Copyright	(c) 2025 Tushar Adhatrao
License	MIT
Maintainer	Tushar Adhatrao <[email protected]>
Stability	experimental
Safe Haskell	None
Language	Haskell2010

Langchain.Embeddings.Ollama

Description

Ollama implementation of LangChain's embedding interface. Supports document and query embedding generation through Ollama's API.

Example usage:

-- Create Ollama embeddings configuration
ollamaEmb = OllamaEmbeddings
  { model = "nomic-embed-text:latest"
  , defaultTruncate = Just True
  , defaultKeepAlive = Just "5m"
  }

-- Embed query text
queryVec <- embedQuery ollamaEmb "What is Haskell?"
-- Right [0.12, 0.34, ...]

-- Embed document collection
doc <- Document "Haskell is a functional programming language" mempty
docsVec <- embedDocuments ollamaEmb [doc]
-- Right [[0.56, 0.78, ...]]

Synopsis

data OllamaEmbeddings = OllamaEmbeddings {
- model :: Text
- defaultTruncate :: Maybe Bool
- defaultKeepAlive :: Maybe Text
}

Documentation

data OllamaEmbeddings Source #

Ollama-specific embedding configuration Contains parameters for controlling:

Model selection
Input truncation behavior
Model caching via keep-alive

Example configuration:

>>> OllamaEmbeddings "nomic-embed" (Just False) (Just "1h")
OllamaEmbeddings {model = "nomic-embed", ...}

Constructors

OllamaEmbeddings
Fields model :: Text The name of the Ollama model to use for embeddings defaultTruncate :: Maybe Bool Optional flag to truncate input if supported by the API defaultKeepAlive :: Maybe Text Keep model loaded for specified duration (e.g., "5m")

Instances

Instances details

Show OllamaEmbeddings Source #
Instance details Defined in Langchain.Embeddings.Ollama Methods showsPrec :: Int -> OllamaEmbeddings -> ShowS # show :: OllamaEmbeddings -> String # showList :: [OllamaEmbeddings] -> ShowS #
Eq OllamaEmbeddings Source #
Instance details Defined in Langchain.Embeddings.Ollama Methods (==) :: OllamaEmbeddings -> OllamaEmbeddings -> Bool # (/=) :: OllamaEmbeddings -> OllamaEmbeddings -> Bool #
Embeddings OllamaEmbeddings Source #
Instance details Defined in Langchain.Embeddings.Ollama Methods embedDocuments :: OllamaEmbeddings -> [Document] -> IO (Either String [[Float]]) Source # embedQuery :: OllamaEmbeddings -> Text -> IO (Either String [Float]) Source #