mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-06 11:28:31 +02:00
1a40961d62
* initial commit; fixed anchor links on internal docs pages * add back in absolute paths for links in code comments * fix: update linkchecker include filter to match server port 1314 PR #1629 changed the Hugo server to port 1314 but forgot to update the --include filter, which still matched port 1313. This caused all links to be excluded, making the checker a no-op (0 checked, 82277 excluded). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix url rewrite regex so images are not impacted * Fix links from non-documentation pages * Fix broken links * more broken links * more broken links * broken link * Add srcset width descriptor to .lycheeignore * Ignore URLs that contain a % character * Anchor regex so it matches the entire URL --------- Co-authored-by: kanungle <neil.kanungo@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
56 lines
2.1 KiB
Markdown
56 lines
2.1 KiB
Markdown
---
|
|
title: LangChain4j
|
|
---
|
|
|
|
# LangChain for Java
|
|
|
|
LangChain for Java, also known as [Langchain4J](https://github.com/langchain4j/langchain4j), is a community port of [Langchain](https://www.langchain.com/) for building context-aware AI applications in Java
|
|
|
|
You can use Qdrant as a vector store in LangChain4j through the [`langchain4j-qdrant`](https://central.sonatype.com/artifact/dev.langchain4j/langchain4j-qdrant) module.
|
|
|
|
## Setup
|
|
|
|
Add the `langchain4j-qdrant` to your project dependencies.
|
|
|
|
```xml
|
|
<dependency>
|
|
<groupId>dev.langchain4j</groupId>
|
|
<artifactId>langchain4j-qdrant</artifactId>
|
|
<version>VERSION</version>
|
|
</dependency>
|
|
```
|
|
|
|
## Usage
|
|
|
|
Before you use the following code sample, customize the following values for your configuration:
|
|
|
|
- `YOUR_COLLECTION_NAME`: Use our [Collections](/documentation/manage-data/collections/) guide to create or
|
|
list collections.
|
|
- `YOUR_HOST_URL`: Use the GRPC URL for your system. If you used the [Quick Start](/documentation/quickstart/) guide,
|
|
it may be http://localhost:6334. If you've deployed in the [Qdrant Cloud](/documentation/cloud/), you may have a
|
|
longer URL such as `https://example.location.cloud.qdrant.io:6334`.
|
|
- `YOUR_API_KEY`: Substitute the API key associated with your configuration.
|
|
```java
|
|
import dev.langchain4j.store.embedding.EmbeddingStore;
|
|
import dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore;
|
|
|
|
EmbeddingStore<TextSegment> embeddingStore =
|
|
QdrantEmbeddingStore.builder()
|
|
// Ensure the collection is configured with the appropriate dimensions
|
|
// of the embedding model.
|
|
// Reference: https://qdrant.tech/documentation/manage-data/collections/
|
|
.collectionName("YOUR_COLLECTION_NAME")
|
|
.host("YOUR_HOST_URL")
|
|
// GRPC port of the Qdrant server
|
|
.port(6334)
|
|
.apiKey("YOUR_API_KEY")
|
|
.build();
|
|
```
|
|
|
|
`QdrantEmbeddingStore` supports all the semantic features of LangChain4j.
|
|
|
|
## Further Reading
|
|
|
|
- You can refer to the [LangChain4j examples](https://github.com/langchain4j/langchain4j-examples/) to get started.
|
|
- [Source Code](https://github.com/langchain4j/langchain4j/tree/main/langchain4j-qdrant)
|