RAG/GraphRAG Systems
Enterprise Knowledge Retrieval & Reasoning
Overview
We build retrieval pipelines, vector search integration, and graph-structured context for relationship-aware reasoning. Our RAG/GraphRAG systems deliver higher factuality, deeper explanations (the "why"), reduced hallucination, and reusable knowledge assets.
These systems are ideal for knowledge-heavy products, customer support, and analytics assistants that need to ground their answers in your actual data and relationships.
Technical Excellence
Approach & Methodology
- Knowledge Extraction: Parse documents, databases, APIs into structured knowledge
- Vector Indexing: Embed and index content for semantic similarity search
- Graph Construction: Build relationship graphs between entities and concepts
- Context Retrieval: Combine vector search with graph traversal for rich context
- Answer Generation: Use retrieved context to generate accurate, grounded responses
Technology Stack
- Retrieval: FAISS, Pinecone, Weaviate, Qdrant for vector stores
- Graph: Neo4j, NetworkX, graph embeddings
- Processing: LangChain, LlamaIndex, sentence-transformers
- Backend: FastAPI, async processing, streaming responses
- Monitoring: Answer quality metrics, retrieval relevance scores
Measurable Impact
Expected Results
- Higher factuality and reduced hallucination in AI responses
- Deeper explanations with relationship-aware context
- Reusable knowledge assets that grow with your data
- Traceable answers with source citations
KPIs We Track
- Answer accuracy rate
- Retrieval relevance score
- Context window utilization
- Query latency (p50, p95, p99)
- Knowledge base coverage
How We Work Together
Knowledge Audit → Pipeline Build → Integration → Optimization
- Knowledge Audit (1 week): Assess data sources, identify key relationships
- Pipeline Build (2-4 weeks): Implement retrieval, vector search, graph construction
- Integration (2-3 weeks): Connect to applications, implement APIs
- Optimization (ongoing): Tune retrieval, expand knowledge, improve accuracy
Ready to Get Started?
Let's discuss how RAG/GraphRAG Systems can transform your business