# gdtest_long_names

> Test sidebar wrapping with long object names

## Docs

### API Reference

#### Document Stores
> Backend storage systems for documents and embeddings.

- [BaseDocumentStore](reference/BaseDocumentStore.html): Abstract base class for document stores
- [DuckDBDocumentStore](reference/DuckDBDocumentStore.html): DuckDB-backed document store with vector search
- [PostgreSQLDocumentStore](reference/PostgreSQLDocumentStore.html): PostgreSQL-backed document store with pgvector

#### DuckDBDocumentStore Methods
> Methods for the DuckDBDocumentStore class

- [DuckDBDocumentStore.upsert_documents](reference/DuckDBDocumentStore.upsert_documents.html)
- [DuckDBDocumentStore.ingest_from_directory](reference/DuckDBDocumentStore.ingest_from_directory.html)
- [DuckDBDocumentStore.retrieve_by_similarity](reference/DuckDBDocumentStore.retrieve_by_similarity.html)
- [DuckDBDocumentStore.retrieve_by_bm25_score](reference/DuckDBDocumentStore.retrieve_by_bm25_score.html)
- [DuckDBDocumentStore.retrieve_hybrid_combination](reference/DuckDBDocumentStore.retrieve_hybrid_combination.html)
- [DuckDBDocumentStore.build_vector_index](reference/DuckDBDocumentStore.build_vector_index.html)
- [DuckDBDocumentStore.get_collection_size](reference/DuckDBDocumentStore.get_collection_size.html)

#### Embedding Providers
> Services for generating vector embeddings.

- [EmbeddingProvider](reference/EmbeddingProvider.html): Base class for embedding providers
- [OpenAIEmbeddingProvider](reference/OpenAIEmbeddingProvider.html): OpenAI embedding provider using text-embedding models
- [CohereEmbeddingProvider](reference/CohereEmbeddingProvider.html): Cohere embedding provider with input type support

#### Chunker Strategies
> Strategies for splitting documents into chunks.

- [BaseChunkerStrategy](reference/BaseChunkerStrategy.html): Abstract base class for document chunking strategies
- [MarkdownChunkerStrategy](reference/MarkdownChunkerStrategy.html): Markdown-aware chunking strategy that respects heading boundaries

#### Data Types
> Type definitions and result containers.

- [RetrievedDocumentChunk](reference/RetrievedDocumentChunk.html): A document chunk returned from a retrieval query
- [DocumentMetadataConfig](reference/DocumentMetadataConfig.html): Configuration for document metadata extraction
- [EmbeddingVectorResult](reference/EmbeddingVectorResult.html): Result container for embedding vector operations

#### Plain Text Names
> Classes with long names containing no special characters.

- [documentstorewithvectorsearchcapabilities](reference/documentstorewithvectorsearchcapabilities.html): A store for documents supporting vector search
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.html): All-uppercase embedding provider class
- [Chunkerstrategywithoverlapdetection](reference/Chunkerstrategywithoverlapdetection.html): Initial-cap chunker strategy class

#### documentstorewithvectorsearchcapabilities Methods
> Methods for the documentstorewithvectorsearchcapabilities class

- [documentstorewithvectorsearchcapabilities.insertdocumentswithembeddings](reference/documentstorewithvectorsearchcapabilities.insertdocumentswithembeddings.html)
- [documentstorewithvectorsearchcapabilities.searchbyvectorsimilarity](reference/documentstorewithvectorsearchcapabilities.searchbyvectorsimilarity.html)
- [documentstorewithvectorsearchcapabilities.rebuildvectorsearchindex](reference/documentstorewithvectorsearchcapabilities.rebuildvectorsearchindex.html)
- [documentstorewithvectorsearchcapabilities.deletedocumentsbyidentifier](reference/documentstorewithvectorsearchcapabilities.deletedocumentsbyidentifier.html)
- [documentstorewithvectorsearchcapabilities.countdocumentsincollection](reference/documentstorewithvectorsearchcapabilities.countdocumentsincollection.html)
- [documentstorewithvectorsearchcapabilities.exportcollectiontojsonlines](reference/documentstorewithvectorsearchcapabilities.exportcollectiontojsonlines.html)

#### EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT Methods
> Methods for the EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT class

- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.GENERATEEMBEDDINGSFROMTEXTINPUT](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.GENERATEEMBEDDINGSFROMTEXTINPUT.html)
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.CALCULATETOKENCOUNTFORTEXTS](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.CALCULATETOKENCOUNTFORTEXTS.html)
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.RETRIEVEMODELCONFIGURATION](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.RETRIEVEMODELCONFIGURATION.html)
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.VALIDATEINPUTTEXTLENGTHS](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.VALIDATEINPUTTEXTLENGTHS.html)
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.EXPORTEMBEDDINGSTOFILE](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.EXPORTEMBEDDINGSTOFILE.html)
- [EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.RESETINTERNALBATCHCOUNTER](reference/EMBEDDINGPROVIDERWITHBATCHPROCESSINGSUPPORT.RESETINTERNALBATCHCOUNTER.html)

#### Chunkerstrategywithoverlapdetection Methods
> Methods for the Chunkerstrategywithoverlapdetection class

- [Chunkerstrategywithoverlapdetection.splitcontentintochunks](reference/Chunkerstrategywithoverlapdetection.splitcontentintochunks.html)
- [Chunkerstrategywithoverlapdetection.detectoverlapboundaries](reference/Chunkerstrategywithoverlapdetection.detectoverlapboundaries.html)
- [Chunkerstrategywithoverlapdetection.mergeundersizedfragments](reference/Chunkerstrategywithoverlapdetection.mergeundersizedfragments.html)
- [Chunkerstrategywithoverlapdetection.calculateoverlappercentage](reference/Chunkerstrategywithoverlapdetection.calculateoverlappercentage.html)
- [Chunkerstrategywithoverlapdetection.exportchunkswithoverlap](reference/Chunkerstrategywithoverlapdetection.exportchunkswithoverlap.html)
- [Chunkerstrategywithoverlapdetection.resetinternalchunkcache](reference/Chunkerstrategywithoverlapdetection.resetinternalchunkcache.html)