Release candidate · v0.2.0

Build knowledge-grounded AI applications with retrieval and semantic search.

Build knowledge-grounded AI applications with retrieval and semantic search. Built for a compatible Codex workflow with inspectable inputs, outputs, and limits.

For developers and data teams working with production data who need to build retrieval-augmented generation (rag) systems for llm applications with vector databases and semantic search.

RAG System Builder

$49

one-time advanced kit. Includes the complete buyer package, version 0.2.0, and the update/support terms shown on this page.

Release candidate — checkout remains disabled until production delivery is verified.

The problem

When the work is consequential, a one-off prompt leaves too much to interpretation. RAG System Builder turns build retrieval-augmented generation (rag) systems for llm applications with vector databases and semantic search into a documented workflow with boundaries and a reviewable result.

Built for

For developers and data teams working with production data who need to build retrieval-augmented generation (rag) systems for llm applications with vector databases and semantic search.

Campaign angle: RAG System Builder: Build knowledge-grounded AI applications with retrieval and semantic search.

The mechanism

A repeatable path from request to verified result

1

Start from the real job

Give the skill the files, repository, or context your work already uses; it begins by inspecting the actual situation.

2

See the decision path

Follow a documented sequence with explicit checks, boundaries, and a result you can review before acting.

3

Keep control at the edge

The package states what it cannot know, what remains human-owned, and which external costs or accounts are separate.

Test evidence

What the package has already proved

Passed structural, secret, safety-boundary, package-integrity, and adversarial-case checks as a release candidate.

Verified behaviors

  • Handles a representative success case
  • Stops when required input is missing
  • Detects an incompatible environment
  • Codex-native skill
  • External tools, accounts, and usage costs are separate

Included

  • Codex-native skill
  • Attributed domain reference
  • Combined installation and quick-start README
  • Useful example request

Objection handling

Know the boundary before you buy.

Will it touch data unsafely?

It does not silently act on production systems; inspect the proposed result and approve consequential changes yourself.

Will it understand my schema?

The package documents compatible hosts, required inputs, examples, and environment-specific limits before you begin.

Can I inspect the reasoning before acting?

Every release includes test behavior, package contents, and a stated boundary so you can judge fit before purchase.

Limitations and attribution

  • External tools, accounts, and usage costs are separate
  • Release candidate checkout is disabled
  • Environment-specific behavior must be verified

Planned one-person or one-business internal-use license.

Adapted from wshobson/agents under MIT.

Release candidate

Put rag system builder on a repeatable footing.

one-time advanced kit. Includes the complete buyer package, version 0.2.0, and the update/support terms shown on this page.

One-time price

$49

Checkout pending production verification

No subscription or product per-run fee. Host usage is separate.

Product FAQ

Know what you are buying

Is checkout available?

Not yet. This release candidate must complete production delivery verification before purchase is enabled.