text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from __future__ import annotations
import logging
import os
import traceback
import uuid
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Iterable, List, Optional, Tuple
import requests
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langcha... | langchain/libs/community/langchain_community/vectorstores/clarifai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/clarifai.py",
"repo_id": "langchain",
"token_count": 5215
} | 308 |
# coding=utf-8
# Copyright 2021 The Facebook, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | transformers/src/transformers/models/blenderbot_small/configuration_blenderbot_small.py/0 | {
"file_path": "transformers/src/transformers/models/blenderbot_small/configuration_blenderbot_small.py",
"repo_id": "transformers",
"token_count": 8145
} | 626 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/conceptual_guides/adapter.md/0 | {
"file_path": "peft/docs/source/conceptual_guides/adapter.md",
"repo_id": "peft",
"token_count": 2203
} | 312 |
import "./globals.css";
import type { Metadata } from "next";
import { Inter } from "next/font/google";
const inter = Inter({ subsets: ["latin"] });
export const metadata: Metadata = {
title: "Chat LangChain",
description: "Chatbot for LangChain",
};
export default function RootLayout({
children,
}: {
childr... | chat-langchain/chat-langchain/app/layout.tsx/0 | {
"file_path": "chat-langchain/chat-langchain/app/layout.tsx",
"repo_id": "chat-langchain",
"token_count": 270
} | 8 |
<jupyter_start><jupyter_code># Setup OpenAI with credentials
import openai
openai.api_key = "sk-your-key"<jupyter_output><empty_output><jupyter_text>Leveraging the GraphQL schema in our AgentThe schema was retrieved using the `apollo client:download-schema` command: `apollo client:download-schema download3.json --endp... | llama_index/llama-index-integrations/tools/llama-index-tools-shopify/examples/shopify.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-shopify/examples/shopify.ipynb",
"repo_id": "llama_index",
"token_count": 2575
} | 1,496 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/kv/rocksdb/rocksdb_kv_test.go/0 | {
"file_path": "milvus/internal/kv/rocksdb/rocksdb_kv_test.go",
"repo_id": "milvus",
"token_count": 4299
} | 1,824 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/pipeline_sdxl_style_aligned.py/0 | {
"file_path": "diffusers/examples/community/pipeline_sdxl_style_aligned.py",
"repo_id": "diffusers",
"token_count": 44173
} | 213 |
import { IEmbeddingFunction } from "./IEmbeddingFunction";
let CohereAiApi: any;
export class HuggingFaceEmbeddingServerFunction implements IEmbeddingFunction {
private url: string;
constructor({ url }: { url: string }) {
// we used to construct the client here, but we need to async import the types
... | chroma/clients/js/src/embeddings/HuggingFaceEmbeddingServerFunction.ts/0 | {
"file_path": "chroma/clients/js/src/embeddings/HuggingFaceEmbeddingServerFunction.ts",
"repo_id": "chroma",
"token_count": 371
} | 32 |
# Pytorch cheatsheet
{{#include ../../../README.md:cheatsheet}}
| candle/candle-book/src/guide/cheatsheet.md/0 | {
"file_path": "candle/candle-book/src/guide/cheatsheet.md",
"repo_id": "candle",
"token_count": 26
} | 33 |
import json
import logging
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChu... | langchain/libs/community/langchain_community/llms/textgen.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/textgen.py",
"repo_id": "langchain",
"token_count": 6107
} | 282 |
import { ChatLlamaCpp } from "@langchain/community/chat_models/llama_cpp";
const llamaPath = "/Replace/with/path/to/your/model/gguf-llama2-q4_0.bin";
const model = new ChatLlamaCpp({ modelPath: llamaPath, temperature: 0.7 });
const stream = await model.stream("Tell me a short story about a happy Llama.");
for await... | langchainjs/examples/src/models/chat/integration_llama_cpp_stream.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_llama_cpp_stream.ts",
"repo_id": "langchainjs",
"token_count": 183
} | 804 |
@@@@body@struct_name
virtual void
visit(@@struct_name@@&) = 0;
####
@@@@main
#pragma once
// Generated File
// DO NOT EDIT
#include "query/@@root_base@@.h"
namespace @@namespace@@ {
class @@root_base@@Visitor {
public:
virtual ~@@root_base@@Visitor() = default;
public:
@@body@@
};
} // namespace @@names... | milvus/tools/core_gen/templates/visitor_base.h/0 | {
"file_path": "milvus/tools/core_gen/templates/visitor_base.h",
"repo_id": "milvus",
"token_count": 122
} | 1,990 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_string_expr.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_string_expr.cpp",
"repo_id": "milvus",
"token_count": 13886
} | 1,956 |
from langchain_community.utilities.reddit_search import RedditSearchAPIWrapper
__all__ = ["RedditSearchAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/reddit_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/reddit_search.py",
"repo_id": "langchain",
"token_count": 32
} | 574 |
"""Adapter utils."""
import json
import logging
import os
from abc import abstractmethod
from typing import Callable, Dict
import torch
import torch.nn.functional as F
from torch import Tensor, nn
logger = logging.getLogger(__name__)
class BaseAdapter(nn.Module):
"""Base adapter.
Can be subclassed to impl... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/adapter_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/adapter_utils.py",
"repo_id": "llama_index",
"token_count": 2411
} | 1,648 |
# coding=utf-8
# Copyright 2023 Mesh TensorFlow authors, T5 Authors and HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | transformers/src/transformers/models/umt5/modeling_umt5.py/0 | {
"file_path": "transformers/src/transformers/models/umt5/modeling_umt5.py",
"repo_id": "transformers",
"token_count": 37579
} | 731 |
# SSL ResNeXT
A **ResNeXt** repeats a [building block](https://paperswithcode.com/method/resnext-block) that aggregates a set of transformations with the same topology. Compared to a [ResNet](https://paperswithcode.com/method/resnet), it exposes a new dimension, *cardinality* (the size of the set of transformations) ... | pytorch-image-models/docs/models/.templates/models/ssl-resnext.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/ssl-resnext.md",
"repo_id": "pytorch-image-models",
"token_count": 2623
} | 351 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/nat/configuration_nat.py/0 | {
"file_path": "transformers/src/transformers/models/nat/configuration_nat.py",
"repo_id": "transformers",
"token_count": 2760
} | 640 |
""" Knowledge Graph Query Engine."""
import logging
from typing import Any, Dict, List, Optional, Sequence
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from ll... | llama_index/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py",
"repo_id": "llama_index",
"token_count": 4628
} | 1,136 |
from llama_index.core.postprocessor import MetadataReplacementPostProcessor
from llama_index.core.schema import NodeWithScore, TextNode
def test_metadata_replacement() -> None:
node = TextNode(
text="This is a test 1.", metadata={"key": "This is a another test."}
)
nodes = [NodeWithScore(node=nod... | llama_index/llama-index-core/tests/postprocessor/test_metadata_replacement.py/0 | {
"file_path": "llama_index/llama-index-core/tests/postprocessor/test_metadata_replacement.py",
"repo_id": "llama_index",
"token_count": 190
} | 1,155 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | transformers/src/transformers/models/cpm/tokenization_cpm.py/0 | {
"file_path": "transformers/src/transformers/models/cpm/tokenization_cpm.py",
"repo_id": "transformers",
"token_count": 6643
} | 624 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/oft/model.py/0 | {
"file_path": "peft/src/peft/tuners/oft/model.py",
"repo_id": "peft",
"token_count": 1600
} | 350 |
import logging
import os
import re
import zipfile
from typing import Iterator, List, Union
from langchain_core.chat_sessions import ChatSession
from langchain_core.messages import AIMessage, HumanMessage
from langchain_community.chat_loaders.base import BaseChatLoader
logger = logging.getLogger(__name__)
class Wha... | langchain/libs/community/langchain_community/chat_loaders/whatsapp.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_loaders/whatsapp.py",
"repo_id": "langchain",
"token_count": 2107
} | 239 |
from langchain_together import __all__
EXPECTED_ALL = [
"__version__",
"Together",
"TogetherEmbeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/together/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/partners/together/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 80
} | 627 |
"""**Chat Models** are a variation on language models.
While Chat Models use language models under the hood, the interface they expose
is a bit different. Rather than expose a "text in, text out" API, they expose
an interface where "chat messages" are the inputs and outputs.
**Class hierarchy:**
.. code-block::
... | langchain/libs/langchain/langchain/chat_models/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/__init__.py",
"repo_id": "langchain",
"token_count": 764
} | 493 |
libdir=@CMAKE_INSTALL_FULL_LIBDIR@
includedir=@CMAKE_INSTALL_FULL_INCLUDEDIR@
Name: Milvus IndexBuilder
Description: IndexBuilder modules for Milvus
Version: @MILVUS_VERSION@
Libs: -L${libdir} -lmilvus_indexbuilder
Cflags: -I${includedir}
| milvus/internal/core/src/indexbuilder/milvus_indexbuilder.pc.in/0 | {
"file_path": "milvus/internal/core/src/indexbuilder/milvus_indexbuilder.pc.in",
"repo_id": "milvus",
"token_count": 99
} | 1,730 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/operations.py/0 | {
"file_path": "accelerate/src/accelerate/utils/operations.py",
"repo_id": "accelerate",
"token_count": 12679
} | 18 |
import logging
import os
import re
import warnings
from typing import List
from urllib.parse import urlparse
import requests
from bs4 import BeautifulSoup
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
DATA_KEY = "data"
ERRORS_KEY = "errors"
class WordLiftLoaderErr... | llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/llama_index/readers/wordlift/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/llama_index/readers/wordlift/base.py",
"repo_id": "llama_index",
"token_count": 4834
} | 1,399 |
<jupyter_start><jupyter_code>from transformers import AutoModelForSeq2SeqLM
from peft import get_peft_config, get_peft_model, get_peft_model_state_dict, PrefixTuningConfig, TaskType
import torch
from datasets import load_dataset
import os
os.environ["TOKENIZERS_PARALLELISM"] = "false"
os.environ["CUDA_VISIBLE_DEVICES"... | peft/examples/conditional_generation/peft_prefix_tuning_seq2seq.ipynb/0 | {
"file_path": "peft/examples/conditional_generation/peft_prefix_tuning_seq2seq.ipynb",
"repo_id": "peft",
"token_count": 2479
} | 325 |
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.utils import get_from_env
if TYPE_CHECKING:
from whylogs.api.logger.logger import Logger
diagnostic_logger = logging.getLogger(__name__)
... | langchain/libs/community/langchain_community/callbacks/whylabs_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/whylabs_callback.py",
"repo_id": "langchain",
"token_count": 3135
} | 218 |
import { test } from "@jest/globals";
import { CollegeConfidentialLoader } from "../web/college_confidential.js";
test("Test College confidential loader", async () => {
const loader = new CollegeConfidentialLoader(
"https://www.collegeconfidential.com/colleges/brown-university/"
);
await loader.load();
});
| langchainjs/langchain/src/document_loaders/tests/college_confidential.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/college_confidential.int.test.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 876 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/optimization/test_optimization_tf.py/0 | {
"file_path": "transformers/tests/optimization/test_optimization_tf.py",
"repo_id": "transformers",
"token_count": 1782
} | 828 |
"""Base classes for LLM-powered router chains."""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Type, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.exceptions import OutputParserException
from l... | langchain/libs/langchain/langchain/chains/router/llm_router.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/router/llm_router.py",
"repo_id": "langchain",
"token_count": 1815
} | 499 |
"""Test Yuan2.0 API wrapper."""
from langchain_core.outputs import LLMResult
from langchain_community.llms import Yuan2
def test_yuan2_call_method() -> None:
"""Test valid call to Yuan2.0."""
llm = Yuan2(
infer_api="http://127.0.0.1:8000/yuan",
max_tokens=1024,
temp=1.0,
top_p... | langchain/libs/community/tests/integration_tests/llms/test_yuan2.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_yuan2.py",
"repo_id": "langchain",
"token_count": 424
} | 343 |
<!--Copyright 2023 Mistral AI and The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicabl... | transformers/docs/source/en/model_doc/mistral.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mistral.md",
"repo_id": "transformers",
"token_count": 2111
} | 488 |
import pytest
from langchain_core.utils import check_package_version
def test_check_package_version_pass() -> None:
check_package_version("PyYAML", gte_version="5.4.1")
def test_check_package_version_fail() -> None:
with pytest.raises(ValueError):
check_package_version("PyYAML", lt_version="5.4.1")
| langchain/libs/langchain/tests/unit_tests/test_utils.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/test_utils.py",
"repo_id": "langchain",
"token_count": 120
} | 619 |
import pathlib
from langchain_community.chat_loaders import utils, whatsapp
def test_whatsapp_chat_loader() -> None:
chat_path = pathlib.Path(__file__).parent / "data" / "whatsapp_chat.txt"
loader = whatsapp.WhatsAppChatLoader(str(chat_path))
chat_sessions = list(
utils.map_ai_messages(loader.la... | langchain/libs/community/tests/unit_tests/chat_loaders/test_whatsapp.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_loaders/test_whatsapp.py",
"repo_id": "langchain",
"token_count": 251
} | 360 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | transformers/examples/research_projects/adversarial/run_hans.py/0 | {
"file_path": "transformers/examples/research_projects/adversarial/run_hans.py",
"repo_id": "transformers",
"token_count": 3302
} | 567 |
"""OpenAI agent worker."""
import asyncio
import json
import logging
import uuid
from threading import Thread
from typing import Any, Dict, List, Optional, Tuple, Union, cast, get_args
from llama_index.agent.openai.utils import resolve_tool_choice
from llama_index.core.agent.types import (
BaseAgentWorker,
Ta... | llama_index/llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/step.py/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/step.py",
"repo_id": "llama_index",
"token_count": 10417
} | 1,259 |
# Convert the original UniDiffuser checkpoints into diffusers equivalents.
import argparse
from argparse import Namespace
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
GPT2Tokenizer... | diffusers/scripts/convert_unidiffuser_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_unidiffuser_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 13871
} | 221 |
from langchain import llms
from langchain.llms.base import BaseLLM
EXPECT_ALL = [
"AI21",
"AlephAlpha",
"AmazonAPIGateway",
"Anthropic",
"Anyscale",
"Arcee",
"Aviary",
"AzureMLOnlineEndpoint",
"AzureOpenAI",
"Banana",
"Baseten",
"Beam",
"Bedrock",
"CTransformers"... | langchain/libs/langchain/tests/unit_tests/llms/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/llms/test_imports.py",
"repo_id": "langchain",
"token_count": 927
} | 602 |
<jupyter_start><jupyter_code>! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph<jupyter_output><empty_output><jupyter_text>Self-RAGSelf-reflection can enhance RAG, enabling correction of poor quality retrieval or generations.Several recent papers focus on this theme, b... | langgraph/examples/rag/langgraph_self_rag.ipynb/0 | {
"file_path": "langgraph/examples/rag/langgraph_self_rag.ipynb",
"repo_id": "langgraph",
"token_count": 6017
} | 1,116 |
# Hacker News
>[Hacker News](https://en.wikipedia.org/wiki/Hacker_News) (sometimes abbreviated as `HN`) is a social news
> website focusing on computer science and entrepreneurship. It is run by the investment fund and startup
> incubator `Y Combinator`. In general, content that can be submitted is defined as "anyth... | langchain/docs/docs/integrations/providers/hacker_news.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/hacker_news.mdx",
"repo_id": "langchain",
"token_count": 165
} | 149 |
""" Sin-cos, fourier, rotary position embedding modules and functions
Hacked together by / Copyright 2022 Ross Wightman
"""
import math
from typing import List, Tuple, Optional, Union
import torch
from torch import nn as nn
from .grid import ndgrid
from .trace_utils import _assert
def pixel_freq_bands(
num... | pytorch-image-models/timm/layers/pos_embed_sincos.py/0 | {
"file_path": "pytorch-image-models/timm/layers/pos_embed_sincos.py",
"repo_id": "pytorch-image-models",
"token_count": 7200
} | 378 |
import pytest
from tokenizers import BertWordPieceTokenizer
from ..utils import bert_files, data_dir, multiprocessing_with_parallelism
class TestBertWordPieceTokenizer:
def test_basic_encode(self, bert_files):
tokenizer = BertWordPieceTokenizer.from_file(bert_files["vocab"])
# Encode with speci... | tokenizers/bindings/python/tests/implementations/test_bert_wordpiece.py/0 | {
"file_path": "tokenizers/bindings/python/tests/implementations/test_bert_wordpiece.py",
"repo_id": "tokenizers",
"token_count": 919
} | 409 |
// @ts-nocheck
// Inlined because of ESM import issues
/*!
* https://github.com/Starcounter-Jack/JSON-Patch
* (c) 2013-2021 Joachim Wester
* MIT license
*/
declare var require: any;
import {
PatchError,
_deepClone,
isInteger,
unescapePathComponent,
hasUndefined,
} from "./helpers.js";
export const Jso... | langchainjs/langchain-core/src/utils/fast-json-patch/src/core.ts/0 | {
"file_path": "langchainjs/langchain-core/src/utils/fast-json-patch/src/core.ts",
"repo_id": "langchainjs",
"token_count": 8120
} | 886 |
<jupyter_start><jupyter_text>Integrations avec le *Hub* d'Hugging Face Installez les bibliothèques 🤗 Transformers et 🤗 Gradio pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install gradio
import gradio as gr
title = "GPT-J-6B (Boris)"
description = "Démo Gradio pour ... | notebooks/course/fr/chapter9/section5.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter9/section5.ipynb",
"repo_id": "notebooks",
"token_count": 653
} | 301 |
use regex::Regex;
use crate::tokenizer::{
pattern::Invert, PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior,
};
use crate::utils::macro_rules_attribute;
#[derive(Clone, Debug, PartialEq, Eq)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct Whitespace;
impl Default for Whitespace {
fn de... | tokenizers/tokenizers/src/pre_tokenizers/whitespace.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/whitespace.rs",
"repo_id": "tokenizers",
"token_count": 1660
} | 484 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/donut/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/donut/__init__.py",
"repo_id": "transformers",
"token_count": 902
} | 635 |
# coding=utf-8
# Copyright 2022 Google LongT5 Authors and HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | transformers/tests/models/longt5/test_modeling_longt5.py/0 | {
"file_path": "transformers/tests/models/longt5/test_modeling_longt5.py",
"repo_id": "transformers",
"token_count": 29813
} | 738 |
@import "highlight.js/styles/atom-one-dark";
| chat-ui/src/styles/highlight-js.css/0 | {
"file_path": "chat-ui/src/styles/highlight-js.css",
"repo_id": "chat-ui",
"token_count": 17
} | 106 |
python_sources()
| llama_index/benchmarks/vector_stores/BUILD/0 | {
"file_path": "llama_index/benchmarks/vector_stores/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,028 |
from langchain_community.graphs.neo4j_graph import value_sanitize
def test_value_sanitize_with_small_list(): # type: ignore[no-untyped-def]
small_list = list(range(15)) # list size > LIST_LIMIT
input_dict = {"key1": "value1", "small_list": small_list}
expected_output = {"key1": "value1", "small_list": s... | langchain/libs/community/tests/unit_tests/graphs/test_neo4j_graph.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/graphs/test_neo4j_graph.py",
"repo_id": "langchain",
"token_count": 564
} | 397 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/DeletedRecord.h/0 | {
"file_path": "milvus/internal/core/src/segcore/DeletedRecord.h",
"repo_id": "milvus",
"token_count": 1894
} | 1,745 |
python_sources()
| llama_index/llama-index-core/llama_index/core/agent/react/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,137 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.konko import Konko
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in Konko.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-konko/tests/test_llms_konko.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-konko/tests/test_llms_konko.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,261 |
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | datasets/src/datasets/formatting/__init__.py/0 | {
"file_path": "datasets/src/datasets/formatting/__init__.py",
"repo_id": "datasets",
"token_count": 1818
} | 141 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/event_manager.go/0 | {
"file_path": "milvus/internal/datanode/event_manager.go",
"repo_id": "milvus",
"token_count": 4936
} | 1,836 |
from threading import Lock
from chromadb.segment import (
SegmentImplementation,
SegmentManager,
MetadataReader,
SegmentType,
VectorReader,
S,
)
import logging
from chromadb.segment.impl.manager.cache.cache import SegmentLRUCache, BasicCache,SegmentCache
import os
from chromadb.config import Sy... | chroma/chromadb/segment/impl/manager/local.py/0 | {
"file_path": "chroma/chromadb/segment/impl/manager/local.py",
"repo_id": "chroma",
"token_count": 4079
} | 21 |
from llama_index.vector_stores.mongodb.base import MongoDBAtlasVectorSearch
__all__ = ["MongoDBAtlasVectorSearch"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,665 |
from langchain_community.retrievers.pinecone_hybrid_search import (
PineconeHybridSearchRetriever,
)
__all__ = ["PineconeHybridSearchRetriever"]
| langchain/libs/langchain/langchain/retrievers/pinecone_hybrid_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/pinecone_hybrid_search.py",
"repo_id": "langchain",
"token_count": 52
} | 541 |
import { LLMChain } from "langchain/chains";
import { AgentExecutor, ZeroShotAgent } from "langchain/agents";
import { ChatOpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import { Serialized } from "@langchain/core/load/serializable";
import { BaseCallbackHandler } from "@lan... | langchainjs/examples/src/agents/streaming.ts/0 | {
"file_path": "langchainjs/examples/src/agents/streaming.ts",
"repo_id": "langchainjs",
"token_count": 1676
} | 813 |
"""Test HuggingFace API wrapper."""
import unittest
from pathlib import Path
import pytest
from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
from langchain_community.llms.loading import load_llm
from tests.integration_tests.llms.utils import assert_llm_equality
@unittest.skip(
"This... | langchain/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py",
"repo_id": "langchain",
"token_count": 750
} | 341 |
/* eslint-disable no-process-env */
import { MongoClient, ObjectId } from "mongodb";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { MongoDBChatMessageHistory } from "../message/mongodb.js";
afterAll(async () => {
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion
co... | langchainjs/libs/langchain-community/src/stores/tests/mongodb.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/tests/mongodb.int.test.ts",
"repo_id": "langchainjs",
"token_count": 777
} | 1,037 |
"""Node parsers."""
from llama_index.core.node_parser.file.html import HTMLNodeParser
from llama_index.core.node_parser.file.json import JSONNodeParser
from llama_index.core.node_parser.file.markdown import MarkdownNodeParser
from llama_index.core.node_parser.file.simple_file import SimpleFileNodeParser
from llama_ind... | llama_index/llama-index-core/llama_index/core/node_parser/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/__init__.py",
"repo_id": "llama_index",
"token_count": 652
} | 1,230 |
"""Question answering over a graph."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs.kuzu_graph import KuzuGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain... | langchain/libs/langchain/langchain/chains/graph_qa/kuzu.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/kuzu.py",
"repo_id": "langchain",
"token_count": 1481
} | 459 |
# Git clone the spider evaluation repo if it doesn't exist.
if [ ! -d "spider-evaluation" ]; then
git clone https://github.com/taoyds/spider.git spider-evaluation
fi
BENCHMARK_DIR=$1
PREDICTIONS_DIR=$2
# Check if gold and pred SQL files have the same number of lines.
if [ $(wc -l < $BENCHMARK_DIR/train_gold.sql) -n... | llama_index/benchmarks/struct_indices/spider/evaluate.sh/0 | {
"file_path": "llama_index/benchmarks/struct_indices/spider/evaluate.sh",
"repo_id": "llama_index",
"token_count": 470
} | 1,108 |
Transform Retriever
=======================
.. automodule:: llama_index.core.retrievers.transform_retriever
:members:
:inherited-members:
.. :exclude-members: index_struct, query, set_llm_predictor, set_prompt_helper
| llama_index/docs/api_reference/query/retrievers/transform.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/retrievers/transform.rst",
"repo_id": "llama_index",
"token_count": 81
} | 1,035 |
# An introduction to Multi-Agents Reinforcement Learning (MARL)
## From single agent to multiple agents
In the first unit, we learned to train agents in a single-agent system. When our agent was alone in its environment: **it was not cooperating or collaborating with other agents**.
<figure>
<img src="https://huggin... | deep-rl-class/units/en/unit7/introduction-to-marl.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit7/introduction-to-marl.mdx",
"repo_id": "deep-rl-class",
"token_count": 982
} | 168 |
<jupyter_start><jupyter_text>Clarifai>[Clarifai](https://www.clarifai.com/) is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference. A Clarifai application can be used as a vector database after uploading inputs. This notebook shows h... | langchain/docs/docs/integrations/vectorstores/clarifai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/clarifai.ipynb",
"repo_id": "langchain",
"token_count": 2038
} | 179 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/layoutxlm/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/layoutxlm/__init__.py",
"repo_id": "transformers",
"token_count": 688
} | 657 |
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/esm/test_tokenization_esm.py/0 | {
"file_path": "transformers/tests/models/esm/test_tokenization_esm.py",
"repo_id": "transformers",
"token_count": 2117
} | 745 |
"""Labelled Evaluation Class."""
import asyncio
import time
from typing import List, Optional
from llama_index.core.bridge.pydantic import Field
from llama_index.core.evaluation import (
BaseEvaluator,
EvaluationResult,
)
from llama_index.core.evaluation.pairwise import EvaluationSource
from llama_index.core.... | llama_index/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py",
"repo_id": "llama_index",
"token_count": 6623
} | 1,159 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["JiraReader"]
contains_example = false
import_path = "llama_index.readers.jira"
[tool.myp... | llama_index/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml",
"repo_id": "llama_index",
"token_count": 661
} | 1,465 |
<jupyter_start><jupyter_text>Neptune SPARQL QA ChainThis notebook shows use of LLM to query RDF graph in Amazon Neptune. This code uses a `NeptuneRdfGraph` class that connects with the Neptune database and loads it's schema. The `NeptuneSparqlQAChain` is used to connect the graph and LLM to ask natural language questio... | langchain/docs/docs/use_cases/graph/neptune_sparql_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/neptune_sparql_qa.ipynb",
"repo_id": "langchain",
"token_count": 2044
} | 194 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,589 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/usage_guides/gradient_accumulation.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/gradient_accumulation.md",
"repo_id": "accelerate",
"token_count": 2733
} | 3 |
<jupyter_start><jupyter_text>Nuclia>[Nuclia](https://nuclia.com) automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing.`Nuclia Understandin... | langchain/docs/docs/integrations/document_transformers/nuclia_transformer.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_transformers/nuclia_transformer.ipynb",
"repo_id": "langchain",
"token_count": 675
} | 115 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/perceiver/image_processing_perceiver.py/0 | {
"file_path": "transformers/src/transformers/models/perceiver/image_processing_perceiver.py",
"repo_id": "transformers",
"token_count": 7364
} | 715 |
from __future__ import annotations
import typing
import uuid
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
import numpy as np
if typing.TYPE_CHECKING:
from cassandra.cluster import Session
from langchain_core.documents ... | langchain/libs/community/langchain_community/vectorstores/cassandra.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/cassandra.py",
"repo_id": "langchain",
"token_count": 7064
} | 307 |
import { ScrollArea, Table } from "@mantine/core";
import { Experiment } from "../utils/types";
const ExperimentSummaryTable = ({
experiments,
}: {
experiments: Experiment[];
}) => {
return (
<ScrollArea scrollbarSize={0}>
<Table withBorder withColumnBorders striped highlightOnHover>
<thead>
... | auto-evaluator/nextjs/components/ExperimentSummaryTable.tsx/0 | {
"file_path": "auto-evaluator/nextjs/components/ExperimentSummaryTable.tsx",
"repo_id": "auto-evaluator",
"token_count": 919
} | 2 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,584 |
<jupyter_start><jupyter_text>Evaluating Existing Runs[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/testing-examples/evaluate-existing-test-project/evaluate_runs.ipynb)This tutorial shows how to evaluate runs in an existing test project. This is useful when:- You have a new evalua... | langsmith-cookbook/testing-examples/evaluate-existing-test-project/evaluate_runs.ipynb/0 | {
"file_path": "langsmith-cookbook/testing-examples/evaluate-existing-test-project/evaluate_runs.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 2772
} | 1,063 |
from typing import Dict, Iterator, List, Optional, Union
from tokenizers import AddedToken, Tokenizer, decoders, trainers
from tokenizers.models import WordPiece
from tokenizers.normalizers import BertNormalizer
from tokenizers.pre_tokenizers import BertPreTokenizer
from tokenizers.processors import BertProcessing
fr... | tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py",
"repo_id": "tokenizers",
"token_count": 2637
} | 441 |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | transformers/src/transformers/models/openai/configuration_openai.py/0 | {
"file_path": "transformers/src/transformers/models/openai/configuration_openai.py",
"repo_id": "transformers",
"token_count": 2789
} | 672 |
# OpenAI
The `OpenAIEmbeddings` class uses the OpenAI API to generate embeddings for a given text. By default it strips new line characters from the text, as recommended by OpenAI, but you can disable this by passing `stripNewLines: false` to the constructor.
import IntegrationInstallTooltip from "@mdx_components/int... | langchainjs/docs/core_docs/docs/integrations/text_embedding/openai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/text_embedding/openai.mdx",
"repo_id": "langchainjs",
"token_count": 680
} | 713 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/roundrobin_balancer.go/0 | {
"file_path": "milvus/internal/proxy/roundrobin_balancer.go",
"repo_id": "milvus",
"token_count": 731
} | 1,885 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/using_safetensors.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/using_safetensors.md",
"repo_id": "diffusers",
"token_count": 1535
} | 193 |
""" Swin Transformer
A PyTorch impl of : `Swin Transformer: Hierarchical Vision Transformer using Shifted Windows`
- https://arxiv.org/pdf/2103.14030
Code/weights from https://github.com/microsoft/Swin-Transformer, original copyright/license info below
S3 (AutoFormerV2, https://arxiv.org/abs/2111.14725) Swin weig... | pytorch-image-models/timm/models/swin_transformer.py/0 | {
"file_path": "pytorch-image-models/timm/models/swin_transformer.py",
"repo_id": "pytorch-image-models",
"token_count": 16908
} | 358 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/eventlog/handler_test.go/0 | {
"file_path": "milvus/pkg/eventlog/handler_test.go",
"repo_id": "milvus",
"token_count": 596
} | 1,883 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/perf_train_tpu_tf.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_tpu_tf.md",
"repo_id": "transformers",
"token_count": 3706
} | 510 |
"""Summary index.
A simple data structure where LlamaIndex iterates through document chunks
in sequence in order to answer a given query.
"""
from enum import Enum
from typing import Any, Dict, Optional, Sequence, Union
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.base.embedd... | llama_index/llama-index-core/llama_index/core/indices/list/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/list/base.py",
"repo_id": "llama_index",
"token_count": 2301
} | 1,128 |
import assert from "assert";
import { OpenAI } from "langchain/llms/openai";
import { LLMChain } from "langchain/chains";
import { ChatPromptTemplate } from "langchain/prompts";
import { loadPrompt } from "langchain/prompts/load";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddi... | langchainjs/environment_tests/test-exports-bun/src/index.js/0 | {
"file_path": "langchainjs/environment_tests/test-exports-bun/src/index.js",
"repo_id": "langchainjs",
"token_count": 466
} | 781 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/package_reference/accelerator.md/0 | {
"file_path": "accelerate/docs/source/package_reference/accelerator.md",
"repo_id": "accelerate",
"token_count": 2148
} | 4 |
import { Embeddings } from "@langchain/core/embeddings";
import {
type OpenAIClientOptions as AzureOpenAIClientOptions,
OpenAIClient as AzureOpenAIClient,
AzureKeyCredential,
OpenAIKeyCredential,
} from "@azure/openai";
import {
KeyCredential,
TokenCredential,
isTokenCredential,
} from "@azure/core-auth";... | langchainjs/libs/langchain-azure-openai/src/embeddings.ts/0 | {
"file_path": "langchainjs/libs/langchain-azure-openai/src/embeddings.ts",
"repo_id": "langchainjs",
"token_count": 1736
} | 943 |
<jupyter_start><jupyter_text>Custom agent with tool retrievalThe novel idea introduced in this notebook is the idea of using retrieval to select the set of tools to use to answer an agent query. This is useful when you have many many tools to select from. You cannot put the description of all the tools in the prompt (b... | langchain/cookbook/custom_agent_with_tool_retrieval.ipynb/0 | {
"file_path": "langchain/cookbook/custom_agent_with_tool_retrieval.ipynb",
"repo_id": "langchain",
"token_count": 2692
} | 76 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker.py",
"repo_id": "diffusers",
"token_count": 2300
} | 267 |
import chromadb
from contextvars import ContextVar
from functools import wraps
import logging
from typing import Callable, Optional, Dict, List, Union, cast, Any
from overrides import override
from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
from starlette.requests import Request
from s... | chroma/chromadb/auth/fastapi.py/0 | {
"file_path": "chroma/chromadb/auth/fastapi.py",
"repo_id": "chroma",
"token_count": 5711
} | 13 |
# Marqo
This page covers how to use the Marqo ecosystem within LangChain.
### **What is Marqo?**
Marqo is a tensor search engine that uses embeddings stored in in-memory HNSW indexes to achieve cutting edge search speeds. Marqo can scale to hundred-million document indexes with horizontal index sharding and allows f... | langchain/docs/docs/integrations/providers/marqo.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/marqo.md",
"repo_id": "langchain",
"token_count": 532
} | 140 |
<jupyter_start><jupyter_text>Qdrant>[Qdrant](https://qdrant.tech/documentation/) (read: quadrant) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. `Qdrant` is tailored to extended filtering suppor... | langchain/docs/docs/integrations/retrievers/self_query/qdrant_self_query.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/self_query/qdrant_self_query.ipynb",
"repo_id": "langchain",
"token_count": 1811
} | 170 |
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