Build and optimize Retrieval-Augmented Generation (RAG) pipelines efficiently
Neum AI simplifies creating AI-powered search and generation systems by managing the complex data flow behind them. It handles critical tasks like document processing, embedding generation, and vector database synchronization. Developers can focus on building smart applications rather than infrastructure setup.
Customizable framework for building data pipelines
Instant integration with popular data sources and services
Automatic vector database updates with change detection
Context-aware search using metadata and data relationships
Learns from user feedback to enhance results quality
This tool is best for:
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Neum AI can be integrated with this app or service:
Recent data shows that Neum AI has 2.0K monthly visits (41.3% increase from the previous month), 39.0% bounce rate, and average 1.86 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 2 countries worldwide, led by United States contributing 92% of total traffic. SEO performance is shown by 5 tracked keywords, with "neum ai" being the top-performing keyword with 160 monthly searches. See below for more info.
Monthly Visits
2.0K
Pages per Visit
1.86
Bounce Rate
39.0%
Average Time on Site
42s
| SEO Keyword | Volume | CPC |
|---|---|---|
| neum ai | 160 | - |
| spreadsheet llm implement | 90 | - |
| neum | 11.5K | $0.29 |
| spreadsheet llm implementation online | 460 | - |
| supabase rag | 840 | - |
| Source | Traffic Share |
|---|---|
| Direct | 60% |
| Search | 25% |
| Social | 8% |
| Referrals | 6% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 92% |
 | 8% |
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