Add query performance to examples

examples/rag-wikipedia-ollama/README.md

@@ -29,6 +29,7 @@ The output can differ slightly on each run, but it's along the lines of:
 2024/03/02 20:02:34 Reading JSON lines...
 2024/03/02 20:02:34 Adding documents to chromem-go, including creating their embeddings via Ollama API...
 2024/03/02 20:03:11 Querying chromem-go...
+2024/03/02 20:03:11 Search took 231.672667ms
 2024/03/02 20:03:11 Document 1 (similarity: 0.723627): "Malleable Iron Range Company was a company that existed from 1896 to 1985 and primarily produced kitchen ranges made of malleable iron but also produced a variety of other related products. The company's primary trademark was 'Monarch' and was colloquially often referred to as the Monarch Company or just Monarch."
 2024/03/02 20:03:11 Document 2 (similarity: 0.550584): "The American Motor Car Company was a short-lived company in the automotive industry founded in 1906 lasting until 1913. It was based in Indianapolis Indiana United States. The American Motor Car Company pioneered the underslung design."
 2024/03/02 20:03:11 Asking LLM with augmented question...

examples/rag-wikipedia-ollama/main.go

@@ -8,6 +8,7 @@ import (
 	"os"
 	"runtime"
 	"strconv"
+	"time"
 
 	"github.com/philippgille/chromem-go"
 )
@@ -97,11 +98,13 @@ func main() {
 	// on your needs and the supported context size of the LLM you use.
 	// You can limit the search by filtering on content or metadata (like the article's
 	// category), but we don't do that in this example.
+	start := time.Now()
 	log.Println("Querying chromem-go...")
 	docRes, err := collection.Query(ctx, question, 2, nil, nil)
 	if err != nil {
 		panic(err)
 	}
+	log.Println("Search took", time.Since(start))
 	// Here you could filter out any documents whose similarity is below a certain threshold.
 	// if docRes[...].Similarity < 0.5 { ...
 
@@ -126,6 +129,7 @@ func main() {
 	2024/03/02 20:02:34 Reading JSON lines...
 	2024/03/02 20:02:34 Adding documents to chromem-go, including creating their embeddings via Ollama API...
 	2024/03/02 20:03:11 Querying chromem-go...
+	2024/03/02 20:03:11 Search took 231.672667ms
 	2024/03/02 20:03:11 Document 1 (similarity: 0.723627): "Malleable Iron Range Company was a company that existed from 1896 to 1985 and primarily produced kitchen ranges made of malleable iron but also produced a variety of other related products. The company's primary trademark was 'Monarch' and was colloquially often referred to as the Monarch Company or just Monarch."
 	2024/03/02 20:03:11 Document 2 (similarity: 0.550584): "The American Motor Car Company was a short-lived company in the automotive industry founded in 1906 lasting until 1913. It was based in Indianapolis Indiana United States. The American Motor Car Company pioneered the underslung design."
 	2024/03/02 20:03:11 Asking LLM with augmented question...

examples/semantic-search-arxiv-openai/README.md

@@ -27,6 +27,7 @@ The output can differ slightly on each run, but it's along the lines of:
  2024/03/10 18:23:55 Read and parsed 5006 documents.
  2024/03/10 18:23:55 Adding documents to chromem-go, including creating their embeddings via OpenAI API...
  2024/03/10 18:28:12 Querying chromem-go...
+ 2024/03/10 18:28:12 Search took 529.451163ms
  2024/03/10 18:28:12 Search results:
   1) Similarity 0.488895:
    URL: https://arxiv.org/abs/2209.15469

examples/semantic-search-arxiv-openai/main.go

@@ -9,6 +9,7 @@ import (
 	"os"
 	"runtime"
 	"strings"
+	"time"
 
 	"github.com/philippgille/chromem-go"
 )
@@ -87,10 +88,12 @@ func main() {
 	// You can limit the search by filtering on content or metadata (like the paper's
 	// submitter), but we don't do that in this example.
 	log.Println("Querying chromem-go...")
+	start := time.Now()
 	docRes, err := collection.Query(ctx, searchTerm, 10, nil, nil)
 	if err != nil {
 		panic(err)
 	}
+	log.Println("Search took", time.Since(start))
 	// Here you could filter out any documents whose similarity is below a certain threshold.
 	// if docRes[...].Similarity < 0.5 { ...
 
@@ -114,6 +117,7 @@ func main() {
 	2024/03/10 18:23:55 Read and parsed 5006 documents.
 	2024/03/10 18:23:55 Adding documents to chromem-go, including creating their embeddings via OpenAI API...
 	2024/03/10 18:28:12 Querying chromem-go...
+	2024/03/10 18:28:12 Search took 529.451163ms
 	2024/03/10 18:28:12 Search results:
 		1) Similarity 0.488895:
 			URL: https://arxiv.org/abs/2209.15469