RAG Implementation
Transform your enterprise data into intelligent knowledge systems with our Retrieval-Augmented Generation services.
Document Ingestion
Automated pipelines for processing PDFs, Word docs, spreadsheets, and emails. We build robust ingestion workflows that handle your entire document library and keep it synchronized as new content arrives.
- 50+ file format support including PDF, DOCX, XLSX, CSV, and HTML
- Batch processing for large-scale document libraries
- Automatic metadata extraction from document properties
- Configurable chunking strategies with overlap optimization
- Quality validation to ensure extraction accuracy
Enterprise-Scale Ingestion
Process thousands of documents automatically with intelligent extraction that preserves tables, figures, and structured data.
Vector Database
Setup and optimization of vector stores for fast semantic retrieval. We architect your vector infrastructure for performance, scalability, and cost efficiency across millions of embeddings.
- Pinecone, Qdrant, and pgvector support with best-fit recommendations
- Index optimization for sub-second query performance
- Hybrid retrieval combining dense and sparse vectors
- Embedding model selection and tuning for your domain
- Real-time indexing for up-to-the-minute knowledge
Optimized Storage
Scale from thousands to millions of vectors with infrastructure tuned for your query patterns and performance requirements.
Semantic Search
Intelligent search that understands meaning, not just keywords. We implement advanced retrieval pipelines that deliver highly relevant results with source citations your users can trust.
- Hybrid search combining BM25 and dense embeddings
- Reranking with cross-encoders for precision results
- Contextual query expansion for broader recall
- Source citation in responses for transparency and trust
- Multi-language support for global deployments
Beyond Keywords
Find answers based on meaning and context, not just exact matches. Users get the right information even when they don't know the exact terminology.
Ready to build your RAG pipeline?
Schedule a consultation with our team to discuss your document intelligence requirements.