RAG & Enterprise Search
Production retrieval pipelines that actually retrieve. Chunking, embeddings, hybrid lexical + vector search, reranking, and the eval rigs required to keep accuracy from drifting once the knowledge base grows.
Retrieval Pipeline
Eval-driven01
Source
Docs, tickets, code, wikis
02
Chunk
Semantic + structural
03
Embed
Domain-tuned vectors
04
Index
Vector + BM25 hybrid
05
Retrieve
Multi-pass, filtered
06
Rerank
Cross-encoder + rules
Eval gate
Recall · MRR · groundedness
Production exit
Retrieval that survives the next 10× of content.
Who It's For
- Teams with large document/knowledge bases
- Companies with failed RAG POCs
- Enterprises needing accurate internal search
- Products adding AI-powered Q&A
Our Approach
Data Audit
Analyze your document corpus, identify data quality issues, and design chunking and embedding strategies tailored to your content types.
Pipeline Build
Build the ingestion pipeline, configure hybrid search with semantic and keyword retrieval, and establish the evaluation framework.
Optimization
Tune retrieval quality using eval results, optimize for latency and cost, and implement quality monitoring dashboards.
Production Launch
Deploy to production with monitoring, alerting, and runbooks. Train your team on operations and continuous improvement workflows.
Common Questions
What if our previous RAG POC didn't meet quality expectations?
Most RAG failures stem from poor chunking strategies, missing evaluation frameworks, or naive retrieval approaches. We audit what went wrong and rebuild with production-grade patterns including hybrid search and systematic evaluation.
How do you measure RAG quality?
We build automated evaluation suites that test retrieval relevance, answer accuracy, and faithfulness. These run as regression tests so quality is continuously monitored, not just checked once.
Can this integrate with our existing knowledge base tools?
Yes. We design pipelines that connect to your existing document stores, wikis, and content management systems. The RAG layer sits on top of your current infrastructure.