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docs: Updating the imports for langchain-databricks to databricks-langchain (#29646)
Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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@ -509,7 +509,7 @@
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"source": [
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"## API reference\n",
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"\n",
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"For detailed documentation of all ChatDatabricks features and configurations head to the API reference: https://python.langchain.com/api_reference/databricks/chat_models/langchain_databricks.chat_models.ChatDatabricks.html"
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"For detailed documentation of all ChatDatabricks features and configurations head to the API reference: https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.ChatDatabricks"
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]
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}
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],
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@ -506,7 +506,7 @@
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"source": [
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"## API reference\n",
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"\n",
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"For detailed documentation of all DatabricksVectorSearch features and configurations head to the API reference: https://python.langchain.com/api_reference/databricks/vectorstores/langchain_databricks.vectorstores.DatabricksVectorSearch.html"
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"For detailed documentation of all DatabricksVectorSearch features and configurations head to the API reference: https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksVectorSearch"
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]
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}
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],
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@ -27,7 +27,6 @@ const FEATURE_TABLES = {
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"multimodal": true,
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"local": false,
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"apiLink": "https://python.langchain.com/api_reference/anthropic/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html"
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},
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{
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"name": "ChatMistralAI",
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@ -200,21 +199,21 @@ const FEATURE_TABLES = {
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"link": "upstage",
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"structured_output": true,
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"tool_calling": true,
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"json_mode": false,
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"json_mode": false,
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"multimodal": false,
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"local": false,
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"apiLink": "https://python.langchain.com/api_reference/upstage/chat_models/langchain_upstage.chat_models.ChatUpstage.html"
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},
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{
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"name": "ChatDatabricks",
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"package": "langchain-databricks",
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"package": "databricks-langchain",
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"link": "databricks",
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"structured_output": true,
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"tool_calling": true,
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"json_mode": false,
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"json_mode": false,
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"multimodal": false,
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"local": false,
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"apiLink": "https://python.langchain.com/api_reference/upstage/chat_models/langchain_databricks.chat_models.ChatDatabricks.html"
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"apiLink": "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.ChatDatabricks"
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},
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{
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"name": "ChatWatsonx",
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@ -222,7 +221,7 @@ const FEATURE_TABLES = {
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"link": "ibm_watsonx",
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"structured_output": true,
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"tool_calling": true,
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"json_mode": true,
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"json_mode": true,
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"multimodal": false,
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"local": false,
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"apiLink": "https://python.langchain.com/api_reference/ibm/chat_models/langchain_ibm.chat_models.ChatWatsonx.html"
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@ -389,8 +388,8 @@ const FEATURE_TABLES = {
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{
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name: "Databricks",
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link: "databricks",
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package: "langchain-databricks",
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apiLink: "https://python.langchain.com/api_reference/nomic/embeddings/langchain_databricks.embeddings.DatabricksEmbeddings.html"
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package: "databricks-langchain",
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apiLink: "https://api-docs.databricks.com/python/databricks-ai-bridge/latest/databricks_langchain.html#databricks_langchain.DatabricksEmbeddings"
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},
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{
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name: "VoyageAI",
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@ -620,7 +619,6 @@ const FEATURE_TABLES = {
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partnerPackage: false,
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loaderName: "SharePointLoader",
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apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.sharepoint.SharePointLoader.html"
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},
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{
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name: "Tencent COS Directory",
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@ -754,7 +752,6 @@ const FEATURE_TABLES = {
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link: "twitter",
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loaderName: "TwitterTweetLoader",
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apiLink: "https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.twitter.TwitterTweetLoader.html"
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},
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{
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name: "Reddit",
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@ -1185,7 +1182,7 @@ const FEATURE_TABLES = {
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multiTenancy: false,
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local: false,
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idsInAddDocuments: false,
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},
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},
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],
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}
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};
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@ -11,7 +11,7 @@ logger = logging.getLogger(__name__)
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@deprecated(
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since="0.3.3",
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removal="1.0",
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alternative_import="langchain_databricks.ChatDatabricks",
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alternative_import="databricks_langchain.ChatDatabricks",
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)
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class ChatDatabricks(ChatMlflow):
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"""`Databricks` chat models API.
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@ -16,7 +16,7 @@ def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
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@deprecated(
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since="0.3.3",
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removal="1.0",
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alternative_import="langchain_databricks.DatabricksEmbeddings",
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alternative_import="databricks_langchain.DatabricksEmbeddings",
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)
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class DatabricksEmbeddings(MlflowEmbeddings):
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"""Databricks embeddings.
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@ -266,7 +266,7 @@ def _pickle_fn_to_hex_string(fn: Callable) -> str:
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@deprecated(
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since="0.3.3",
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removal="1.0",
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alternative_import="langchain_databricks.ChatDatabricks",
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alternative_import="databricks_langchain.ChatDatabricks",
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)
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class Databricks(LLM):
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"""Databricks serving endpoint or a cluster driver proxy app for LLM.
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@ -32,7 +32,7 @@ logger = logging.getLogger(__name__)
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@deprecated(
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since="0.3.3",
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removal="1.0",
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alternative_import="langchain_databricks.DatabricksVectorSearch",
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alternative_import="databricks_langchain.DatabricksVectorSearch",
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)
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class DatabricksVectorSearch(VectorStore):
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"""`Databricks Vector Search` vector store.
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