What is included in LlamaIndex Development Services
Every engagement covers these core deliverables. No hidden add-ons, no scope creep surprises.
LlamaParse Enterprise Document Structuring & PDF Ingestion
SLA-backed engineering implementation of llamaparse enterprise document structuring & pdf ingestion tailored to your system architecture.
Knowledge Graph RAG (GraphRAG) Index Construction (Neo4j)
SLA-backed engineering implementation of knowledge graph rag (graphrag) index construction (neo4j) tailored to your system architecture.
Hierarchical & Router Query Engine Architecture
SLA-backed engineering implementation of hierarchical & router query engine architecture tailored to your system architecture.
Custom Data Connectors (LlamaHub) for Enterprise Storage
SLA-backed engineering implementation of custom data connectors (llamahub) for enterprise storage tailored to your system architecture.
Multi-Document Synthesizer & Sub-Question Engines
SLA-backed engineering implementation of multi-document synthesizer & sub-question engines tailored to your system architecture.
LlamaTrace (Arize Phoenix) Observability & Eval Integration
SLA-backed engineering implementation of llamatrace (arize phoenix) observability & eval integration tailored to your system architecture.
From kickoff to delivery
A repeatable, transparent process we have refined across 200+ projects. No guesswork on your side.
Data Architecture
LlamaParse Setup
Index & Graph Build
Query Engine Tuning
Ready to build your LlamaIndex Development Services project?
A free 30-minute call. We review your requirements, identify risks early, and give you an honest assessment of what it takes to ship this right.
What We Solve in LlamaIndex Development Services
RAG systems failing to parse complex document layouts, tables, and multi-column PDFs.
Integration of LlamaParse for layout-aware document structure extraction.
Inability to query entity relationships across millions of scattered text documents.
Knowledge Graph RAG (GraphRAG) mapping entity nodes and semantic relationships.
Poor retrieval accuracy on multi-document comparative questions.
Sub-Question Query Engines that break queries across multiple indexed data sources.
Expert Guidance on LlamaIndex Development Services
What is LlamaParse?
LlamaParse is a specialized vision-based document parsing service that accurately extracts tables, headers, and diagrams from complex PDFs.
When should we use Knowledge Graph RAG?
GraphRAG is ideal when queries depend on understanding relationships between entities (e.g. key figures, legal terms, or medical research).
Ready to deploy production-grade LlamaIndex Development Services?
Talk directly with our senior software architects. No sales fluff, just clear engineering blueprints, cost estimates, and rapid execution.