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chore: remove deprecation warnings for LangchainLLMWrapper, LlamaIndexLLMWrapper, and embedding wrappers #2387

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Oct 28, 2025
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chore: remove deprecation warnings for LangchainLLMWrapper, LlamaIndexLLMWrapper, and embedding wrappers #2387

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84 changes: 42 additions & 42 deletions src/ragas/embeddings/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -247,17 +247,18 @@ class LangchainEmbeddingsWrapper(BaseRagasEmbeddings):
"""
Wrapper for any embeddings from langchain.

.. deprecated::
LangchainEmbeddingsWrapper is deprecated and will be removed in a future version.
Use the modern embedding providers directly with embedding_factory() instead:

# Instead of:
# embedder = LangchainEmbeddingsWrapper(langchain_embeddings)

# Use:
# embedder = embedding_factory("openai", model="text-embedding-3-small", client=openai_client)
# embedder = embedding_factory("huggingface", model="sentence-transformers/all-MiniLM-L6-v2")
# embedder = embedding_factory("google", client=vertex_client)
# TODO: Revisit deprecation warning
# .. deprecated::
# LangchainEmbeddingsWrapper is deprecated and will be removed in a future version.
# Use the modern embedding providers directly with embedding_factory() instead:
#
# # Instead of:
# # embedder = LangchainEmbeddingsWrapper(langchain_embeddings)
#
# # Use:
# # embedder = embedding_factory("openai", model="text-embedding-3-small", client=openai_client)
# # embedder = embedding_factory("huggingface", model="sentence-transformers/all-MiniLM-L6-v2")
# # embedder = embedding_factory("google", client=vertex_client)
"""

def __init__(
Expand All @@ -266,16 +267,15 @@ def __init__(
run_config: t.Optional[RunConfig] = None,
cache: t.Optional[CacheInterface] = None,
):
import warnings

warnings.warn(
"LangchainEmbeddingsWrapper is deprecated and will be removed in a future version. "
"Use the modern embedding providers instead: "
"embedding_factory('openai', model='text-embedding-3-small', client=openai_client) "
"or from ragas.embeddings import OpenAIEmbeddings, GoogleEmbeddings, HuggingFaceEmbeddings",
DeprecationWarning,
stacklevel=2,
)
# TODO: Revisit deprecation warning
# warnings.warn(
# "LangchainEmbeddingsWrapper is deprecated and will be removed in a future version. "
# "Use the modern embedding providers instead: "
# "embedding_factory('openai', model='text-embedding-3-small', client=openai_client) "
# "or from ragas.embeddings import OpenAIEmbeddings, GoogleEmbeddings, HuggingFaceEmbeddings",
# DeprecationWarning,
# stacklevel=2,
# )
super().__init__(cache=cache)
self.embeddings = embeddings
if run_config is None:
Expand Down Expand Up @@ -513,17 +513,18 @@ class LlamaIndexEmbeddingsWrapper(BaseRagasEmbeddings):
"""
Wrapper for any embeddings from llama-index.

.. deprecated::
LlamaIndexEmbeddingsWrapper is deprecated and will be removed in a future version.
Use the modern embedding providers directly with embedding_factory() instead:

# Instead of:
# embedder = LlamaIndexEmbeddingsWrapper(llama_index_embeddings)

# Use:
# embedder = embedding_factory("openai", model="text-embedding-3-small", client=openai_client)
# embedder = embedding_factory("huggingface", model="sentence-transformers/all-MiniLM-L6-v2")
# embedder = embedding_factory("google", client=vertex_client)
# TODO: Revisit deprecation warning
# .. deprecated::
# LlamaIndexEmbeddingsWrapper is deprecated and will be removed in a future version.
# Use the modern embedding providers directly with embedding_factory() instead:
#
# # Instead of:
# # embedder = LlamaIndexEmbeddingsWrapper(llama_index_embeddings)
#
# # Use:
# # embedder = embedding_factory("openai", model="text-embedding-3-small", client=openai_client)
# # embedder = embedding_factory("huggingface", model="sentence-transformers/all-MiniLM-L6-v2")
# # embedder = embedding_factory("google", client=vertex_client)

This class provides a wrapper for llama-index embeddings, allowing them to be used
within the Ragas framework. It supports both synchronous and asynchronous embedding
Expand Down Expand Up @@ -557,16 +558,15 @@ def __init__(
run_config: t.Optional[RunConfig] = None,
cache: t.Optional[CacheInterface] = None,
):
import warnings

warnings.warn(
"LlamaIndexEmbeddingsWrapper is deprecated and will be removed in a future version. "
"Use the modern embedding providers instead: "
"embedding_factory('openai', model='text-embedding-3-small', client=openai_client) "
"or from ragas.embeddings import OpenAIEmbeddings, GoogleEmbeddings, HuggingFaceEmbeddings",
DeprecationWarning,
stacklevel=2,
)
# TODO: Revisit deprecation warning
# warnings.warn(
# "LlamaIndexEmbeddingsWrapper is deprecated and will be removed in a future version. "
# "Use the modern embedding providers instead: "
# "embedding_factory('openai', model='text-embedding-3-small', client=openai_client) "
# "or from ragas.embeddings import OpenAIEmbeddings, GoogleEmbeddings, HuggingFaceEmbeddings",
# DeprecationWarning,
# stacklevel=2,
# )
super().__init__(cache=cache)
self.embeddings = embeddings
if run_config is None:
Expand Down
30 changes: 16 additions & 14 deletions src/ragas/llms/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -134,13 +134,14 @@ class LangchainLLMWrapper(BaseRagasLLM):
- generate_text: for generating text from a given PromptValue
- agenerate_text: for generating text from a given PromptValue asynchronously

.. deprecated::
LangchainLLMWrapper is deprecated and will be removed in a future version.
Use llm_factory instead:
from openai import OpenAI
from ragas.llms import llm_factory
client = OpenAI(api_key="...")
llm = llm_factory("gpt-4o-mini", client=client)
# TODO: Revisit deprecation warning
# .. deprecated::
# LangchainLLMWrapper is deprecated and will be removed in a future version.
# Use llm_factory instead:
# from openai import OpenAI
# from ragas.llms import llm_factory
# client = OpenAI(api_key="...")
# llm = llm_factory("gpt-4o-mini", client=client)
"""

def __init__(
Expand Down Expand Up @@ -342,13 +343,14 @@ class LlamaIndexLLMWrapper(BaseRagasLLM):
"""
A Adaptor for LlamaIndex LLMs

.. deprecated::
LlamaIndexLLMWrapper is deprecated and will be removed in a future version.
Use llm_factory instead:
from openai import OpenAI
from ragas.llms import llm_factory
client = OpenAI(api_key="...")
llm = llm_factory("gpt-4o-mini", client=client)
# TODO: Revisit deprecation warning
# .. deprecated::
# LlamaIndexLLMWrapper is deprecated and will be removed in a future version.
# Use llm_factory instead:
# from openai import OpenAI
# from ragas.llms import llm_factory
# client = OpenAI(api_key="...")
# llm = llm_factory("gpt-4o-mini", client=client)
"""

def __init__(
Expand Down
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