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Agentic AI2025-2026

RAG Agent Framework

Production RAG with Multi-Agent Retrieval

95%
Accuracy
Multi-hop
Reasoning
Citations
Verified
<2s
Response

Overview

Advanced RAG system with multi-agent retrieval, re-ranking, and citation. Handles complex queries across multiple document types with superior accuracy and verifiable responses.

Project Stats

Duration45 days

The Problem

Basic RAG systems fail on complex queries, miss relevant context, and produce hallucinations. Enterprise documents require sophisticated understanding across different formats and domains.

Our Solution

Multi-agent retrieval where specialized agents handle different document types. Advanced re-ranking, query decomposition, and citation tracking ensure accurate, verifiable responses.

Development Timeline

Project Workflow

Data Ingestion

2 weeks
Document parsing
Multi-format support
Chunking strategy
Metadata extraction
PythonLangChainLlamaIndexPineconeWeaviateCohereOpenAIFastAPIRedis
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