diff --git a/examples/README.md b/examples/README.md
index b03a432..fdacd89 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -1,9 +1,13 @@
 # Examples
 
-1. [RAG Wikipedia Ollama](rag-wikipedia-ollama)
+1. [Minimal example](minimal)
+   - A minimal example with the least amount of code and no comments
+   - Uses OpenAI for creating the embeddings
+2. [RAG Wikipedia Ollama](rag-wikipedia-ollama)
    - This example shows a retrieval augmented generation (RAG) application, using `chromem-go` as knowledge base for finding relevant info for a question. More specifically the app is doing *question answering*.
    - The underlying data is 200 Wikipedia articles (or rather their lead section / introduction).
-   - We run the embeddings model and LLM in [Ollama](https://github.com/ollama/ollama), to showcase how a RAG application can run entirely offline, without relying on OpenAI or other third party APIs.
-2. [Semantic search arXiv OpenAI](semantic-search-arxiv-openai)
+   - Runs the embeddings model and LLM in [Ollama](https://github.com/ollama/ollama), to showcase how a RAG application can run entirely offline, without relying on OpenAI or other third party APIs.
+3. [Semantic search arXiv OpenAI](semantic-search-arxiv-openai)
    - This example shows a semantic search application, using `chromem-go` as vector database for finding semantically relevant search results.
-   - We load and search across ~5,000 arXiv papers in the "Computer Science - Computation and Language" category, which is the relevant one for Natural Language Processing (NLP) related papers.
+   - Loads and searches across ~5,000 arXiv papers in the "Computer Science - Computation and Language" category, which is the relevant one for Natural Language Processing (NLP) related papers.
+   - Uses OpenAI for creating the embeddings
diff --git a/examples/minimal/README.md b/examples/minimal/README.md
new file mode 100644
index 0000000..86996be
--- /dev/null
+++ b/examples/minimal/README.md
@@ -0,0 +1,16 @@
+# Minimal example
+
+This is a minimal example that shows how `chromem-go` works. For more sophisticated examples that use the persistent DB, locally running embedding models, a basic RAG pipeline, with more explanations in the README as well as code comments, check the other examples!
+
+## How to run
+
+1. Set the OpenAI API key in your env as `OPENAI_API_KEY`
+2. Run the example: `go run .`
+
+## Output
+
+```text
+ID: 1
+Similarity: 0.6833369
+Content: The sky is blue because of Rayleigh scattering.
+```
diff --git a/examples/minimal/go.mod b/examples/minimal/go.mod
new file mode 100644
index 0000000..7bccb45
--- /dev/null
+++ b/examples/minimal/go.mod
@@ -0,0 +1,7 @@
+module github.com/philippgille/chromem-go/examples/minimal
+
+go 1.21
+
+require github.com/philippgille/chromem-go v0.0.0
+
+replace github.com/philippgille/chromem-go => ./../..
diff --git a/examples/minimal/main.go b/examples/minimal/main.go
new file mode 100644
index 0000000..6c0efbf
--- /dev/null
+++ b/examples/minimal/main.go
@@ -0,0 +1,44 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"runtime"
+
+	"github.com/philippgille/chromem-go"
+)
+
+func main() {
+	ctx := context.Background()
+
+	db := chromem.NewDB()
+
+	c, err := db.CreateCollection("knowledge-base", nil, nil)
+	if err != nil {
+		panic(err)
+	}
+
+	c.AddDocuments(ctx, []chromem.Document{
+		{
+			ID:      "1",
+			Content: "The sky is blue because of Rayleigh scattering.",
+		},
+		{
+			ID:      "2",
+			Content: "Leaves are green because chlorophyll absorbs red and blue light.",
+		},
+	}, runtime.NumCPU())
+
+	res, err := c.Query(ctx, "Why is the sky blue?", 1, nil, nil)
+	if err != nil {
+		panic(err)
+	}
+
+	fmt.Printf("ID: %v\nSimilarity: %v\nContent: %v\n", res[0].ID, res[0].Similarity, res[0].Content)
+
+	/* Output:
+	ID: 1
+	Similarity: 0.6833369
+	Content: The sky is blue because of Rayleigh scattering.
+	*/
+}