Skip the Fancy RAG. A Reliable grep Will Do.

In an Early Solo Business, grep Beats RAG

The AI era has its buzzwords. RAGRetrieval Augmented Generation​, ADRArchitecture Decision Record​, vector databases, MCP, agentic workflows. Conferences cover them, newsletters recommend them, Big Tech shows them off. When a solo developer or solo founder sets out to build an AI workflow, these are the words their hands reach for first.

But does someone who has only just gotten started actually need any of this? The short answer: in most cases, grep is plenty.

What Is grep?

grep is the most basic command for finding a specific word or pattern inside text files. It was built in 1973. For more than fifty years it has shipped with nearly every operating system. No extra install, no separate infrastructure—you just run it right inside a folder.

grep -r "business revenue strategy" ~/projects/

That one line digs through every file and shows you everywhere the phrase appears. No embeddings, no vector database, no chunking. It is the least trendy tool of the AI era, and it is also the fastest to work.

AI tools like Claude Code, Cursor, and GitHub Copilot reach for grep-style text search first under the hood, too. If something can be found with an exact keyword, there is no need to run a semantic search through embeddings.

Three Reasons RAG Becomes Overinvestment

You simply do not have enough material.

RAG earns its keep when there is so much material that a human cannot find anything. Five thousand wiki pages, a hundred thousand customer tickets, hundreds of internal manual PDFs. At that scale, keyword search clearly hits its limits. To find “the right tone for responding to customers about the refund policy,” plain keywords will not cut it.

The material in an early solo business is nothing like that. Maybe 100 to 300 documents. You wrote most of them yourself, and you roughly remember where you put them. Installing RAG at this scale is like hiring a librarian for a house with a hundred books.

The cost of building it eats into your progress.

Building RAG is technically complex. Choosing an embedding model, a chunking strategy (what unit do you split on?), configuring a vector database (Pinecone? Qdrant? Supabase Vector?), deciding whether to apply re-ranking, managing the context window for the search results. Each step demands a decision, and each decision brings trial and error.

For a solo founder, one or two weeks is an enormous amount of time. In those weeks you could polish your MVP, meet your first customer, or create marketing content. A business does not fail for lack of RAG. It fails for lack of a product and customers.

A simple folder structure and a single ADR-0001 are no different from grep.

You can write a stack of ADRs in the name of polished governance, split your folders five levels deep, and lay down metadata rules—and when it comes time to actually search, you will still use grep. An elaborate taxonomy cannot keep up with the speed of search.

Admitting this is a relief. A setup where you have adopted only the first step of governance—a folder structure—is no different from grep anyway. So you might as well start right there, with grep.

How to Pick a Search Tool by How Much Material You Have

Search Infrastructure, Stage by Stage

Break it into stages by how much material you have and how hard the search is, and it looks like this.

Most solo founders never leave stages one and two during their first year. Stages four and five can wait—deciding when you actually get there is not too late.

The Guilt of Simplifying Your Governance

There is a trap solo founders fall into often: over-building infrastructure out of an anxious “Am I doing this right?”

Without ADRs, you feel like nothing will be on the record; without RAG, you feel like your material will scatter; without an elaborate Notion database, you feel like you will regret it later. The anxiety is real. But more often than not, the anxiety is bigger than the actual risk.

The real risk is not the absence of infrastructure—it is spending all your time building infrastructure while the business itself goes nowhere. There are probably more solo businesses that died with fifty well-organized ADRs and a polished RAG than ones that hit 100 million won (about $75,000) in revenue with nothing but messy folders and grep.

The best way to switch off this guilt is to set your review criteria in advance.

Your One-Month Review Criteria

To simplify your governance with peace of mind, pin down a point to revisit it. One month out, check the following.

The amount of material. How many documents did you add over the past month? How many do you have in total? Past 500, look into Notion search or a desktop search tool.

Search failures. Concretely, how many times did grep fail to find something? What did those cases have in common? If you often failed while trying to find material that means something similar but uses different keywords, that is when you seriously consider RAG.

Time spent searching. How many hours, all told, did you spend finding material? More than five hours a month means your infrastructure is lacking; less than that means you are still in grep-is-enough territory.

The most important question. Did the lack of infrastructure ever block your business from moving forward? If not, your current simple governance is the right answer. If so, design your next step around that specific case.

Decide in advance to review these four things in a month, and simplifying now becomes a deliberate choice rather than negligence.

ADR-0008 Can Wait Until Then

Three months from now, once you have accumulated enough material and a concrete five to ten cases where grep could not find something, that is when you write ADR-0008 and decide to bring in RAG. By then, your decisions about which embedding model, which chunking strategy, and which vector database to use rest on concrete evidence.

Decide now and it is a decision based on guesswork. Decide three months from now and it is based on data. For the same amount of time spent, the latter decision is far more accurate.

Choosing Tools That Fit a Solo Business

The Time Ethics of a Solo Business

The biggest difference between a large organization and a solo business is the value of time. On a hundred-person team, if one person spends two weeks building RAG, the other ninety-nine keep working and the loss is spread out. In a solo business, spend two weeks and the entire business stops for those two weeks.

Because of this time structure, the decision-making principles of a solo business have to differ from those of a large organization.

Large organization: “Put the right infrastructure in place ahead of time.”
Solo business: “Use the tool that is good enough for right now.”

Large organization: “Design with scalability in mind.”
Solo business: “Swap it out when a bottleneck shows up.”

Large organization: “Leave a trail of decisions with a record-keeping system like ADRs.”
Solo business: “Record only the decisions that need recording. Most of it lives in your head.”

Fail to acknowledge this difference, and a large organization’s best practices will hold a solo business back.

The Courage Not to Chase Trends

In the AI era, new buzzwords appear every week. RAG, ADR, MCP, agents, workflows, multimodal pipelines. Chasing all of them is good for learning but poison for business.

What a solo founder needs is not a trending buzzword but the tool that fits their current stage. With 200 documents, grep is the answer. When you reach 5,000, RAG becomes the answer. Somewhere in between sit Notion search and desktop search.

The least trendy tool can be the most sensible choice for your current stage. The fact that a fifty-year-old grep still has an answer to offer a solo founder in 2026—this is why context matters more than trends when you choose your tools.

Three months from now, when the moment comes that grep genuinely cannot keep up, that is when you bring in RAG. Until then, grep is plenty. And building the business’s real progress on top of that “plenty” is the solo founder’s job.