COMMENT '电话',
  PRIMARY KEY (`id`),
  KEY `idx_username` (`username`) COMMENT '索引：按用户名查询'
) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 COMMENT='聊天用户表'

Q6:How to change Vector DB Type in DB-GPT.

A6: 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) 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

Q7:When I use vicuna-13b, found some illegal character like this.

A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server.

Q8:space add error (pymysql.err.OperationalError) (1054, "Unknown column 'knowledge_space.context' in 'field list'")

A8:

1.shutdown dbgpt_server(ctrl c)

2.add column context for table knowledge_space

mysql -h127.0.0.1 -uroot -paa12345678

3.execute sql ddl

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

4.restart dbgpt server