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RAG Systems
Retrieval-Augmented Generation
Make your AI distinct and hallucination-free. RAG systems combine the power of LLMs with your private proprietary data to give accurate, cited, and trustworthy answers.
01. Core Features
Semantic Search
Find documents based on meaning, not just keywords.
Source Citation
AI answers include links to the source documents.
Real-time Indexing
Updates to your knowledge base are reflected instantly.
Privacy First
Data remains within your VPC/Private cloud.
Why This Matters
- Accurate Answers
- Data Privacy
- Leverage Proprietary Data
- Reduced Hallucinations
Powered By
Vector DatabasesEmbeddingsLlamaIndexUnstructured.io
How We Execute
01
Knowledge Mapping
Identifying all data sources (PDFs, Databases, Notion).
02
Vectorization
Creating high-dimensional embeddings of your data.
03
Retrieval Logic
Optimizing the search algorithm for relevance.
04
UI Integration
Building the search/chat interface.
What You Get
- Vector Database Instance
- ETL Pipelines
- Search API
- Frontend Integration
Ready to Start?
Let's build something extraordinary together. Schedule a free consultation today.
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