Embeddings by SpaCy models.
embeddings.tensorflow_hub.TensorflowHubEmbeddings
TensorflowHub embedding models.
embeddings.vertexai.VertexAIEmbeddings
Google Cloud VertexAI embedding models.
embeddings.voyageai.VoyageEmbeddings
Voyage embedding models.
embeddings.xinference.XinferenceEmbeddings([...])
Xinference embedding models.
Functions¶
embeddings.dashscope.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.google_palm.embed_with_retry(...)
Use tenacity to retry the completion call.
embeddings.localai.async_embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.localai.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.minimax.embed_with_retry(...)
Use tenacity to retry the completion call.
embeddings.openai.async_embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.openai.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.self_hosted_hugging_face.load_embedding_model(...)
Load the embedding model.
embeddings.voyageai.embed_with_retry(...)
Use tenacity to retry the embedding call.
langchain_community.graphs¶
Graphs provide a natural language interface to graph databases.
Classes¶
graphs.arangodb_graph.ArangoGraph(db)
ArangoDB wrapper for graph operations.
graphs.falkordb_graph.FalkorDBGraph(database)
FalkorDB wrapper for graph operations.
graphs.graph_document.GraphDocument
Represents a graph document consisting of nodes and relationships.
graphs.graph_document.Node
Represents a node in a graph with associated properties.
graphs.graph_document.Relationship
Represents a directed relationship between two nodes in a graph.
graphs.graph_store.GraphStore()
An abstract class wrapper for graph operations.