RAG that answers from your data — and doesn’t make things up.
RAG is easy to demo and hard to trust — it retrieves the wrong chunk and confidently invents an answer. The GRASP Framework is a five-stage pipeline for retrieval-augmented AI you can actually ship — Gather, Represent, Ask, Select, Produce. Built for developers.
Source, clean, and chunk your documents so they’re retrievable.
R
Represent
Embed the chunks and index them — the vector store and metadata.
A
Ask
Turn the question into a query and retrieve candidate chunks.
S
Select
Rerank, filter, and assemble the context that fits the window.
P
Produce
Generate a grounded, cited answer — and prove it’s grounded.
What’s inside — 10 modules
1
The GRASP Framework
What RAG is, why naive RAG hallucinates and misses, and the five-stage pipeline that fixes it.
2
Gather
Source, clean, and chunk your documents so the knowledge is retrievable.
3
Represent
Embeddings, vector stores, indexing, metadata, and keeping the index in sync.
4
Ask
Query construction, similarity + hybrid search, top-k, and query rewriting.
5
Select
Rerank, filter, dedupe, and assemble the context that fits the window.
6
Produce
Grounded generation, citations, refusing when unsure, and controlling hallucination.
7
Evaluating RAG
Retrieval vs. answer metrics, grounding/faithfulness, and building an eval set.
8
When RAG Fails
Diagnose hallucination, wrong chunks, missing answers, and stale data — and fix them.
9
Advanced Retrieval
Hybrid search, rerankers, query decomposition/multi-hop, and agentic retrieval.
10
RAG in Production
Freshness, latency, cost, scale, security/access control, and monitoring.
Plus: 10 narrated videos (~3 hrs), slide decks & PDFs, a study guide, and 7+ templates (GRASP quick reference, chunking cheat sheet, embedding/vector-store checklist, retrieval-quality checklist, RAG prompt template, RAG eval starter, production checklist) — yours to download and keep.
60-day money-back guarantee
If it doesn’t help you build a RAG system you can trust, email us within 60 days for a full refund. No questions.
Questions
Why so cheap?
It’s a deliberately low price so any developer can grab it. Lifetime access, no subscription.
Is it really lifetime?
Yes — buy once, access forever, including updates.
What do I get?
10 video modules (~3 hrs), slide decks & PDFs, a study guide, and 7+ templates (chunking cheat sheet, embedding/vector-store checklist, retrieval-quality checklist, RAG prompt template, RAG eval starter, production checklist) — plus a downloadable bundle.
How technical is it?
Built for developers. You should be comfortable calling an API and reading pseudocode. No machine-learning background needed — there’s no math or training loops.
Which vector database / model do I need?
None in particular. GRASP is stack-agnostic — it applies to any vector database, embedding model, and LLM provider you use.