wanwu/deer-flow
1
0
Fork 0
mirror of https://gitee.com/wanwujie/deer-flow synced 2026-04-13 02:24:44 +08:00
Code Issues Packages Projects Releases Wiki Activity

feat: Qdrant Vector Search Support (#684)

Browse Source 
* feat: Qdrant vector search support

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* chore: Review updates

Signed-off-by: Anush008 <anushshetty90@gmail.com>

---------

Signed-off-by: Anush008 <anushshetty90@gmail.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
Anush
2025-11-11 17:05:00 +05:30
committed by GitHub
parent 70dbd21bdf
commit aa027faf95
13 changed files with 1010 additions and 30 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
docs/configuration_guide.md
View File

@@ -263,6 +263,26 @@ DeerFlow supports multiple RAG providers for document retrieval. Configure the R
- **RAGFlow**: Document retrieval using RAGFlow API
- **VikingDB Knowledge Base**: ByteDance's VikingDB knowledge base service
- **Milvus**: Open-source vector database for similarity search
- **Qdrant**: Open-source vector search engine with cloud and self-hosted options
- **MOI**: Hybrid database for enterprise users
- **Dify**: AI application platform with RAG capabilities
### Qdrant Configuration
To use Qdrant as your RAG provider, set the following environment variables:
```bash
# RAG_PROVIDER: qdrant (using Qdrant Cloud or self-hosted)
RAG_PROVIDER=qdrant
QDRANT_LOCATION=https://xyz-example.eu-central.aws.cloud.qdrant.io:6333
QDRANT_API_KEY=<your_qdrant_api_key>
QDRANT_COLLECTION=documents
QDRANT_EMBEDDING_PROVIDER=openai # support openai, dashscope
QDRANT_EMBEDDING_BASE_URL=
QDRANT_EMBEDDING_MODEL=text-embedding-ada-002
QDRANT_EMBEDDING_API_KEY=<your_embedding_api_key>
QDRANT_AUTO_LOAD_EXAMPLES=true # automatically load example markdown files
```
### Milvus Configuration