EmbeddingHashMatches returns true if the hash of the embedding matches the given hash.

MarshalEmbedding marshals the ai.Embedding resource to binary ProtoBuf.

NewBatchReducer is a BatchReducer constructor.

NewClient creates a new client for OpenAI API.

NewClientFromConfig creates a new client for OpenAI API from config.

NewEmbeddingProcessor returns a new EmbeddingProcessor.

UnmarshalEmbedding unmarshals binary ProtoBuf into an ai.Embedding resource.

BatchReducer is a helper that processes data in batches.

Chat represents a conversation between a user and an assistant with context memory.

Client is a client for OpenAI API.

Document is a embedding enriched with similarity score.

EmbeddingProcessor is responsible for processing nodes, generating embeddings and storing their embeddings in the backend.

EmbeddingProcessorConfig is the configuration for EmbeddingProcessor.

MockEmbedder returns embeddings based on the sha256 hash function.

SimpleRetriever is a simple implementation of embeddings retriever.

Embeddings implements the minimal interface used by the Embedding processor.

FilterFn is a function that filters out embeddings.