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doc:add vector db use doc

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aries_ckt 2023-07-31 17:18:18 +08:00
parent f57e6c8ba1
commit 208f01fda7
2 changed files with 24 additions and 3 deletions
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23
docs/faq.md
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@ -82,12 +82,31 @@ mysql>CREATE TABLE `users` (
) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 COMMENT='聊天用户表' ) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 COMMENT='聊天用户表'
``` ```
##### Q6:When I use vicuna-13b, found some illegal character like this. ##### 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](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)
```commandline
#*******************************************************************#
#** 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.
<p align="left"> <p align="left">
<img src="../assets/faq/illegal_character.png" width="800px" /> <img src="../assets/faq/illegal_character.png" width="800px" />
</p> </p>
##### A6: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server. ##### A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server.

4
docs/modules/vector.rst
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@ -7,7 +7,9 @@ vector knowledge base is a method of mapping words in language to a high-dimensi
VectorConnector is a vector database connection adapter that allows you to connect different vector databases and abstracts away implementation differences and underlying details of different vector data. For example, it can be used to connect to databases such as Milvus, Chroma, Elasticsearch, and Weaviate. VectorConnector is a vector database connection adapter that allows you to connect different vector databases and abstracts away implementation differences and underlying details of different vector data. For example, it can be used to connect to databases such as Milvus, Chroma, Elasticsearch, and Weaviate.
DB-GPT VectorConnector currently support milvus and chroma vector database DB-GPT VectorConnector 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, Milvus(>2.1) and Weaviate, if you set Milvus, please set MILVUS_URL and MILVUS_PORT)
- `chroma <./vector/chroma.html>`_: supported chroma vector database. - `chroma <./vector/chroma.html>`_: supported chroma vector database.
- `milvus <./vector/milvus.html>`_: supported milvus vector database. - `milvus <./vector/milvus.html>`_: supported milvus vector database.