repo_id stringlengths 6 101 | size int64 367 5.14M | file_path stringlengths 1 269 | content stringlengths 367 5.14M |
|---|---|---|---|
Yawan-Chaudhari/Cold_Email_Generator | 10,577 | myenv/Lib/site-packages/langchain_community/graphs/rdf_graph.py | from __future__ import annotations
from typing import (
TYPE_CHECKING,
Dict,
List,
Optional,
)
if TYPE_CHECKING:
import rdflib
prefixes = {
"owl": """PREFIX owl: <http://www.w3.org/2002/07/owl#>\n""",
"rdf": """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n""",
"rdfs": ""... |
Yawan-Chaudhari/Cold_Email_Generator | 10,480 | myenv/Lib/site-packages/langchain_community/graphs/neptune_rdf_graph.py | import json
from types import SimpleNamespace
from typing import Any, Dict, Optional, Sequence
import requests
from langchain_core._api.deprecation import deprecated
# Query to find OWL datatype properties
DTPROP_QUERY = """
SELECT DISTINCT ?elem
WHERE {
?elem a owl:DatatypeProperty .
}
"""
# Query to find OWL o... |
Yawan-Chaudhari/Cold_Email_Generator | 14,586 | myenv/Lib/site-packages/langchain_community/graphs/neptune_graph.py | import json
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Tuple, Union
from langchain_core._api.deprecation import deprecated
class NeptuneQueryException(Exception):
"""Exception for the Neptune queries."""
def __init__(self, exception: Union[str, Dict]):
if isins... |
Yawan-Chaudhari/Cold_Email_Generator | 1,566 | myenv/Lib/site-packages/langchain_community/graphs/graph_document.py | from __future__ import annotations
from typing import List, Union
from langchain_core.documents import Document
from langchain_core.load.serializable import Serializable
from pydantic import Field
class Node(Serializable):
"""Represents a node in a graph with associated properties.
Attributes:
id (... |
Yawan-Chaudhari/Cold_Email_Generator | 6,951 | myenv/Lib/site-packages/langchain_community/graphs/falkordb_graph.py | import warnings
from typing import Any, Dict, List, Optional
from langchain_core._api import deprecated
from langchain_community.graphs.graph_document import GraphDocument
from langchain_community.graphs.graph_store import GraphStore
node_properties_query = """
MATCH (n)
WITH keys(n) as keys, labels(n) AS labels
WIT... |
Yawan-Chaudhari/Cold_Email_Generator | 3,094 | myenv/Lib/site-packages/langchain_community/graphs/__init__.py | """**Graphs** provide a natural language interface to graph databases."""
import importlib
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from langchain_community.graphs.arangodb_graph import (
ArangoGraph,
)
from langchain_community.graphs.falkordb_graph import (
FalkorDBGraph,
... |
Yawan-Chaudhari/Cold_Email_Generator | 17,944 | myenv/Lib/site-packages/langchain_community/graphs/memgraph_graph.py | import logging
from hashlib import md5
from typing import Any, Dict, List, Optional
from langchain_core.utils import get_from_dict_or_env
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_community.graphs.graph_store import GraphStore
logger = logging.getLogger(__... |
Yawan-Chaudhari/Cold_Email_Generator | 2,511 | myenv/Lib/site-packages/langchain_community/graphs/hugegraph.py | from typing import Any, Dict, List
class HugeGraph:
"""HugeGraph wrapper for graph operations.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since... |
Yawan-Chaudhari/Cold_Email_Generator | 3,543 | myenv/Lib/site-packages/langchain_community/graphs/tigergraph_graph.py | from typing import Any, Dict, List, Optional
from langchain_community.graphs.graph_store import GraphStore
class TigerGraph(GraphStore):
"""TigerGraph wrapper for graph operations.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include neces... |
Yawan-Chaudhari/Cold_Email_Generator | 3,952 | myenv/Lib/site-packages/langchain_community/graphs/index_creator.py | from typing import Optional, Type
from pydantic import BaseModel
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from langchain_community.graphs import NetworkxEntityGraph
from langchain_commun... |
Yawan-Chaudhari/Cold_Email_Generator | 8,189 | myenv/Lib/site-packages/langchain_community/graphs/gremlin_graph.py | import hashlib
import sys
from typing import Any, Dict, List, Optional, Union
from langchain_core.utils import get_from_env
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_community.graphs.graph_store import GraphStore
class GremlinGraph(GraphStore):
"""Gre... |
Yawan-Chaudhari/Cold_Email_Generator | 33,702 | myenv/Lib/site-packages/langchain_community/graphs/neo4j_graph.py | from hashlib import md5
from typing import Any, Dict, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.utils import get_from_dict_or_env
from langchain_community.graphs.graph_document import GraphDocument
from langchain_community.graphs.graph_store import GraphStore
BASE_ENTI... |
Yawan-Chaudhari/Cold_Email_Generator | 8,113 | myenv/Lib/site-packages/langchain_community/graphs/nebula_graph.py | import logging
from string import Template
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
rel_query = Template(
"""
MATCH ()-[e:`$edge_type`]->()
WITH e limit 1
MATCH (m)-[:`$edge_type`]->(n) WHERE id(m) == src(e) AND id(n) == dst(e)
RETURN "(:" + tags(m)[0] + ")-[:$edge_type]->(:" ... |
Yawan-Chaudhari/Cold_Email_Generator | 7,646 | myenv/Lib/site-packages/langchain_community/graphs/ontotext_graphdb_graph.py | from __future__ import annotations
import os
from typing import (
TYPE_CHECKING,
List,
Optional,
Union,
)
if TYPE_CHECKING:
import rdflib
class OntotextGraphDBGraph:
"""Ontotext GraphDB https://graphdb.ontotext.com/ wrapper for graph operations.
*Security note*: Make sure that the datab... |
Yawan-Chaudhari/Cold_Email_Generator | 5,636 | myenv/Lib/site-packages/langchain_community/embeddings/oracleai.py | # Authors:
# Harichandan Roy (hroy)
# David Jiang (ddjiang)
#
# -----------------------------------------------------------------------------
# oracleai.py
# -----------------------------------------------------------------------------
from __future__ import annotations
import json
import logging
import traceback... |
Yawan-Chaudhari/Cold_Email_Generator | 2,239 | myenv/Lib/site-packages/langchain_community/embeddings/nlpcloud.py | from typing import Any, Dict, List
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict
class NLPCloudEmbeddings(BaseModel, Embeddings):
"""NLP Cloud embedding models.
To use, you should have the nlpcloud ... |
Yawan-Chaudhari/Cold_Email_Generator | 6,583 | myenv/Lib/site-packages/langchain_community/embeddings/self_hosted_hugging_face.py | import importlib
import logging
from typing import Any, Callable, List, Optional
from langchain_community.embeddings.self_hosted import SelfHostedEmbeddings
DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-large"
DEFAULT_EMBED_INSTRUCTION = "Represent the docu... |
Yawan-Chaudhari/Cold_Email_Generator | 7,396 | myenv/Lib/site-packages/langchain_community/embeddings/bedrock.py | import asyncio
import json
import os
from typing import Any, Dict, List, Optional
import numpy as np
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.runnables.config import run_in_executor
from pydantic import BaseModel, ConfigDict, model_vali... |
Yawan-Chaudhari/Cold_Email_Generator | 1,506 | myenv/Lib/site-packages/langchain_community/embeddings/fake.py | import hashlib
from typing import List
import numpy as np
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel
class FakeEmbeddings(Embeddings, BaseModel):
"""Fake embedding model."""
size: int
"""The size of the embedding vector."""
def _get_embedding(self) -> List[float... |
Yawan-Chaudhari/Cold_Email_Generator | 9,774 | myenv/Lib/site-packages/langchain_community/embeddings/sparkllm.py | import base64
import hashlib
import hmac
import json
import logging
from datetime import datetime
from time import mktime
from typing import Any, Dict, List, Literal, Optional
from urllib.parse import urlencode
from wsgiref.handlers import format_date_time
import numpy as np
import requests
from langchain_core.embeddi... |
Yawan-Chaudhari/Cold_Email_Generator | 4,729 | myenv/Lib/site-packages/langchain_community/embeddings/clova.py | from __future__ import annotations
from typing import Any, Dict, List, Optional, cast
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from pydantic import BaseModel, Con... |
Yawan-Chaudhari/Cold_Email_Generator | 3,029 | myenv/Lib/site-packages/langchain_community/embeddings/mlflow.py | from __future__ import annotations
from typing import Any, Dict, Iterator, List
from urllib.parse import urlparse
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, PrivateAttr
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size):
... |
Yawan-Chaudhari/Cold_Email_Generator | 5,460 | myenv/Lib/site-packages/langchain_community/embeddings/embaas.py | from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict, SecretStr
from requests.adapters import HTTPAdapter, Retry
from typin... |
Yawan-Chaudhari/Cold_Email_Generator | 5,038 | myenv/Lib/site-packages/langchain_community/embeddings/ernie.py | import asyncio
import logging
import threading
from typing import Dict, List, Optional
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.runnables.config import run_in_executor
from langchain_core.utils import get_from_dict_or_en... |
Yawan-Chaudhari/Cold_Email_Generator | 14,750 | myenv/Lib/site-packages/langchain_community/embeddings/vertexai.py | import logging
import re
import string
import threading
from concurrent.futures import ThreadPoolExecutor, wait
from typing import Any, Dict, List, Literal, Optional, Tuple
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.language_models.llms i... |
Yawan-Chaudhari/Cold_Email_Generator | 1,436 | myenv/Lib/site-packages/langchain_community/embeddings/databricks.py | from __future__ import annotations
from typing import Iterator, List
from urllib.parse import urlparse
from langchain_core._api import deprecated
from langchain_community.embeddings.mlflow import MlflowEmbeddings
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size... |
Yawan-Chaudhari/Cold_Email_Generator | 8,238 | myenv/Lib/site-packages/langchain_community/embeddings/naver.py | import logging
from typing import Any, Dict, List, Optional, cast
import httpx
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_env
from pydantic import (
AliasChoices,
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
f... |
Yawan-Chaudhari/Cold_Email_Generator | 5,503 | myenv/Lib/site-packages/langchain_community/embeddings/cohere.py | from typing import Any, Dict, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
from langchain_community.llms.cohere import _create_ret... |
Yawan-Chaudhari/Cold_Email_Generator | 5,461 | myenv/Lib/site-packages/langchain_community/embeddings/baichuan.py | from typing import Any, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import (
secret_from_env,
)
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from requests import RequestException
from typing_exte... |
Yawan-Chaudhari/Cold_Email_Generator | 5,416 | myenv/Lib/site-packages/langchain_community/embeddings/dashscope.py | from __future__ import annotations
import logging
from typing import (
Any,
Callable,
Dict,
List,
Optional,
)
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
from requests.exceptions ... |
Yawan-Chaudhari/Cold_Email_Generator | 7,456 | myenv/Lib/site-packages/langchain_community/embeddings/voyageai.py | from __future__ import annotations
import json
import logging
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Tuple,
Union,
cast,
)
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.util... |
Yawan-Chaudhari/Cold_Email_Generator | 6,305 | myenv/Lib/site-packages/langchain_community/embeddings/baidu_qianfan_endpoint.py | from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict, Field, SecretStr
logger = logging.getLogge... |
Yawan-Chaudhari/Cold_Email_Generator | 11,556 | myenv/Lib/site-packages/langchain_community/embeddings/textembed.py | """
TextEmbed: Embedding Inference Server
TextEmbed provides a high-throughput, low-latency solution for serving embeddings.
It supports various sentence-transformer models.
Now, it includes the ability to deploy image embedding models.
TextEmbed offers flexibility and scalability for diverse applications.
TextEmbed ... |
Yawan-Chaudhari/Cold_Email_Generator | 4,147 | myenv/Lib/site-packages/langchain_community/embeddings/zhipuai.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, Field, model_validator
class ZhipuAIEmbeddings(BaseModel, Embeddings):
"""ZhipuAI embedding model integration.
Setup:
T... |
Yawan-Chaudhari/Cold_Email_Generator | 8,532 | myenv/Lib/site-packages/langchain_community/embeddings/elasticsearch.py | from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain_core._api import deprecated
from langchain_core.utils import get_from_env
if TYPE_CHECKING:
from elasticsearch import Elasticsearch
from elasticsearch.client import MlClient
from langchain_core.embeddings impo... |
Yawan-Chaudhari/Cold_Email_Generator | 4,449 | myenv/Lib/site-packages/langchain_community/embeddings/premai.py | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional, Union
from langchain_core.embeddings import Embeddings
from langchain_core.language_models.llms import create_base_retry_decorator
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic imp... |
Yawan-Chaudhari/Cold_Email_Generator | 2,775 | myenv/Lib/site-packages/langchain_community/embeddings/bookend.py | """Wrapper around Bookend AI embedding models."""
import json
from typing import Any, List
import requests
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field
API_URL = "https://api.bookend.ai/"
DEFAULT_TASK = "embeddings"
PATH = "/models/predict"
class BookendEmbeddi... |
Yawan-Chaudhari/Cold_Email_Generator | 3,651 | myenv/Lib/site-packages/langchain_community/embeddings/javelin_ai_gateway.py | from __future__ import annotations
from typing import Any, Iterator, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size):
yield texts[i : i + size]
class Javel... |
Yawan-Chaudhari/Cold_Email_Generator | 7,737 | myenv/Lib/site-packages/langchain_community/embeddings/titan_takeoff.py | from enum import Enum
from typing import Any, Dict, List, Optional, Set, Union
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class TakeoffEmbeddingException(Exception):
"""Custom exception for interfacing with Takeoff Embedding class."""
class MissingConsumerGroup(... |
Yawan-Chaudhari/Cold_Email_Generator | 4,334 | myenv/Lib/site-packages/langchain_community/embeddings/fastembed.py | import importlib
import importlib.metadata
from typing import Any, Dict, List, Literal, Optional, cast
import numpy as np
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from pydantic import BaseModel, ConfigDict
MIN_VERSION = "0.2.0"
class FastEmbedEmbeddings(BaseModel, E... |
Yawan-Chaudhari/Cold_Email_Generator | 6,147 | myenv/Lib/site-packages/langchain_community/embeddings/minimax.py | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict, Field, SecretStr
... |
Yawan-Chaudhari/Cold_Email_Generator | 3,753 | myenv/Lib/site-packages/langchain_community/embeddings/self_hosted.py | from typing import Any, Callable, List
from langchain_core.embeddings import Embeddings
from pydantic import ConfigDict
from langchain_community.llms.self_hosted import SelfHostedPipeline
def _embed_documents(pipeline: Any, *args: Any, **kwargs: Any) -> List[List[float]]:
"""Inference function to send to the re... |
Yawan-Chaudhari/Cold_Email_Generator | 1,878 | myenv/Lib/site-packages/langchain_community/embeddings/awa.py | from typing import Any, Dict, List
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, model_validator
class AwaEmbeddings(BaseModel, Embeddings):
"""Embedding documents and queries with Awa DB.
Attributes:
client: The AwaEmbedding client.
model: The name of the ... |
Yawan-Chaudhari/Cold_Email_Generator | 2,819 | myenv/Lib/site-packages/langchain_community/embeddings/johnsnowlabs.py | import os
import sys
from typing import Any, List
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class JohnSnowLabsEmbeddings(BaseModel, Embeddings):
"""JohnSnowLabs embedding models
To use, you should have the ``johnsnowlabs`` python package installed.
Examp... |
Yawan-Chaudhari/Cold_Email_Generator | 12,694 | myenv/Lib/site-packages/langchain_community/embeddings/openvino.py | from pathlib import Path
from typing import Any, Dict, List
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field
DEFAULT_QUERY_INSTRUCTION = (
"Represent the question for retrieving supporting documents: "
)
DEFAULT_QUERY_BGE_INSTRUCTION_EN = (
"Represent this que... |
Yawan-Chaudhari/Cold_Email_Generator | 4,664 | myenv/Lib/site-packages/langchain_community/embeddings/clarifai.py | import logging
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field, model_validator
logger = logging.getLogger(__name__)
class ClarifaiEmbeddings(BaseModel, Embeddings):
"""Clarifai embedding models.
To use, you sho... |
Yawan-Chaudhari/Cold_Email_Generator | 2,628 | myenv/Lib/site-packages/langchain_community/embeddings/anyscale.py | """Anyscale embeddings wrapper."""
from __future__ import annotations
from typing import Dict, Optional
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import Field, SecretStr
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_commu... |
Yawan-Chaudhari/Cold_Email_Generator | 5,560 | myenv/Lib/site-packages/langchain_community/embeddings/huggingface_hub.py | import json
from typing import Any, Dict, List, Optional
from langchain_core._api import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
from typing_extensions import Self
DEFAULT_MODEL = "sen... |
Yawan-Chaudhari/Cold_Email_Generator | 8,079 | myenv/Lib/site-packages/langchain_community/embeddings/ollama.py | import logging
from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
logger = logging.getLogger(__name__)
@deprecated(
since="0.3.1",
removal="1.... |
Yawan-Chaudhari/Cold_Email_Generator | 17,630 | myenv/Lib/site-packages/langchain_community/embeddings/huggingface.py | import warnings
from typing import Any, Dict, List, Optional
import requests
from langchain_core._api import deprecated, warn_deprecated
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field, SecretStr
DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"
DEFAULT_... |
Yawan-Chaudhari/Cold_Email_Generator | 3,829 | myenv/Lib/site-packages/langchain_community/embeddings/xinference.py | """Wrapper around Xinference embedding models."""
from typing import Any, List, Optional
from langchain_core.embeddings import Embeddings
class XinferenceEmbeddings(Embeddings):
"""Xinference embedding models.
To use, you should have the xinference library installed:
.. code-block:: bash
pip ... |
Yawan-Chaudhari/Cold_Email_Generator | 2,399 | myenv/Lib/site-packages/langchain_community/embeddings/tensorflow_hub.py | from typing import Any, List
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
DEFAULT_MODEL_URL = "https://tfhub.dev/google/universal-sentence-encoder-multilingual/3"
class TensorflowHubEmbeddings(BaseModel, Embeddings):
"""TensorflowHub embedding models.
To use, ... |
Yawan-Chaudhari/Cold_Email_Generator | 5,092 | myenv/Lib/site-packages/langchain_community/embeddings/mosaicml.py | from typing import Any, Dict, List, Mapping, Optional, Tuple
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
class MosaicMLInstructorEmbeddings(BaseModel, Embeddings):
"""MosaicML em... |
Yawan-Chaudhari/Cold_Email_Generator | 12,632 | myenv/Lib/site-packages/langchain_community/embeddings/localai.py | from __future__ import annotations
import logging
import warnings
from typing import (
Any,
Callable,
Dict,
List,
Literal,
Optional,
Sequence,
Set,
Tuple,
Union,
)
from langchain_core.embeddings import Embeddings
from langchain_core.utils import (
get_from_dict_or_env,
... |
Yawan-Chaudhari/Cold_Email_Generator | 3,098 | myenv/Lib/site-packages/langchain_community/embeddings/laser.py | from typing import Any, Dict, List, Optional, cast
import numpy as np
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from pydantic import BaseModel, ConfigDict
LASER_MULTILINGUAL_MODEL: str = "laser2"
class LaserEmbeddings(BaseModel, Embeddings):
"""LASER Language-Agn... |
Yawan-Chaudhari/Cold_Email_Generator | 6,215 | myenv/Lib/site-packages/langchain_community/embeddings/gigachat.py | from __future__ import annotations
import logging
from functools import cached_property
from typing import Any, Dict, List, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from langchain_core.utils.pydantic impo... |
Yawan-Chaudhari/Cold_Email_Generator | 7,493 | myenv/Lib/site-packages/langchain_community/embeddings/oci_generative_ai.py | from enum import Enum
from typing import Any, Dict, Iterator, List, Mapping, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from pydantic import BaseModel, ConfigDict
CUSTOM_ENDPOINT_PREFIX = "ocid1.generativeaiendpoint"
class OCIAuthType(Enum):
"""OCI authen... |
Yawan-Chaudhari/Cold_Email_Generator | 5,441 | myenv/Lib/site-packages/langchain_community/embeddings/gradient_ai.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from packaging.version import parse
from pydantic import BaseModel, ConfigDict, model_validator
from typing_extensions import Self
__all__ = ["GradientEmbeddings"]
clas... |
Yawan-Chaudhari/Cold_Email_Generator | 3,928 | myenv/Lib/site-packages/langchain_community/embeddings/jina.py | import base64
from os.path import exists
from typing import Any, Dict, List, Optional
from urllib.parse import urlparse
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, SecretStr, mo... |
Yawan-Chaudhari/Cold_Email_Generator | 5,136 | myenv/Lib/site-packages/langchain_community/embeddings/ipex_llm.py | # This file is adapted from
# https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/embeddings/huggingface.py
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field
DEFAULT_BGE_MODEL = "BAAI/bg... |
Yawan-Chaudhari/Cold_Email_Generator | 3,905 | myenv/Lib/site-packages/langchain_community/embeddings/spacy_embeddings.py | import importlib.util
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, model_validator
class SpacyEmbeddings(BaseModel, Embeddings):
"""Embeddings by spaCy models.
Attributes:
model_name (str): Name of a spaCy m... |
Yawan-Chaudhari/Cold_Email_Generator | 4,166 | myenv/Lib/site-packages/langchain_community/embeddings/volcengine.py | from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import BaseModel
logger = logging.getLogger(__name__)
class VolcanoEmbeddings(BaseModel, Embe... |
Yawan-Chaudhari/Cold_Email_Generator | 3,308 | myenv/Lib/site-packages/langchain_community/embeddings/google_palm.py | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict
from tenacity import (
before_sleep_log,
retry,
... |
Yawan-Chaudhari/Cold_Email_Generator | 3,991 | myenv/Lib/site-packages/langchain_community/embeddings/llamafile.py | import logging
from typing import List, Optional
import requests
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel
logger = logging.getLogger(__name__)
class LlamafileEmbeddings(BaseModel, Embeddings):
"""Llamafile lets you distribute and run large language models with a
single... |
Yawan-Chaudhari/Cold_Email_Generator | 3,153 | myenv/Lib/site-packages/langchain_community/embeddings/octoai_embeddings.py | from typing import Dict, Optional
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import Field, SecretStr
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_community.utils.openai import is_openai_v1
DEFAULT_API_BASE = "https://text.... |
Yawan-Chaudhari/Cold_Email_Generator | 4,804 | myenv/Lib/site-packages/langchain_community/embeddings/hunyuan.py | import json
from typing import Any, Dict, List, Literal, Optional, Type
from langchain_core.embeddings import Embeddings
from langchain_core.runnables.config import run_in_executor
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from pydantic import BaseModel, Field, SecretStr, model_valid... |
Yawan-Chaudhari/Cold_Email_Generator | 5,753 | myenv/Lib/site-packages/langchain_community/embeddings/nemo.py | from __future__ import annotations
import asyncio
import json
from typing import Any, Dict, List, Optional
import aiohttp
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from pydantic import BaseModel
d... |
Yawan-Chaudhari/Cold_Email_Generator | 10,155 | myenv/Lib/site-packages/langchain_community/embeddings/infinity.py | """written under MIT Licence, Michael Feil 2023."""
import asyncio
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Callable, Dict, List, Optional, Tuple
import aiohttp
import numpy as np
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_fro... |
Yawan-Chaudhari/Cold_Email_Generator | 4,944 | myenv/Lib/site-packages/langchain_community/embeddings/deepinfra.py | from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict
DEFAULT_MODEL_ID = "sentence-transformers/clip-ViT-B-32"
MAX_BATCH_SIZE = 1024
class DeepI... |
Yawan-Chaudhari/Cold_Email_Generator | 17,353 | myenv/Lib/site-packages/langchain_community/embeddings/__init__.py | """**Embedding models** are wrappers around embedding models
from different APIs and services.
**Embedding models** can be LLMs or not.
**Class hierarchy:**
.. code-block::
Embeddings --> <name>Embeddings # Examples: OpenAIEmbeddings, HuggingFaceEmbeddings
"""
import importlib
import logging
from typing impo... |
Yawan-Chaudhari/Cold_Email_Generator | 2,332 | myenv/Lib/site-packages/langchain_community/embeddings/gpt4all.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, model_validator
class GPT4AllEmbeddings(BaseModel, Embeddings):
"""GPT4All embedding models.
To use, you should have the gpt4all python package installed
Example:
... |
Yawan-Chaudhari/Cold_Email_Generator | 1,843 | myenv/Lib/site-packages/langchain_community/embeddings/model2vec.py | """Wrapper around model2vec embedding models."""
from typing import List
from langchain_core.embeddings import Embeddings
class Model2vecEmbeddings(Embeddings):
"""Model2Vec embedding models.
Install model2vec first, run 'pip install -U model2vec'.
The github repository for model2vec is : https://githu... |
Yawan-Chaudhari/Cold_Email_Generator | 9,618 | myenv/Lib/site-packages/langchain_community/embeddings/aleph_alpha.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, model_validator
class AlephAlphaAsymmetricSemanticEmbedding(BaseModel, Embeddings):
"""Aleph Alpha's asymmetric semantic embedding.
... |
Yawan-Chaudhari/Cold_Email_Generator | 8,207 | myenv/Lib/site-packages/langchain_community/embeddings/azure_openai.py | """Azure OpenAI embeddings wrapper."""
from __future__ import annotations
import os
import warnings
from typing import Any, Awaitable, Callable, Dict, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.utils import get_from_dict_or_env
from pydantic import Field, model_validat... |
Yawan-Chaudhari/Cold_Email_Generator | 8,147 | myenv/Lib/site-packages/langchain_community/embeddings/itrex.py | import importlib.util
import os
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class QuantizedBgeEmbeddings(BaseModel, Embeddings):
"""Leverage Itrex runtime to unlock the performance of compressed NLP models.
Please e... |
Yawan-Chaudhari/Cold_Email_Generator | 12,562 | myenv/Lib/site-packages/langchain_community/embeddings/sambanova.py | import json
from typing import Dict, Generator, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict
class SambaStudioEmbeddings(BaseModel, Embeddings):
"""SambaNova embedding mod... |
Yawan-Chaudhari/Cold_Email_Generator | 2,252 | myenv/Lib/site-packages/langchain_community/embeddings/llm_rails.py | """This file is for LLMRails Embedding"""
from typing import Dict, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import BaseModel, ConfigDict, SecretStr
class LLMRailsEmbeddings(Bas... |
Yawan-Chaudhari/Cold_Email_Generator | 7,915 | myenv/Lib/site-packages/langchain_community/embeddings/yandex.py | """Wrapper around YandexGPT embedding models."""
from __future__ import annotations
import logging
import time
from typing import Any, Callable, Dict, List, Sequence
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic i... |
Yawan-Chaudhari/Cold_Email_Generator | 29,596 | myenv/Lib/site-packages/langchain_community/embeddings/openai.py | from __future__ import annotations
import logging
import os
import warnings
from typing import (
Any,
Callable,
Dict,
List,
Literal,
Mapping,
Optional,
Sequence,
Set,
Tuple,
Union,
cast,
)
import numpy as np
from langchain_core._api.deprecation import deprecated
from la... |
Yawan-Chaudhari/Cold_Email_Generator | 5,075 | myenv/Lib/site-packages/langchain_community/embeddings/infinity_local.py | """written under MIT Licence, Michael Feil 2023."""
import asyncio
from logging import getLogger
from typing import Any, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, model_validator
from typing_extensions import Self
__all__ = ["InfinityEmbeddingsLocal"]... |
Yawan-Chaudhari/Cold_Email_Generator | 2,347 | myenv/Lib/site-packages/langchain_community/embeddings/modelscope_hub.py | from typing import Any, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class ModelScopeEmbeddings(BaseModel, Embeddings):
"""ModelScopeHub embedding models.
To use, you should have the ``modelscope`` python package installed.
Example:
... |
Yawan-Chaudhari/Cold_Email_Generator | 2,414 | myenv/Lib/site-packages/langchain_community/embeddings/text2vec.py | """Wrapper around text2vec embedding models."""
from typing import Any, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class Text2vecEmbeddings(Embeddings, BaseModel):
"""text2vec embedding models.
Install text2vec first, run 'pip install -U text2... |
Yawan-Chaudhari/Cold_Email_Generator | 7,575 | myenv/Lib/site-packages/langchain_community/embeddings/sagemaker_endpoint.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import pre_init
from pydantic import BaseModel, ConfigDict
from langchain_community.llms.sagemaker_endpoint import ContentHandlerBase
class EmbeddingsContentHandler(ContentHandlerBase[List[str], L... |
Yawan-Chaudhari/Cold_Email_Generator | 2,643 | myenv/Lib/site-packages/langchain_community/embeddings/mlflow_gateway.py | from __future__ import annotations
import warnings
from typing import Any, Iterator, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size):
yield texts[i : i + siz... |
Yawan-Chaudhari/Cold_Email_Generator | 7,642 | myenv/Lib/site-packages/langchain_community/embeddings/optimum_intel.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class QuantizedBiEncoderEmbeddings(BaseModel, Embeddings):
"""Quantized bi-encoders embedding models.
Please ensure that you have installed optimum-intel and ipex.
In... |
Yawan-Chaudhari/Cold_Email_Generator | 4,450 | myenv/Lib/site-packages/langchain_community/embeddings/ascend.py | import os
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, model_validator
class AscendEmbeddings(Embeddings, BaseModel):
"""
Ascend NPU accelerate Embedding model
Please ensure that you have installed CANN and torc... |
Yawan-Chaudhari/Cold_Email_Generator | 4,067 | myenv/Lib/site-packages/langchain_community/embeddings/ovhcloud.py | import json
import logging
import time
from typing import Any, List
import requests
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
logger = logging.getLogger(__name__)
class OVHCloudEmbeddings(BaseModel, Embeddings):
"""
OVHcloud AI Endpoints Embeddings.
"""
... |
Yawan-Chaudhari/Cold_Email_Generator | 4,199 | myenv/Lib/site-packages/langchain_community/embeddings/solar.py | from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional
import requests
from langchain_core._api import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic impo... |
Yawan-Chaudhari/Cold_Email_Generator | 3,627 | myenv/Lib/site-packages/langchain_community/embeddings/edenai.py | from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
)
from langchain_community.utilities.requests import Requ... |
Yawan-Chaudhari/Cold_Email_Generator | 2,825 | myenv/Lib/site-packages/langchain_community/embeddings/cloudflare_workersai.py | from typing import Any, Dict, List
import requests
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
DEFAULT_MODEL_NAME = "@cf/baai/bge-base-en-v1.5"
class CloudflareWorkersAIEmbeddings(BaseModel, Embeddings):
"""Cloudflare Workers AI embedding model.
To use, you n... |
Yawan-Chaudhari/Cold_Email_Generator | 4,949 | myenv/Lib/site-packages/langchain_community/embeddings/llamacpp.py | from typing import Any, List, Optional
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict, Field, model_validator
from typing_extensions import Self
class LlamaCppEmbeddings(BaseModel, Embeddings):
"""llama.cpp embedding models.
To use, you should have the llama-cpp-... |
Yawan-Chaudhari/Cold_Email_Generator | 4,644 | myenv/Lib/site-packages/langchain_community/document_compressors/infinity_rerank.py | from __future__ import annotations
from copy import deepcopy
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, Union
from langchain.retrievers.document_compressors.base import BaseDocumentCompressor
from langchain_core.callbacks.manager import Callbacks
from langchain_core.documents import Docume... |
Yawan-Chaudhari/Cold_Email_Generator | 4,940 | myenv/Lib/site-packages/langchain_community/document_compressors/rankllm_rerank.py | from __future__ import annotations
from copy import deepcopy
from enum import Enum
from importlib.metadata import version
from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence
from langchain.retrievers.document_compressors.base import BaseDocumentCompressor
from langchain_core.callbacks.manager import Callb... |
Yawan-Chaudhari/Cold_Email_Generator | 3,952 | myenv/Lib/site-packages/langchain_community/document_compressors/dashscope_rerank.py | from __future__ import annotations
from copy import deepcopy
from typing import Any, Dict, List, Optional, Sequence, Union
from langchain_core.callbacks.base import Callbacks
from langchain_core.documents import BaseDocumentCompressor, Document
from langchain_core.utils import get_from_dict_or_env
from pydantic impor... |
Yawan-Chaudhari/Cold_Email_Generator | 4,310 | myenv/Lib/site-packages/langchain_community/document_compressors/jina_rerank.py | from __future__ import annotations
from copy import deepcopy
from typing import Any, Dict, List, Optional, Sequence, Union
import requests
from langchain_core.callbacks import Callbacks
from langchain_core.documents import BaseDocumentCompressor, Document
from langchain_core.utils import get_from_dict_or_env
from pyd... |
Yawan-Chaudhari/Cold_Email_Generator | 4,450 | myenv/Lib/site-packages/langchain_community/document_compressors/volcengine_rerank.py | from __future__ import annotations
from copy import deepcopy
from typing import Any, Dict, List, Optional, Sequence, Union
from langchain_core.callbacks.base import Callbacks
from langchain_core.documents import BaseDocumentCompressor, Document
from langchain_core.utils import get_from_dict_or_env
from pydantic impor... |
Yawan-Chaudhari/Cold_Email_Generator | 2,869 | myenv/Lib/site-packages/langchain_community/document_compressors/flashrank_rerank.py | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence
from langchain_core.callbacks.manager import Callbacks
from langchain_core.documents import BaseDocumentCompressor, Document
from pydantic import ConfigDict, model_validator
if TYPE_CHECKING:
from flashrank import ... |
Yawan-Chaudhari/Cold_Email_Generator | 6,858 | myenv/Lib/site-packages/langchain_community/document_compressors/llmlingua_filter.py | # LLM Lingua Document Compressor
import re
from typing import Any, Dict, List, Optional, Pattern, Sequence, Tuple
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.documents.compressor import (
BaseDocumentCompressor,
)
from pydantic import ConfigDict... |
Yawan-Chaudhari/Cold_Email_Generator | 6,079 | myenv/Lib/site-packages/langchain_community/document_compressors/openvino_rerank.py | from pathlib import Path
from typing import Any, Dict, Optional, Sequence
import numpy as np
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.documents.compressor import BaseDocumentCompressor
from pydantic import Field
class RerankRequest:
"""Reque... |
Yawan-Chaudhari/Cold_Email_Generator | 2,041 | myenv/Lib/site-packages/langchain_community/document_compressors/__init__.py | import importlib
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from langchain_community.document_compressors.dashscope_rerank import (
DashScopeRerank,
)
from langchain_community.document_compressors.flashrank_rerank import (
FlashrankRerank,
)
from langchain_community.doc... |