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LlamaIndex

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The RAG framework that turns your company documents into an AI-searchable knowledge base.

LlamaIndex is the leading framework for building retrieval-augmented generation (RAG) applications. It ingests your company data from any source, PDFs, databases, APIs, Slack, email, Confluence, and creates a structured index that AI models can search when answering questions. Unlike generic chatbots that hallucinate, LlamaIndex-powered AI pulls from your verified data before responding. PxlPeak uses LlamaIndex to build private knowledge bases for businesses, connecting to both cloud and local LLMs. It is the core technology behind our RAG deployments for healthcare, legal, and financial services clients.

Implementation: 2-3 weeks
Pricing: Free and open-source (MIT license). LlamaCloud managed service from $399/mo.
Official site

100+

Data Sources

RAG

Architecture

MIT

License

Citations

Source Tracking

Key Features

Ingest data from 100+ sources (PDFs, databases, APIs, Slack, email, Confluence)

Automatic document chunking, embedding, and vector indexing

Hybrid search combining keyword and semantic matching

Supports both cloud (OpenAI, Claude) and local (Ollama) models

Sub-question decomposition for complex multi-part queries

Citation tracking so users can verify which source documents were used

Use Cases We Implement

Build a private knowledge base over your company's SOPs, policies, and documentation

Create an AI assistant that answers customer questions using your product catalog

Enable AI-powered search across legal case files and contracts

Give employees instant access to answers from HR policies, training manuals, and internal docs

How We Implement LlamaIndex

1

Assess

We analyze your business needs and how LlamaIndex fits into your workflow.

2

Configure

Set up LlamaIndex with custom settings, integrations, and data connections.

3

Integrate

Connect to your existing tools: CRM, helpdesk, email, and more.

4

Train & Launch

Train your team, document everything, and provide ongoing support.

Frequently Asked Questions

What is LlamaIndex and why do I need it?

LlamaIndex is the technology that connects AI models to your company's data. Without it, AI only knows its training data. With LlamaIndex, AI can search your documents, policies, and databases before answering, so responses are accurate and specific to your business.

Can LlamaIndex work with local AI models?

Yes. LlamaIndex works with both cloud APIs (OpenAI, Claude) and local models via Ollama. For private AI deployments, we pair LlamaIndex with Ollama so your data never leaves your hardware.

How does LlamaIndex prevent AI hallucination?

LlamaIndex retrieves relevant documents before the AI generates a response, and provides citations showing which sources were used. If no relevant data exists, the AI says so rather than making something up.

What file types can LlamaIndex process?

PDFs, Word documents, Excel spreadsheets, PowerPoint, plain text, HTML, Markdown, JSON, CSV, and more. It also connects to live data sources like Slack, email, databases, and APIs.

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How PxlPeak Scaled Operations with AI Automation

As PxlPeak grew, the manual workload for lead qualification, content drafting, and client reporting became a scalability bottleneck. The agency was stuck in a high-headcount, low-margin trap, where every new client required a linear increase in manual labor. Additionally, our digital infrastructure lacked the technical hardening required for enterprise-level B2B sales, with fragmented systems and inconsistent data security protocols.

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VM Power Construction & Remodeling LLC is the parent of a four-division Lehigh Valley contracting family: VM Power Construction (general remodeling, formed 2018 with founder Vincent Karaca's trade history since 2003), VM Power Decks (the legacy V&M Power brand since 2005), VM Power Exteriors (roofing, siding, gutters), and VM Power Flooring (hardwood, LVP, tile, refinishing). Each division operates independently, its own brand, phone, office, team, and website, while the parent LLC holds the licenses (PA HIC #158550, NJ HIC #13VH11744800) and the BBB A-rated profile with 448 reviews on Google. Despite 22+ years of trade reputation and a real customer base, the four division websites were ranking nowhere outside of direct branded searches. Schema across the four sites operated in entity-graph silos, no parent-child Organization references, conflicting NAP, fragmented aggregateRating placements, and zero shared content cluster. None of the four domains showed up for the high-intent informational queries (renovation cost, permit guidance, ADU regulations) that Lehigh Valley homeowners actually search before hiring a contractor. The core problem wasn't visibility, it was that Google had no way to recognize the four divisions as one credentialed family operating across six office locations.

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