添加milvus 和 pg QA说明

configs/model_config.py.example

@@ -114,7 +114,7 @@ kbs_config = {
         "secure": False,
     },
     "pg": {
-        "connection_uri": "postgresql://postgres:postgres@127.0.0.1:5432/langchain_chatglm",
+        "connection_uri": "postgresql://postgres:postgres@127.0.0.1:5432/langchain_chatchat",
     }
 }
 

docs/FAQ.md

@@ -170,3 +170,16 @@ A13: 疑为 chatglm 的 quantization 的问题或 torch 版本差异问题，针
 Q14: 修改配置中路径后，加载 text2vec-large-chinese 依然提示 `WARNING: No sentence-transformers model found with name text2vec-large-chinese. Creating a new one with MEAN pooling.`
 
 A14: 尝试更换 embedding，如 text2vec-base-chinese，请在 [configs/model_config.py](../configs/model_config.py) 文件中，修改 `text2vec-base`参数为本地路径，绝对路径或者相对路径均可
+
+
+---
+
+Q15: 使用pg向量库建表报错
+
+A15: 需要手动安装对应的vector扩展(连接pg执行 CREATE EXTENSION IF NOT EXISTS vector)
+
+---
+
+Q16: pymilvus 连接超时
+
+A16.pymilvus版本需要匹配和milvus对应否则会超时参考pymilvus==2.1.3

docs/docker/vector_db/pg/docker-compose.yml

@@ -2,9 +2,9 @@ version: "3.8"
 services:
  postgresql:
   image: ankane/pgvector:v0.4.1
-  container_name: langchain-chatgml-pg-db
+  container_name: langchain_chatchat-pg-db
   environment:
-      POSTGRES_DB: langchain_chatgml
+      POSTGRES_DB: langchain_chatchat
       POSTGRES_USER: postgres
       POSTGRES_PASSWORD: postgres
   ports:

docs/向量库环境docker.md

@@ -5,3 +5,4 @@
 cd docs/docker/vector_db/milvus
 docker-compose up -d
 ```
+