Files
ragflow/conf/service_conf.yaml
pyyuhao c8c3b756b0 Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140)
### What problem does this PR solve?

This PR adds the support for latest OpenSearch2.19.1 as the store engine
& search engine option for RAGFlow.

### Main Benefit

1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is
much better than Elasticsearch
2. For search, OpenSearch2.19.1 supports full-text
search、vector_search、hybrid_search those are similar with Elasticsearch
on schema
3. For store, OpenSearch2.19.1 stores text、vector those are quite
simliar with Elasticsearch on schema

### Changes

- Support opensearch_python_connetor. I make a lot of adaptions since
the schema and api/method between ES and Opensearch differs in many
ways(especially the knn_search has a significant gap) :
rag/utils/opensearch_coon.py
- Support static config adaptions by changing:
conf/service_conf.yaml、api/settings.py、rag/settings.py
- Supprt some store&search schema changes between OpenSearch and ES:
conf/os_mapping.json
- Support OpenSearch python sdk : pyproject.toml
- Support docker config for OpenSearch2.19.1 :
docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template

### How to use
- I didn't change the priority that ES as the default doc/search engine.
Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it
will work.


### Others
Our team tested a lot of docs in our environment by using OpenSearch as
the vector database ,it works very well.
All the conifg for OpenSearch is necessary.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Yongteng Lei <yongtengrey@outlook.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00

87 lines
2.0 KiB
YAML

ragflow:
host: 0.0.0.0
http_port: 9380
mysql:
name: 'rag_flow'
user: 'root'
password: 'infini_rag_flow'
host: 'localhost'
port: 5455
max_connections: 100
stale_timeout: 30
minio:
user: 'rag_flow'
password: 'infini_rag_flow'
host: 'localhost:9000'
es:
hosts: 'http://localhost:1200'
username: 'elastic'
password: 'infini_rag_flow'
os:
hosts: 'http://localhost:1201'
username: 'admin'
password: 'infini_rag_flow_OS_01'
infinity:
uri: 'localhost:23817'
db_name: 'default_db'
redis:
db: 1
password: 'infini_rag_flow'
host: 'localhost:6379'
# postgres:
# name: 'rag_flow'
# user: 'rag_flow'
# password: 'infini_rag_flow'
# host: 'postgres'
# port: 5432
# max_connections: 100
# stale_timeout: 30
# s3:
# access_key: 'access_key'
# secret_key: 'secret_key'
# region: 'region'
# oss:
# access_key: 'access_key'
# secret_key: 'secret_key'
# endpoint_url: 'http://oss-cn-hangzhou.aliyuncs.com'
# region: 'cn-hangzhou'
# bucket: 'bucket_name'
# azure:
# auth_type: 'sas'
# container_url: 'container_url'
# sas_token: 'sas_token'
# azure:
# auth_type: 'spn'
# account_url: 'account_url'
# client_id: 'client_id'
# secret: 'secret'
# tenant_id: 'tenant_id'
# container_name: 'container_name'
# user_default_llm:
# factory: 'Tongyi-Qianwen'
# api_key: 'sk-xxxxxxxxxxxxx'
# base_url: ''
# oauth:
# github:
# client_id: xxxxxxxxxxxxxxxxxxxxxxxxx
# secret_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxx
# url: https://github.com/login/oauth/access_token
# feishu:
# app_id: cli_xxxxxxxxxxxxxxxxxxx
# app_secret: xxxxxxxxxxxxxxxxxxxxxxxxxxxx
# app_access_token_url: https://open.feishu.cn/open-apis/auth/v3/app_access_token/internal
# user_access_token_url: https://open.feishu.cn/open-apis/authen/v1/oidc/access_token
# grant_type: 'authorization_code'
# authentication:
# client:
# switch: false
# http_app_key:
# http_secret_key:
# site:
# switch: false
# permission:
# switch: false
# component: false
# dataset: false