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

We'll revisit these deprecation in a later version, once the metrics are migrated.

Author: anistark

src/ragas/embeddings/base.py

@@ -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__(
@@ -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:
@@ -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
@@ -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:

src/ragas/llms/base.py

@@ -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__(
@@ -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__(