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LlamaIndex Engineers
Vetted Tier-1 LlamaIndex engineers embedded into your team. Advanced RAG, document parsing, metadata routing, agentic query engines, and vector search optimization — sprint-delivered, Engagement Manager audited.
Two-week risk-free trial. No lock-in.
< 48h
Time to match
Top 1%
Engineer tier
100%
IP ownership
2 weeks
Risk-free trial
What They Build
End-to-end RAG systems that query complex internal data (contracts, PDFs, API docs) with high semantic accuracy and minimum hallucination.
Build parent-child chunking architectures where small child chunks are retrieved for speed, but broader parent nodes are passed to the LLM for context.
Extract and sync data from proprietary internal systems, APIs, or legacy databases directly into your vector store using custom LlamaIndex data loaders.
Combine BM25 keyword search with vector embeddings, optimized by Cohere or BGE re-rankers, to guarantee top-1 relevance for technical queries.
Query agents that break down complex requests into sub-questions, query multiple documents in parallel, and synthesize a single comprehensive answer.
Implement continuous evaluation frameworks (like Ragas or TruLens) to measure faithfulness, answer relevance, and context recall, resolving production drift.
Who It's For
Your basic LangChain or database RAG is returning bad chunks, hallucinating, or missing critical sections. LlamaIndex offers the precision indexing you need.
You have information scattered across PDFs, spreadsheets, APIs, and SaaS tools, and need a unified ingestion pipeline that structures this data for LLMs.
You need more than simple matching. You need an agent that can compare documents, summarize trends, and answer questions like 'What changed between version A and B?'
How It Works
Fill a 5-minute intake form describing your RAG project — the types of documents (PDFs, SQL, Notion), your current vector database, and search performance bottlenecks. A Delivery Lead contacts you within 24 hours.
We surface 2–3 hand-picked LlamaIndex specialists with production experience in hierarchical index strategies, metadata routing, and advanced parsing logic. Review profiles and pick your engineer.
Your engineer works in focused sprints. An Engagement Manager audits every milestone. You get production-grade, highly accurate RAG pipelines with robust evaluations — not fragile demos.
Tell us your RAG and data search goals. Matched in 48 hours. 2-week risk-free trial.
What's Included
Every engineer passes rigorous vetting — document parsing strategies, node configurations, vector index optimization, metadata filtering, and custom query engine design.
A senior Kovil AI lead audits every sprint milestone — retrieval recall/precision, document chunking quality, latency optimization, and answer truthfulness.
Structured weekly sprints with clear deliverables. Each sprint ends with working, evaluated query engines — not open-ended hours.
Build ingestion pipelines for any source — Postgres, Salesforce, Notion, SharePoint, Slack, and raw S3 buckets — using pre-built or bespoke LlamaHub readers.
Specialists in hierarchical indexing, auto-merging retrievers, parent-child chunk relations, recursive retrieval, and hybrid keyword-vector search configurations.
Build search tools that reason — multi-document agent loops, sub-question query engines, router query engines, and tool-calling search agents.
What to Expect
Fill a 5-minute intake form. A Delivery Lead calls within 24 hours to map out your files, database stacks, latency constraints, and accuracy goals.
We surface 2–3 LlamaIndex specialists matched to your specific document types and vector stores. Review profiles, join intro calls, choose your fit.
You and your engineer agree a sprint plan — data ingestion, chunking strategy, index choice, re-ranking setup, and evaluation metrics.
Your engineer builds in focused sprints. Your Engagement Manager audits every milestone. You review retrieval accuracy at each checkpoint.
Add engineers, extend sprints, or wind down — no lock-in. You stay because the retrieval quality is stellar, not because of a contract.
Why Kovil AI
| Kovil AI | In-House Hire | Big Agency | Freelancer | |
|---|---|---|---|---|
| Time to start | 24–48 hours | 2–4 months | 2–4 weeks | 1–2 weeks |
| LlamaIndex skill | Deep specialist | Hard to find | Varies widely | Varies |
| Managed delivery | ✓ Always | ✗ | Partial | ✗ |
| Risk-free trial | ✓ 2 weeks | ✗ | ✗ | Rarely |
| Production deploy | ✓ Included | Depends | Extra cost | Varies |
| IP ownership | 100% yours | 100% yours | Often shared | Varies |
FAQ
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Tell us your indexing and retrieval goals. Matched in 48 hours. 2-week risk-free trial.