Add code snippets for the text search guide (#2056)

* Python snippets * TS snippets * Rust snippets * Java snippets * C# snippets * Go snippets * Generate .md files * Hide client connection in Rust snippets * Switch to builder pattern for Rust snippets * Use Document::new instead of DocumentBuilder::new * docs: Updated Go snippets Signed-off-by: Anush008 <mail@anush.sh> * docs: Updated Java snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated C# snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated BM25 avg_len Java snippet Signed-off-by: Anush008 <anushshetty90@gmail.com> * chore: review and format rust snippets * chore: trigger pr update * chore: remove qdrant_storage folder * fix: remove tokio::main * chore: trigger pr update * Regenerate .md files * George's feedback: set bm25 params at ingest-time, change Python client init to use cloud inference explicitly, and mark bm25 options unavailable in FastEmbed --------- Signed-off-by: Anush008 <mail@anush.sh> Signed-off-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Anush008 <mail@anush.sh> Co-authored-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Daniel Boros <dancixx@gmail.com>
2026-10-11 05:48:31 +02:00 · 2026-01-16 17:57:08 +05:30
parent b5e0908946
commit 2497c368ed
329 changed files with 7854 additions and 20 deletions
@@ -0,0 +1,40 @@
+package com.example.snippets_amalgamation;
+
+import static io.qdrant.client.PointIdFactory.id;
+import static io.qdrant.client.ValueFactory.value;
+import static io.qdrant.client.VectorFactory.vector;
+import static io.qdrant.client.VectorsFactory.namedVectors;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.*;
+import java.util.*;
+
+public class Snippet {
+  public static void run() throws Exception {
+    QdrantClient client =
+        new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
+
+    PointStruct point =
+        PointStruct.newBuilder()
+            .setId(id(1))
+            .setVectors(
+                namedVectors(
+                    Map.of(
+                        "title-bm25",
+                        vector(
+                            Document.newBuilder()
+                                .setText("The Time Machine")
+                                .setModel("qdrant/bm25")
+                                .putOptions("avg_len", value(5.0))
+                                .build()))))
+            .putAllPayload(
+                Map.of(
+                    "title", value("The Time Machine"),
+                    "author", value("H.G. Wells"),
+                    "isbn", value("9780553213515")))
+            .build();
+
+    client.upsertAsync("books", List.of(point)).get();
+  }
+}