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RAG Systems
Connect LLMs to your internal knowledge with architectures designed for accuracy, speed, traceability, and long-term maintainability.
Technical Deliverables
End-to-end RAG pipeline development
Source-linked answers with citations
Hybrid retrieval (Semantic + Keyword) strategies
Query routing and rewriting logic
Knowledge base ingestion pipelines
Hallucination reduction techniques
Scalable vector database setup
Implementation Stack
PythonLangGraphPineconeSupabaseQdrantAgno
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