Qdrant RAG Backend
by Kitworks Systems
850,00 €
| Odoo Apps Dependencies | base, base_automation, bus, http_routing, mail |
| Community Apps Dependencies | Show |
| Technical Name | kw_ai_rag_qdrant |
| License | OPL-1 |
| Website | https://kitworks.systems/ |
| Versions | 17.0 18.0 19.0 |
AI Connector — RAG Backend
Qdrant — Production Vector Backend
Purpose-built vector database for large-scale semantic search. Built for production workloads that outgrow PostgreSQL's vector capabilities.
1M+
Vectors Supported
HNSW
Index Algorithm
gRPC
Transport
When to Use Qdrant
Large knowledge bases
Millions of documents, product catalogs, or support tickets indexed without performance degradation.
High query throughput
Dedicated vector engine handles concurrent similarity queries without competing with Odoo's transactional workload.
Filtered search
Combine vector similarity with metadata filters (partner, product category, date range) for precise retrieval.
Technical Specifications
| Property | Value | Notes |
|---|---|---|
| Qdrant version | 1.7+ | Self-hosted or Qdrant Cloud |
| Index type | HNSW | Collection auto-created on first index |
| Similarity metric | Cosine | Dot product also supported |
| Recommended scale | 1M+ vectors | Production-grade throughput |
| Connection | HTTP / gRPC | URL + API key configured in Odoo settings |
Requirements
- ✓ kw_ai — AI Connector core
- ✓ kw_ai_rag — RAG orchestration module
- ✓ Qdrant 1.7+ (Docker, bare-metal, or Qdrant Cloud)
- ✓ Any embedding module
Production-grade vector search for Odoo
Scale to millions of documents without compromising your transactional database.
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