text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>Model comparisonConstructing your language model application will likely involved choosing between many different options of prompts, models, and even chains to use. When doing so, you will want to compare these different options on different inputs in an easy, flexible, and intuitive way. ... | langchain/docs/docs/guides/model_laboratory.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/model_laboratory.ipynb",
"repo_id": "langchain",
"token_count": 1147
} | 95 |
<!---
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 o... | diffusers/README.md/0 | {
"file_path": "diffusers/README.md",
"repo_id": "diffusers",
"token_count": 5394
} | 173 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/unets/test_unet_blocks_common.py/0 | {
"file_path": "diffusers/tests/models/unets/test_unet_blocks_common.py",
"repo_id": "diffusers",
"token_count": 1805
} | 266 |
from langchain_community.callbacks.infino_callback import (
InfinoCallbackHandler,
)
__all__ = [
"InfinoCallbackHandler",
]
| langchain/libs/langchain/langchain/callbacks/infino_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/infino_callback.py",
"repo_id": "langchain",
"token_count": 46
} | 473 |
import {
BaseRetriever,
type BaseRetrieverInput,
} from "@langchain/core/retrievers";
import { Document } from "@langchain/core/documents";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import type { DriaParams, SearchOptions as DriaSearchOptions } from "dria";
import { Dria } from "dria";
/*... | langchainjs/libs/langchain-community/src/retrievers/dria.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/dria.ts",
"repo_id": "langchainjs",
"token_count": 1247
} | 951 |
"""Test jina embeddings."""
from langchain_community.embeddings.jina import JinaEmbeddings
def test_jina_embedding_documents() -> None:
"""Test jina embeddings for documents."""
documents = ["foo bar", "bar foo"]
embedding = JinaEmbeddings()
output = embedding.embed_documents(documents)
assert len... | langchain/libs/community/tests/integration_tests/embeddings/test_jina.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_jina.py",
"repo_id": "langchain",
"token_count": 209
} | 335 |
"""Relevancy evaluation."""
from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
from llama_index.core import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.indices import SummaryIndex... | llama_index/llama-index-core/llama_index/core/evaluation/context_relevancy.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/context_relevancy.py",
"repo_id": "llama_index",
"token_count": 2637
} | 1,170 |
python_sources()
resource(
name="py_typed",
source="py.typed",
)
| llama_index/llama-index-core/llama_index/core/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/BUILD",
"repo_id": "llama_index",
"token_count": 34
} | 1,135 |
[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 = ["AstraDBReader"]
contains_example = false
import_path = "llama_index.readers.astra_db"
[t... | llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml",
"repo_id": "llama_index",
"token_count": 663
} | 1,324 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/llama_index/readers/dad_jokes/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/llama_index/readers/dad_jokes/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,478 |
#!/usr/bin/env python3
""" ImageNet Training Script
This is intended to be a lean and easily modifiable ImageNet training script that reproduces ImageNet
training results with some of the latest networks and training techniques. It favours canonical PyTorch
and standard Python style over trying to be able to 'do it al... | pytorch-image-models/train.py/0 | {
"file_path": "pytorch-image-models/train.py",
"repo_id": "pytorch-image-models",
"token_count": 24460
} | 366 |
// 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/metacache/segment.go/0 | {
"file_path": "milvus/internal/datanode/metacache/segment.go",
"repo_id": "milvus",
"token_count": 1437
} | 1,923 |
[virtualenvs]
in-project = true
[installer]
modern-installation = false
| langgraph/poetry.toml/0 | {
"file_path": "langgraph/poetry.toml",
"repo_id": "langgraph",
"token_count": 25
} | 1,121 |
from typing import List
from llama_index.legacy.postprocessor.node import LongContextReorder
from llama_index.legacy.schema import Node, NodeWithScore
def test_long_context_reorder() -> None:
nodes = [
NodeWithScore(node=Node(text="text"), score=0.7),
NodeWithScore(node=Node(text="text"), score=0... | llama_index/llama-index-legacy/tests/postprocessor/test_longcontext_reorder.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/postprocessor/test_longcontext_reorder.py",
"repo_id": "llama_index",
"token_count": 508
} | 1,542 |
---
sidebar_class_name: node-only
---
import CodeBlock from "@theme/CodeBlock";
# Google Vertex AI Matching Engine
:::tip Compatibility
Only available on Node.js.
:::
The Google Vertex AI Matching Engine "provides the industry's leading high-scale
low latency vector database. These vector databases are commonly ref... | langchainjs/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx",
"repo_id": "langchainjs",
"token_count": 1580
} | 742 |
# @cfworker/json-schema
![](https://badgen... | langchainjs/langchain-core/src/utils/@cfworker/json-schema/README.md/0 | {
"file_path": "langchainjs/langchain-core/src/utils/@cfworker/json-schema/README.md",
"repo_id": "langchainjs",
"token_count": 818
} | 935 |
"""SQL agent."""
| langchain/libs/community/langchain_community/agent_toolkits/sql/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/sql/__init__.py",
"repo_id": "langchain",
"token_count": 6
} | 233 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-triton/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-triton/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,409 |
# 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/speech_to_text/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/speech_to_text/__init__.py",
"repo_id": "transformers",
"token_count": 1361
} | 679 |
import { test, expect } from "@jest/globals";
import { _verifyObjectIsLangChainConfig } from "../utils.js";
test("_verifyObjectIsLangChainConfig successfully fails an invalid object", async () => {
const { config } = await import("./langchain.invalid.config.js");
const isValid = _verifyObjectIsLangChainConfig(conf... | langchainjs/libs/langchain-scripts/src/tests/config_file.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-scripts/src/tests/config_file.test.ts",
"repo_id": "langchainjs",
"token_count": 189
} | 986 |
<jupyter_start><jupyter_text>Fine-tune BLIP using Hugging Face `transformers`, `datasets`, `peft` 🤗 and `bitsandbytes`Let's leverage recent advances from Parameter Efficient Fine-Tuning methods to fine-tune a large image to text model! We will show through this tutorial that it is possible to fine-tune a 3B scale mode... | notebooks/peft/Fine_tune_BLIP2_on_an_image_captioning_dataset_PEFT.ipynb/0 | {
"file_path": "notebooks/peft/Fine_tune_BLIP2_on_an_image_captioning_dataset_PEFT.ipynb",
"repo_id": "notebooks",
"token_count": 4011
} | 306 |
<jupyter_start><jupyter_text>Prediction Guard<jupyter_code>%pip install --upgrade --quiet predictionguard langchain
import os
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain_community.llms import PredictionGuard<jupyter_output><empty_output><jupyter_text>Basic LLM usa... | langchain/docs/docs/integrations/llms/predictionguard.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/predictionguard.ipynb",
"repo_id": "langchain",
"token_count": 858
} | 121 |
from rag_chroma_multi_modal_multi_vector.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-chroma-multi-modal-multi-vector/rag_chroma_multi_modal_multi_vector/__init__.py/0 | {
"file_path": "langchain/templates/rag-chroma-multi-modal-multi-vector/rag_chroma_multi_modal_multi_vector/__init__.py",
"repo_id": "langchain",
"token_count": 28
} | 726 |
<!--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/api/pipelines/text_to_video_zero.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/text_to_video_zero.md",
"repo_id": "diffusers",
"token_count": 4486
} | 182 |
# LlamaIndex Vector_Stores Integration: Pinecone
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,531 |
from __future__ import annotations
from typing import (
Dict,
List,
Type,
Union,
)
import google.ai.generativelanguage as glm
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.tools import BaseTool
from langchain_core.utils.json_schema import dereference_refs
FunctionCallType = Uni... | langchain/libs/partners/google-genai/langchain_google_genai/_function_utils.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/_function_utils.py",
"repo_id": "langchain",
"token_count": 1831
} | 644 |
from collections import OrderedDict
from typing import Any, Dict, Optional, Type, cast
import pytest
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.response_synthesizers import Refine
from llama_index.legacy.response_synthesizer... | llama_index/llama-index-legacy/tests/response_synthesizers/test_refine.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/response_synthesizers/test_refine.py",
"repo_id": "llama_index",
"token_count": 1878
} | 1,757 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/paint_by_example/test_paint_by_example.py/0 | {
"file_path": "diffusers/tests/pipelines/paint_by_example/test_paint_by_example.py",
"repo_id": "diffusers",
"token_count": 3654
} | 282 |
"""Retrievers for SummaryIndex."""
import logging
from typing import Any, Callable, List, Optional, Tuple
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.indices.list.base import SummaryIndex
from llama_index.legacy... | llama_index/llama-index-legacy/llama_index/legacy/indices/list/retrievers.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/list/retrievers.py",
"repo_id": "llama_index",
"token_count": 3505
} | 1,573 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/ddpm/test_ddpm.py/0 | {
"file_path": "diffusers/tests/pipelines/ddpm/test_ddpm.py",
"repo_id": "diffusers",
"token_count": 1776
} | 278 |
# coding=utf-8
# Copyright 2023 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... | transformers/src/transformers/models/owlv2/convert_owlv2_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/owlv2/convert_owlv2_to_hf.py",
"repo_id": "transformers",
"token_count": 9921
} | 711 |
from typing import Any, Dict, Optional
from llama_index.core.base.llms.types import LLMMetadata
from llama_index.core.bridge.pydantic import Field
from llama_index.core.constants import (
DEFAULT_NUM_OUTPUTS,
DEFAULT_TEMPERATURE,
)
from llama_index.core.llms.generic_utils import get_from_param_or_env
from llam... | llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py",
"repo_id": "llama_index",
"token_count": 937
} | 1,305 |
import { sum } from "./sum";
export function concatUint8Arrays(arrays: Uint8Array[]): Uint8Array {
const totalLength = sum(arrays.map((a) => a.length));
const result = new Uint8Array(totalLength);
let offset = 0;
for (const array of arrays) {
result.set(array, offset);
offset += array.length;
}
return result... | chat-ui/src/lib/utils/concatUint8Arrays.ts/0 | {
"file_path": "chat-ui/src/lib/utils/concatUint8Arrays.ts",
"repo_id": "chat-ui",
"token_count": 117
} | 107 |
<!--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/quicktour.md/0 | {
"file_path": "accelerate/docs/source/quicktour.md",
"repo_id": "accelerate",
"token_count": 5632
} | 2 |
<!--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... | transformers/docs/source/en/model_doc/nat.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nat.md",
"repo_id": "transformers",
"token_count": 1229
} | 481 |
"""Slack reader."""
import logging
import os
import time
from datetime import datetime
from ssl import SSLContext
from typing import Any, List, Optional
from llama_index.core.bridge.pydantic import PrivateAttr
from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
lo... | llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/base.py",
"repo_id": "llama_index",
"token_count": 4175
} | 1,376 |
# Required Environment Variables: OPENAI_API_KEY
from llama_index.core.llama_pack import download_llama_pack
from llama_index.core import SimpleDirectoryReader
# download and install dependencies
HybridFusionRetrieverPack = download_llama_pack(
"HybridFusionRetrieverPack", "./hybrid_fusion_pack"
)
# load documen... | llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/example.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/example.py",
"repo_id": "llama_index",
"token_count": 201
} | 1,843 |
"""Apify dataset reader."""
from typing import Callable, Dict, List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class ApifyDataset(BaseReader):
"""Apify Dataset reader.
Reads a dataset on the Apify platform.
Args:
apify_api_token (str): Apify... | llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/base.py",
"repo_id": "llama_index",
"token_count": 557
} | 1,461 |
export { parsePartialJson } from "@langchain/core/output_parsers";
| langchainjs/langchain/src/output_parsers/json.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/json.ts",
"repo_id": "langchainjs",
"token_count": 22
} | 975 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/retrievers/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/retrievers/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,168 |
const adjectives: string[] = [
"abandoned",
"aching",
"advanced",
"ample",
"artistic",
"back",
"best",
"bold",
"brief",
"clear",
"cold",
"complicated",
"cooked",
"crazy",
"crushing",
"damp",
"dear",
"definite",
"dependable",
"diligent",
"drab",
"earnest",
"elderly",
"ench... | langchainjs/langchain/src/smith/name_generation.ts/0 | {
"file_path": "langchainjs/langchain/src/smith/name_generation.ts",
"repo_id": "langchainjs",
"token_count": 4011
} | 1,016 |
// 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/syncmgr/task_test.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/task_test.go",
"repo_id": "milvus",
"token_count": 5995
} | 1,703 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/llama_index/readers/feedly_rss/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/llama_index/readers/feedly_rss/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,289 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/llama_index/readers/microsoft_outlook/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/llama_index/readers/microsoft_outlook/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,407 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.ollama import OllamaEmbedding
def test_embedding_class():
emb = OllamaEmbedding(model_name="")
assert isinstance(emb, BaseEmbedding)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-ollama/tests/test_embeddings_ollama.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-ollama/tests/test_embeddings_ollama.py",
"repo_id": "llama_index",
"token_count": 84
} | 1,283 |
# coding=utf-8
# Copyright 2020, The RAG 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/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/rag/retrieval_rag.py/0 | {
"file_path": "transformers/src/transformers/models/rag/retrieval_rag.py",
"repo_id": "transformers",
"token_count": 12868
} | 672 |
from langchain_community.vectorstores.elasticsearch import (
ApproxRetrievalStrategy,
BaseRetrievalStrategy,
ElasticsearchStore,
ExactRetrievalStrategy,
SparseRetrievalStrategy,
)
__all__ = [
"BaseRetrievalStrategy",
"ApproxRetrievalStrategy",
"ExactRetrievalStrategy",
"SparseRetrie... | langchain/libs/langchain/langchain/vectorstores/elasticsearch.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/elasticsearch.py",
"repo_id": "langchain",
"token_count": 142
} | 627 |
# coding=utf-8
# Copyright 2020 T5 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 copy of the License at
#
# ... | transformers/src/transformers/models/t5/modeling_tf_t5.py/0 | {
"file_path": "transformers/src/transformers/models/t5/modeling_tf_t5.py",
"repo_id": "transformers",
"token_count": 33722
} | 665 |
<jupyter_start><jupyter_text>PerplexityBefore we get started, make sure you install llama_index<jupyter_code>%pip install llama-index-llms-perplexity
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Setup LLMAs of Nov 14, 2023 - the following models are supported with the Perplexity LLM class in LLaM... | llama_index/docs/examples/llm/perplexity.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/perplexity.ipynb",
"repo_id": "llama_index",
"token_count": 1192
} | 1,069 |
<!--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 to... | diffusers/docs/source/en/api/pipelines/kandinsky3.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/kandinsky3.md",
"repo_id": "diffusers",
"token_count": 766
} | 179 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/llms/llama-index-llms-vertex/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-vertex/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,305 |
use std::str::FromStr;
pub fn get_num_threads() -> usize {
// Respond to the same environment variable as rayon.
match std::env::var("RAYON_NUM_THREADS")
.ok()
.and_then(|s| usize::from_str(&s).ok())
{
Some(x) if x > 0 => x,
Some(_) | None => num_cpus::get(),
}
}
pub fn... | candle/candle-core/src/utils.rs/0 | {
"file_path": "candle/candle-core/src/utils.rs",
"repo_id": "candle",
"token_count": 389
} | 39 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.openrouter import OpenRouter
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in OpenRouter.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-openrouter/tests/test_llms_openrouter.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openrouter/tests/test_llms_openrouter.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,236 |
import re
from langchain.prompts import PromptTemplate
def clean_pdf_text(text: str) -> str:
"""Cleans text extracted from a PDF file."""
# TODO: Remove References/Bibliography section.
return remove_citations(text)
def remove_citations(text: str) -> str:
"""Removes in-text citations from a string.""... | auto-evaluator/api/text_utils.py/0 | {
"file_path": "auto-evaluator/api/text_utils.py",
"repo_id": "auto-evaluator",
"token_count": 2022
} | 0 |
from langchain_community.document_loaders.tencent_cos_file import TencentCOSFileLoader
__all__ = ["TencentCOSFileLoader"]
| langchain/libs/langchain/langchain/document_loaders/tencent_cos_file.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/tencent_cos_file.py",
"repo_id": "langchain",
"token_count": 39
} | 491 |
from typing import Any, List, Optional
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks import CallbackManager
from llama_index.core.utils import infer_torch_device
from... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py",
"repo_id": "llama_index",
"token_count": 2492
} | 1,363 |
import { ConfluencePagesLoader } from "langchain/document_loaders/web/confluence";
const username = process.env.CONFLUENCE_USERNAME;
const accessToken = process.env.CONFLUENCE_ACCESS_TOKEN;
const personalAccessToken = process.env.CONFLUENCE_PAT;
if (username && accessToken) {
const loader = new ConfluencePagesLoade... | langchainjs/examples/src/document_loaders/confluence.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/confluence.ts",
"repo_id": "langchainjs",
"token_count": 326
} | 794 |
# 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/tests/pipelines/test_pipelines_object_detection.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_object_detection.py",
"repo_id": "transformers",
"token_count": 6048
} | 799 |
from langchain_experimental.openai_assistant.base import OpenAIAssistantRunnable
__all__ = ["OpenAIAssistantRunnable"]
| langchain/libs/experimental/langchain_experimental/openai_assistant/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/openai_assistant/__init__.py",
"repo_id": "langchain",
"token_count": 40
} | 423 |
"""**OutputParser** classes parse the output of an LLM call.
**Class hierarchy:**
.. code-block::
BaseLLMOutputParser --> BaseOutputParser --> <name>OutputParser # ListOutputParser, PydanticOutputParser
**Main helpers:**
.. code-block::
Serializable, Generation, PromptValue
""" # noqa: E501
from langcha... | langchain/libs/langchain/langchain/output_parsers/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/__init__.py",
"repo_id": "langchain",
"token_count": 724
} | 523 |
from typing import Any, Dict, List, Optional
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.schema import NodeWithScore, QueryBundle
from llama_index... | llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/retriever.py",
"repo_id": "llama_index",
"token_count": 865
} | 1,562 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/image_generation/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openai/llama_index/tools/openai/image_generation/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,449 |
---
sidebar-position: 1
---
# Graph querying
Graph databases give us a powerful way to represent and query real-world relationships. There are a number of chains that make it easy to use LLMs to interact with various graph DBs.
import DocCardList from "@theme/DocCardList";
<DocCardList /> | langchain/docs/docs/use_cases/graph/index.mdx/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/index.mdx",
"repo_id": "langchain",
"token_count": 77
} | 203 |
## 6. Proxy
As the user access layer of Milvus, Proxy mainly plays a role that does some checks and preprocessing for requests from
clients and then forwards these requests to other components, such as Root Coordinator, Data Coordinator, Query
Coordinator, Index Coordinator. The below figure shows how Proxy interacts ... | milvus/docs/design_docs/20220105-proxy.md/0 | {
"file_path": "milvus/docs/design_docs/20220105-proxy.md",
"repo_id": "milvus",
"token_count": 6976
} | 1,734 |
python_tests()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,590 |
<!---
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 applicable law or ... | transformers/templates/adding_a_new_model/README.md/0 | {
"file_path": "transformers/templates/adding_a_new_model/README.md",
"repo_id": "transformers",
"token_count": 2800
} | 774 |
[
{
"server": "apollo",
"suite_params": [
{
"suite": "011_insert_performance.yaml",
"image_type": "cpu"
},
{
"suite": "011_delete_performance.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/011_delete.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/011_delete.json",
"repo_id": "milvus",
"token_count": 210
} | 1,938 |
{
"name": "dependency-range-tests",
"version": "0.0.0",
"private": true,
"description": "Tests dependency ranges for LangChain.",
"dependencies": {
"semver": "^7.5.4"
}
} | langchainjs/dependency_range_tests/scripts/node/package.json/0 | {
"file_path": "langchainjs/dependency_range_tests/scripts/node/package.json",
"repo_id": "langchainjs",
"token_count": 75
} | 710 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
/* eslint-disable import/no-duplicates */
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
import { ChatOpenAI } from "@langchain/openai";
const tools = [
new TavilySearchResults({
maxResults: 1,
}),
];
con... | langchainjs/examples/src/use_cases/chatbots/tool_usage.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/chatbots/tool_usage.ts",
"repo_id": "langchainjs",
"token_count": 995
} | 852 |
<jupyter_start><jupyter_text>JinaLet's load the Jina Embedding class.<jupyter_code>from langchain_community.embeddings import JinaEmbeddings
embeddings = JinaEmbeddings(
jina_api_key="jina_*", model_name="jina-embeddings-v2-base-en"
)
text = "This is a test document."
query_result = embeddings.embed_query(text)
pri... | langchain/docs/docs/integrations/text_embedding/jina.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/jina.ipynb",
"repo_id": "langchain",
"token_count": 164
} | 174 |
<jupyter_start><jupyter_text>[WIP] Hyperparameter Optimization for RAGIn this guide we show you how to do hyperparameter optimization for RAG.We use our new, experimental `ParamTuner` class which allows hyperparameter grid search over a RAG function. It comes in two variants:- `ParamTuner`: a naive way for parameter tu... | llama_index/docs/examples/param_optimizer/param_optimizer.ipynb/0 | {
"file_path": "llama_index/docs/examples/param_optimizer/param_optimizer.ipynb",
"repo_id": "llama_index",
"token_count": 3487
} | 1,137 |
<jupyter_start><jupyter_text>Redis>[Redis](https://redis.com) is an open-source key-value store that can be used as a cache, message broker, database, vector database and more.In the notebook, we'll demo the `SelfQueryRetriever` wrapped around a `Redis` vector store. Creating a Redis vector storeFirst we'll want to c... | langchain/docs/docs/integrations/retrievers/self_query/redis_self_query.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/self_query/redis_self_query.ipynb",
"repo_id": "langchain",
"token_count": 2313
} | 168 |
# Runhouse
This page covers how to use the [Runhouse](https://github.com/run-house/runhouse) ecosystem within LangChain.
It is broken into three parts: installation and setup, LLMs, and Embeddings.
## Installation and Setup
- Install the Python SDK with `pip install runhouse`
- If you'd like to use on-demand cluster,... | langchain/docs/docs/integrations/providers/runhouse.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/runhouse.mdx",
"repo_id": "langchain",
"token_count": 359
} | 148 |
#ifndef named_type_impl_h
#define named_type_impl_h
#include <tuple>
#include <type_traits>
#include <utility>
// C++17 detection
#if defined(_MSC_VER) && (defined(_HAS_CXX17) && _HAS_CXX17)
# define FLUENT_CPP17_PRESENT 1
#elif __cplusplus >= 201703L
# define FLUENT_CPP17_PRESENT 1
#else
# define FLUENT_CPP... | milvus/internal/core/thirdparty/NamedType/named_type_impl.hpp/0 | {
"file_path": "milvus/internal/core/thirdparty/NamedType/named_type_impl.hpp",
"repo_id": "milvus",
"token_count": 1667
} | 1,947 |
import * as fs from "fs";
import * as path from "path";
// .gitignore
const DEFAULT_GITIGNORE_PATHS = ["node_modules", "dist", ".yarn"];
// This lists all the entrypoints for the library. Each key corresponds to an
// importable path, eg. `import { AgentExecutor } from "langchain/agents"`.
// The value is the path to... | langchainjs/libs/langchain-scripts/scripts/create-entrypoints.js/0 | {
"file_path": "langchainjs/libs/langchain-scripts/scripts/create-entrypoints.js",
"repo_id": "langchainjs",
"token_count": 1126
} | 1,012 |
<jupyter_start><jupyter_text>Multi-modal RAGMany documents contain a mixture of content types, including text and images. Yet, information captured in images is lost in most RAG applications.With the emergence of multimodal LLMs, like [GPT-4V](https://openai.com/research/gpt-4v-system-card), it is worth considering how... | langchain/cookbook/Multi_modal_RAG.ipynb/0 | {
"file_path": "langchain/cookbook/Multi_modal_RAG.ipynb",
"repo_id": "langchain",
"token_count": 6365
} | 68 |
python_sources()
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/llama_index/indices/managed/colbert/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/llama_index/indices/managed/colbert/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,381 |
"""Init params."""
| llama_index/llama-index-core/tests/output_parsers/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/output_parsers/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,226 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class StableDiffusionKDiffusionPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "k_diffusion"]
def __init__(self, *args, **kwargs):
requires_backends(se... | diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_k_diffusion_objects.py",
"repo_id": "diffusers",
"token_count": 451
} | 262 |
# 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 law or ag... | milvus/tests/docker/Dockerfile/0 | {
"file_path": "milvus/tests/docker/Dockerfile",
"repo_id": "milvus",
"token_count": 278
} | 1,979 |
import os
import re
from functools import partial
from glob import has_magic
from pathlib import Path, PurePath
from typing import Callable, Dict, List, Optional, Set, Tuple, Union
import huggingface_hub
from fsspec import get_fs_token_paths
from fsspec.implementations.http import HTTPFileSystem
from huggingface_hub i... | datasets/src/datasets/data_files.py/0 | {
"file_path": "datasets/src/datasets/data_files.py",
"repo_id": "datasets",
"token_count": 13354
} | 140 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-corrective-rag/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-corrective-rag/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,647 |
from __future__ import annotations
import logging
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
logger = logging.getLogger(__name__)
class EdenAiExplicitImageTool(EdenaiTool):
"""Tool that qu... | langchain/libs/community/langchain_community/tools/edenai/image_explicitcontent.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/edenai/image_explicitcontent.py",
"repo_id": "langchain",
"token_count": 858
} | 282 |
# This module contains utility classes and functions for interacting with Arcee API.
# For more information and updates, refer to the Arcee utils page:
# [https://github.com/arcee-ai/arcee-python/blob/main/arcee/dalm.py]
from enum import Enum
from typing import Any, Dict, List, Literal, Mapping, Optional, Union
impor... | langchain/libs/community/langchain_community/utilities/arcee.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/arcee.py",
"repo_id": "langchain",
"token_count": 3876
} | 298 |
<jupyter_start><jupyter_text>Multiple Memory classesWe can use multiple memory classes in the same chain. To combine multiple memory classes, we initialize and use the `CombinedMemory` class.<jupyter_code>from langchain.chains import ConversationChain
from langchain.memory import (
CombinedMemory,
ConversationB... | langchain/docs/docs/modules/memory/multiple_memory.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/memory/multiple_memory.ipynb",
"repo_id": "langchain",
"token_count": 569
} | 189 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_img2img.py",
"repo_id": "diffusers",
"token_count": 4267
} | 273 |
<jupyter_start><jupyter_text>Recursive Retriever + Document AgentsThis guide shows how to combine recursive retrieval and "document agents" for advanced decision making over heterogeneous documents.There are two motivating factors that lead to solutions for better retrieval:- Decoupling retrieval embeddings from chunk-... | llama_index/docs/examples/query_engine/recursive_retriever_agents.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/recursive_retriever_agents.ipynb",
"repo_id": "llama_index",
"token_count": 2189
} | 1,083 |
<jupyter_start><jupyter_text>IMSDb>[IMSDb](https://imsdb.com/) is the `Internet Movie Script Database`.This covers how to load `IMSDb` webpages into a document format that we can use downstream.<jupyter_code>from langchain_community.document_loaders import IMSDbLoader
loader = IMSDbLoader("https://imsdb.com/scripts/Bla... | langchain/docs/docs/integrations/document_loaders/imsdb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/imsdb.ipynb",
"repo_id": "langchain",
"token_count": 147
} | 113 |
import json
import urllib.request
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class LarkSuiteDocLoader(BaseLoader):
"""Load from `LarkSuite` (`FeiShu`)."""
def __init__(self, domain: str, access_token:... | langchain/libs/community/langchain_community/document_loaders/larksuite.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/larksuite.py",
"repo_id": "langchain",
"token_count": 870
} | 250 |
import argparse
import os
from typing import List
import google.generativeai as genai
import chromadb
from chromadb.utils import embedding_functions
model = genai.GenerativeModel("gemini-pro")
def build_prompt(query: str, context: List[str]) -> str:
"""
Builds a prompt for the LLM. #
This function buil... | chroma/examples/gemini/main.py/0 | {
"file_path": "chroma/examples/gemini/main.py",
"repo_id": "chroma",
"token_count": 1673
} | 39 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-llava-completion/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llava-completion/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,709 |
---
sidebar_position: 1
---
# Memory management
A key feature of chatbots is their ability to use content of previous conversation turns as context. This state management can take several forms, including:
- Simply stuffing previous messages into a chat model prompt.
- The above, but trimming old messages to reduce ... | langchainjs/docs/core_docs/docs/use_cases/chatbots/memory_management.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/chatbots/memory_management.mdx",
"repo_id": "langchainjs",
"token_count": 4336
} | 767 |
<!--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... | transformers/docs/source/en/model_doc/time_series_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/time_series_transformer.md",
"repo_id": "transformers",
"token_count": 1371
} | 489 |
"""HTML node parser."""
from typing import TYPE_CHECKING, Any, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.node_parser.interface import NodeParser
from llama_index.core.node_parser.node_utils import build_... | llama_index/llama-index-core/llama_index/core/node_parser/file/html.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/file/html.py",
"repo_id": "llama_index",
"token_count": 1945
} | 1,162 |
package deletebuffer
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/internal/storage"
)
func TestDeleteBufferItem(t *testing.T) {
item := &BufferItem{
PartitionID: 100,
DeleteData: storage.DeleteData{},
}
assert.Equal(t, int64(96), item.Size())
item.DeleteData.Pks... | milvus/internal/querynodev2/delegator/deletebuffer/delete_item_test.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/deletebuffer/delete_item_test.go",
"repo_id": "milvus",
"token_count": 168
} | 1,904 |
# `tokenizers-darwin-x64`
This is the **x86_64-apple-darwin** binary for `tokenizers`
| tokenizers/bindings/node/npm/darwin-x64/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/darwin-x64/README.md",
"repo_id": "tokenizers",
"token_count": 34
} | 451 |
import json
import os
import re
from pathlib import Path
import pytest
from fsspec.registry import _registry as _fsspec_registry
from fsspec.spec import AbstractBufferedFile, AbstractFileSystem
from datasets.download.download_config import DownloadConfig
from datasets.download.streaming_download_manager import (
... | datasets/tests/test_streaming_download_manager.py/0 | {
"file_path": "datasets/tests/test_streaming_download_manager.py",
"repo_id": "datasets",
"token_count": 17220
} | 170 |
"""Default query for EmptyIndex."""
from typing import Any, List, Optional
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.indices.empty.base import EmptyIndex
from llama_index.legacy.prompts import BasePromptTempla... | llama_index/llama-index-legacy/llama_index/legacy/indices/empty/retrievers.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/empty/retrievers.py",
"repo_id": "llama_index",
"token_count": 495
} | 1,598 |
<!--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... | transformers/docs/source/en/model_doc/visual_bert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/visual_bert.md",
"repo_id": "transformers",
"token_count": 1676
} | 458 |
class ModerationPiiError(Exception):
"""Exception raised if PII entities are detected.
Attributes:
message -- explanation of the error
"""
def __init__(
self, message: str = "The prompt contains PII entities and cannot be processed"
):
self.message = message
super()... | langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_exceptions.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_exceptions.py",
"repo_id": "langchain",
"token_count": 367
} | 427 |
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