Corpus audit
We assess document quality, access rules, and update frequency before indexing.
What We Deliver
- Document ingestion (PDF, DOCX, HTML, Notion)
- Chunking and embedding pipelines
- Hybrid search (keyword + vector)
- Cited answers with source links
- Access-control-aware retrieval
- Re-ranking and evaluation dashboards
Our Process
Index & retrieve
Embeddings, metadata filters, and hybrid search tuned for your content types.
Generate with citations
Prompts that require sources and refuse when retrieval confidence is low.
Continuous refresh
Re-indexing jobs and feedback loops when answers miss the mark.
Technologies
- OpenAI
- LangChain
- Pinecone
- pgvector
- Weaviate
- Python
- Next.js
Outcomes You Can Expect
- Answers grounded in your documents
- Fewer hallucinations on company knowledge
- Visible sources for every reply
- Permission-aware search for teams
Why Choose Intellixy
- Experienced engineering team with startup and enterprise delivery
- Agile sprints with transparent progress and staging access
- Clear scope, milestones, and pricing before development starts
- Post-launch support, monitoring, and feature iterations
Industries We Serve
HealthcareE-commerceEducationLogisticsStartups
Frequently Asked Questions
What is RAG in simple terms?
Retrieval-augmented generation finds relevant pieces of your data first, then asks the LLM to answer using those pieces — so responses stay tied to your content.
How much data do we need for RAG?
Even a few dozen high-quality docs can power a useful assistant. Quality and structure matter more than raw volume for early pilots.
How long does RAG development take?
A single-knowledge-base pilot often takes 3–5 weeks. Enterprise corpora with permissions and many file types take longer.
Related Services
Ready to start your project?
Tell us about your RAG development goals. We respond within 24 hours on business days with a tailored plan.