From 5cb70a5e78622559ff1f7b8e088c0365c441c45b Mon Sep 17 00:00:00 2001 From: jerry Date: Fri, 19 Jun 2026 16:06:48 -0700 Subject: [PATCH] docs: add missing retrievers to index table --- docs-website/docs/pipeline-components/retrievers.mdx | 6 ++++++ .../version-2.30/pipeline-components/retrievers.mdx | 6 ++++++ .../add-missing-retrievers-to-index-8a68249d6772ccf0.yaml | 4 ++++ 3 files changed, 16 insertions(+) create mode 100644 releasenotes/notes/add-missing-retrievers-to-index-8a68249d6772ccf0.yaml diff --git a/docs-website/docs/pipeline-components/retrievers.mdx b/docs-website/docs/pipeline-components/retrievers.mdx index b0459db59d..f200649ae1 100644 --- a/docs-website/docs/pipeline-components/retrievers.mdx +++ b/docs-website/docs/pipeline-components/retrievers.mdx @@ -164,9 +164,13 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [AzureAISearchHybridRetriever](retrievers/azureaisearchhybridretriever.mdx) | A Retriever based both on dense and sparse embeddings, compatible with the Azure AI Search Document Store. | | [ChromaEmbeddingRetriever](retrievers/chromaembeddingretriever.mdx) | An embedding-based Retriever compatible with the Chroma Document Store. | | [ChromaQueryTextRetriever](retrievers/chromaqueryretriever.mdx) | A Retriever compatible with the Chroma Document Store that uses the Chroma query API. | +| [CogneeRetriever](retrievers/cogneeretriever.mdx) | Retrieves memories from a CogneeMemoryStore and returns them as system ChatMessage objects. | | [ElasticsearchEmbeddingRetriever](retrievers/elasticsearchembeddingretriever.mdx) | An embedding-based Retriever compatible with the Elasticsearch Document Store. | | [ElasticsearchBM25Retriever](retrievers/elasticsearchbm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Elasticsearch Document Store. | | [ElasticsearchSQLRetriever](retrievers/elasticsearchsqlretriever.mdx) | Executes raw Elasticsearch SQL queries against an Elasticsearch Document Store and returns the raw JSON response. | +| [FAISSEmbeddingRetriever](retrievers/faissembeddingretriever.mdx) | An embedding-based Retriever compatible with the FAISSDocumentStore. | +| [FalkorDBCypherRetriever](retrievers/falkordbcypherretriever.mdx) | A Retriever that executes arbitrary OpenCypher queries against a FalkorDB Document Store. | +| [FalkorDBEmbeddingRetriever](retrievers/falkordbembeddingretriever.mdx) | An embedding-based Retriever compatible with the FalkorDB Document Store. | | [InMemoryBM25Retriever](retrievers/inmemorybm25retriever.mdx) | A keyword-based Retriever compatible with the InMemoryDocumentStore. | | [InMemoryEmbeddingRetriever](retrievers/inmemoryembeddingretriever.mdx) | An embedding-based Retriever compatible with the InMemoryDocumentStore. | | [FilterRetriever](retrievers/filterretriever.mdx) | A special Retriever to be used with any Document Store to get the Documents that match specific filters. | @@ -175,6 +179,7 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [MultiQueryTextRetriever](retrievers/multiquerytextretriever.mdx) | Retrieves documents using multiple queries in parallel with a text-based Retriever. | | [MultiRetriever](retrievers/multiretriever.mdx) | Runs multiple text retrievers in parallel and combines their deduplicated results. Experimental. | | [MongoDBAtlasEmbeddingRetriever](retrievers/mongodbatlasembeddingretriever.mdx) | An embedding Retriever compatible with the MongoDB Atlas Document Store. | +| [MongoDBAtlasFullTextRetriever](retrievers/mongodbatlasfulltextretriever.mdx) | A full-text search Retriever compatible with the MongoDB Atlas Document Store. | | [OpenSearchBM25Retriever](retrievers/opensearchbm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from an OpenSearch Document Store. | | [OpenSearchEmbeddingRetriever](retrievers/opensearchembeddingretriever.mdx) | An embedding-based Retriever compatible with the OpenSearch Document Store. | | [OpenSearchHybridRetriever](retrievers/opensearchhybridretriever.mdx) | A SuperComponent that implements a Hybrid Retriever in a single component, relying on OpenSearch as the backend Document Store. | @@ -193,6 +198,7 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [SupabasePgvectorEmbeddingRetriever](retrievers/supabasepgvectorembeddingretriever.mdx) | An embedding-based Retriever compatible with the SupabasePgvectorDocumentStore. | | [SupabasePgvectorKeywordRetriever](retrievers/supabasepgvectorkeywordretriever.mdx) | A keyword-based Retriever that fetches documents matching a query from the SupabasePgvectorDocumentStore. | | [TextEmbeddingRetriever](retrievers/textembeddingretriever.mdx) | Wraps an embedding-based retriever with a text embedder into a single component that accepts a text query. | +| [ValkeyEmbeddingRetriever](retrievers/valkeyembeddingretriever.mdx) | An embedding Retriever compatible with the Valkey Document Store. | | [VespaEmbeddingRetriever](retrievers/vespaembeddingretriever.mdx) | An embedding-based Retriever compatible with the Vespa Document Store. | | [VespaKeywordRetriever](retrievers/vespakeywordretriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Vespa Document Store. | | [WeaviateBM25Retriever](retrievers/weaviatebm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Weaviate Document Store. | diff --git a/docs-website/versioned_docs/version-2.30/pipeline-components/retrievers.mdx b/docs-website/versioned_docs/version-2.30/pipeline-components/retrievers.mdx index ebe3dcefed..5d317e42f9 100644 --- a/docs-website/versioned_docs/version-2.30/pipeline-components/retrievers.mdx +++ b/docs-website/versioned_docs/version-2.30/pipeline-components/retrievers.mdx @@ -164,9 +164,13 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [AzureAISearchHybridRetriever](retrievers/azureaisearchhybridretriever.mdx) | A Retriever based both on dense and sparse embeddings, compatible with the Azure AI Search Document Store. | | [ChromaEmbeddingRetriever](retrievers/chromaembeddingretriever.mdx) | An embedding-based Retriever compatible with the Chroma Document Store. | | [ChromaQueryTextRetriever](retrievers/chromaqueryretriever.mdx) | A Retriever compatible with the Chroma Document Store that uses the Chroma query API. | +| [CogneeRetriever](retrievers/cogneeretriever.mdx) | Retrieves memories from a CogneeMemoryStore and returns them as system ChatMessage objects. | | [ElasticsearchEmbeddingRetriever](retrievers/elasticsearchembeddingretriever.mdx) | An embedding-based Retriever compatible with the Elasticsearch Document Store. | | [ElasticsearchBM25Retriever](retrievers/elasticsearchbm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Elasticsearch Document Store. | | [ElasticsearchSQLRetriever](retrievers/elasticsearchsqlretriever.mdx) | Executes raw Elasticsearch SQL queries against an Elasticsearch Document Store and returns the raw JSON response. | +| [FAISSEmbeddingRetriever](retrievers/faissembeddingretriever.mdx) | An embedding-based Retriever compatible with the FAISSDocumentStore. | +| [FalkorDBCypherRetriever](retrievers/falkordbcypherretriever.mdx) | A Retriever that executes arbitrary OpenCypher queries against a FalkorDB Document Store. | +| [FalkorDBEmbeddingRetriever](retrievers/falkordbembeddingretriever.mdx) | An embedding-based Retriever compatible with the FalkorDB Document Store. | | [InMemoryBM25Retriever](retrievers/inmemorybm25retriever.mdx) | A keyword-based Retriever compatible with the InMemoryDocumentStore. | | [InMemoryEmbeddingRetriever](retrievers/inmemoryembeddingretriever.mdx) | An embedding-based Retriever compatible with the InMemoryDocumentStore. | | [FilterRetriever](retrievers/filterretriever.mdx) | A special Retriever to be used with any Document Store to get the Documents that match specific filters. | @@ -175,6 +179,7 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [MultiQueryTextRetriever](retrievers/multiquerytextretriever.mdx) | Retrieves documents using multiple queries in parallel with a text-based Retriever. | | [MultiRetriever](retrievers/multiretriever.mdx) | Runs multiple text retrievers in parallel and combines their deduplicated results. Experimental. | | [MongoDBAtlasEmbeddingRetriever](retrievers/mongodbatlasembeddingretriever.mdx) | An embedding Retriever compatible with the MongoDB Atlas Document Store. | +| [MongoDBAtlasFullTextRetriever](retrievers/mongodbatlasfulltextretriever.mdx) | A full-text search Retriever compatible with the MongoDB Atlas Document Store. | | [OpenSearchBM25Retriever](retrievers/opensearchbm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from an OpenSearch Document Store. | | [OpenSearchEmbeddingRetriever](retrievers/opensearchembeddingretriever.mdx) | An embedding-based Retriever compatible with the OpenSearch Document Store. | | [OpenSearchHybridRetriever](retrievers/opensearchhybridretriever.mdx) | A SuperComponent that implements a Hybrid Retriever in a single component, relying on OpenSearch as the backend Document Store. | @@ -193,6 +198,7 @@ For details on how to initialize and use a Retriever in a pipeline, see the docu | [SupabasePgvectorEmbeddingRetriever](retrievers/supabasepgvectorembeddingretriever.mdx) | An embedding-based Retriever compatible with the SupabasePgvectorDocumentStore. | | [SupabasePgvectorKeywordRetriever](retrievers/supabasepgvectorkeywordretriever.mdx) | A keyword-based Retriever that fetches documents matching a query from the SupabasePgvectorDocumentStore. | | [TextEmbeddingRetriever](retrievers/textembeddingretriever.mdx) | Wraps an embedding-based retriever with a text embedder into a single component that accepts a text query. | +| [ValkeyEmbeddingRetriever](retrievers/valkeyembeddingretriever.mdx) | An embedding Retriever compatible with the Valkey Document Store. | | [VespaEmbeddingRetriever](retrievers/vespaembeddingretriever.mdx) | An embedding-based Retriever compatible with the Vespa Document Store. | | [VespaKeywordRetriever](retrievers/vespakeywordretriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Vespa Document Store. | | [WeaviateBM25Retriever](retrievers/weaviatebm25retriever.mdx) | A keyword-based Retriever that fetches Documents matching a query from the Weaviate Document Store. | diff --git a/releasenotes/notes/add-missing-retrievers-to-index-8a68249d6772ccf0.yaml b/releasenotes/notes/add-missing-retrievers-to-index-8a68249d6772ccf0.yaml new file mode 100644 index 0000000000..e259eba94b --- /dev/null +++ b/releasenotes/notes/add-missing-retrievers-to-index-8a68249d6772ccf0.yaml @@ -0,0 +1,4 @@ +--- +fixes: + - | + Six retriever components (CogneeRetriever, FAISSEmbeddingRetriever, FalkorDBCypherRetriever, FalkorDBEmbeddingRetriever, MongoDBAtlasFullTextRetriever, ValkeyEmbeddingRetriever) were missing from the retriever index table in both current and versioned docs.