text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-replicate/llama_index/llms/replicate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-replicate/llama_index/llms/replicate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,301 |
package datacoord
import (
"testing"
"github.com/pingcap/log"
"github.com/samber/lo"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/proto/datapb"
)
func TestCompactionTriggerManagerSuite(t *testing.T) {
suite.Run(t, new(Compacti... | milvus/internal/datacoord/compaction_trigger_v2_test.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_trigger_v2_test.go",
"repo_id": "milvus",
"token_count": 1078
} | 1,791 |
# coding=utf-8
# Copyright 2021 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/tests/models/vit/test_modeling_tf_vit.py/0 | {
"file_path": "transformers/tests/models/vit/test_modeling_tf_vit.py",
"repo_id": "transformers",
"token_count": 3920
} | 793 |
# 🧪 Experimental
This section is for experiments, cool ideas, and more!
Code here lives outside the base package. If a project is sufficiently interesting and validated, then we will move it into the core abstractions.
| llama_index/experimental/README.md/0 | {
"file_path": "llama_index/experimental/README.md",
"repo_id": "llama_index",
"token_count": 50
} | 1,189 |
// Default generic "any" values are for backwards compatibility.
// Replace with "string" when we are comfortable with a breaking change.
import type { BaseCallbackConfig } from "../callbacks/manager.js";
import {
AIMessage,
HumanMessage,
SystemMessage,
BaseMessage,
ChatMessage,
type BaseMessageLike,
coe... | langchainjs/langchain-core/src/prompts/chat.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/chat.ts",
"repo_id": "langchainjs",
"token_count": 11083
} | 865 |
import shutil
import tempfile
import unittest
from langchain_community.graphs import KuzuGraph
EXPECTED_SCHEMA = """Node properties: [{'properties': [('name', 'STRING')], 'label': 'Movie'}, {'properties': [('name', 'STRING'), ('birthDate', 'STRING')], 'label': 'Person'}]
Relationships properties: [{'properties': [], ... | langchain/libs/community/tests/integration_tests/graphs/test_kuzu.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_kuzu.py",
"repo_id": "langchain",
"token_count": 1144
} | 359 |
import json
import logging
import numbers
from hashlib import sha1
from typing import Any, Dict, Iterable, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
logger = logging.getLogger()
class Aliba... | langchain/libs/community/langchain_community/vectorstores/alibabacloud_opensearch.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/alibabacloud_opensearch.py",
"repo_id": "langchain",
"token_count": 9327
} | 328 |
from typing import Any
from llama_index.legacy.multi_modal_llms.replicate_multi_modal import (
ReplicateMultiModal,
)
from llama_index.legacy.schema import ImageDocument
from pytest import MonkeyPatch
def mock_completion(*args: Any, **kwargs: Any) -> dict:
# Example taken from https://replicate.com/
retu... | llama_index/llama-index-legacy/tests/multi_modal_llms/test_replicate_multi_modal.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/multi_modal_llms/test_replicate_multi_modal.py",
"repo_id": "llama_index",
"token_count": 874
} | 1,749 |
<jupyter_start><jupyter_text>Fine-tuning for Semantic Segmentation with 🤗 TransformersIn this notebook, you'll learn how to fine-tune a pretrained vision model for Semantic Segmentation on a custom dataset in PyTorch. The idea is to add a randomly initialized segmentation head on top of a pre-trained encoder, and fine... | notebooks/examples/semantic_segmentation.ipynb/0 | {
"file_path": "notebooks/examples/semantic_segmentation.ipynb",
"repo_id": "notebooks",
"token_count": 6303
} | 283 |
from langchain_community.document_loaders.pubmed import PubMedLoader
__all__ = ["PubMedLoader"]
| langchain/libs/langchain/langchain/document_loaders/pubmed.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/pubmed.py",
"repo_id": "langchain",
"token_count": 28
} | 488 |
"""SQL Structured Store."""
from collections import defaultdict
from enum import Enum
from typing import Any, Optional, Sequence, Union
from sqlalchemy import Table
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.... | llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/sql.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/sql.py",
"repo_id": "llama_index",
"token_count": 2534
} | 1,577 |
from __future__ import annotations
from enum import Enum
from typing import TYPE_CHECKING, List, Optional
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import assemblyai
class TranscriptFormat(Enum):
"""Tran... | langchain/libs/community/langchain_community/document_loaders/assemblyai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/assemblyai.py",
"repo_id": "langchain",
"token_count": 3568
} | 249 |
from langchain_community.llms.fake import FakeListLLM
from langchain_core.documents import Document
from langchain_core.prompts import PromptTemplate
from langchain.chains import create_history_aware_retriever
from tests.unit_tests.retrievers.parrot_retriever import FakeParrotRetriever
def test_create() -> None:
... | langchain/libs/langchain/tests/unit_tests/chains/test_history_aware_retriever.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_history_aware_retriever.py",
"repo_id": "langchain",
"token_count": 355
} | 592 |
from langchain_community.chat_models.fake import (
FakeListChatModel,
FakeMessagesListChatModel,
)
__all__ = ["FakeMessagesListChatModel", "FakeListChatModel"]
| langchain/libs/langchain/langchain/chat_models/fake.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/fake.py",
"repo_id": "langchain",
"token_count": 56
} | 517 |
import { IterableReadableStream } from "@langchain/core/utils/stream";
import type { StringWithAutocomplete } from "@langchain/core/utils/types";
import { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
export interface OllamaInput {
embeddingOnly?: boolean;
f16KV?: boolean;
frequency... | langchainjs/libs/langchain-community/src/utils/ollama.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/ollama.ts",
"repo_id": "langchainjs",
"token_count": 1872
} | 964 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-packs/llama-index-packs-gmail-openai-agent/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gmail-openai-agent/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,656 |
cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU=
cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwred... | milvus/pkg/go.sum/0 | {
"file_path": "milvus/pkg/go.sum",
"repo_id": "milvus",
"token_count": 84336
} | 1,951 |
<script lang="ts">
import { onDestroy } from "svelte";
import { goto, invalidate } from "$app/navigation";
import { page } from "$app/stores";
import "../styles/main.css";
import { base } from "$app/paths";
import {
PUBLIC_APP_DESCRIPTION,
PUBLIC_ORIGIN,
PUBLIC_PLAUSIBLE_SCRIPT_URL,
} from "$env/static/pub... | chat-ui/src/routes/+layout.svelte/0 | {
"file_path": "chat-ui/src/routes/+layout.svelte",
"repo_id": "chat-ui",
"token_count": 2419
} | 106 |
# Tavily Research Tool
[Tavily](https://app.tavily.com/) is a robust research API tailored specifically for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant research experience.
To begin, you need to obtain an API key on the [Tavily's developer dashboard](https://app.tavil... | llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/README.md",
"repo_id": "llama_index",
"token_count": 635
} | 1,456 |
import { test, expect } from "@jest/globals";
import { AgentAction, AgentFinish } from "@langchain/core/agents";
import { StructuredChatOutputParser } from "../structured_chat/outputParser.js";
test("Can parse JSON with text in front of it", async () => {
const testCases = [
{
input:
'Here we have ... | langchainjs/langchain/src/agents/tests/structured_chat_output_parser.test.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/tests/structured_chat_output_parser.test.ts",
"repo_id": "langchainjs",
"token_count": 848
} | 946 |
from enum import Enum
from typing import Any, Dict, List, Optional, Union
import numpy as np
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.retrievers import BaseRetriever
from langc... | langchain/libs/community/langchain_community/retrievers/docarray.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/docarray.py",
"repo_id": "langchain",
"token_count": 2950
} | 296 |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Literal, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.utils import get_from_env
from langchain_community.document_loaders.base import BaseLoader
if TYPE_CHECKING:
from trello import Board, Card, ... | langchain/libs/community/langchain_community/document_loaders/trello.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/trello.py",
"repo_id": "langchain",
"token_count": 2871
} | 251 |
<jupyter_start><jupyter_text>YAML parserThis output parser allows users to specify an arbitrary schema and query LLMs for outputs that conform to that schema, using YAML to format their response.Keep in mind that large language models are leaky abstractions! You'll have to use an LLM with sufficient capacity to generat... | langchain/docs/docs/modules/model_io/output_parsers/types/yaml.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/yaml.ipynb",
"repo_id": "langchain",
"token_count": 424
} | 199 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.lancedb import LanceDBVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in LanceDBVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/tests/test_vector_stores_lancedb.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/tests/test_vector_stores_lancedb.py",
"repo_id": "llama_index",
"token_count": 93
} | 1,486 |
"""Json agent."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
fr... | langchain/libs/community/langchain_community/agent_toolkits/json/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/json/base.py",
"repo_id": "langchain",
"token_count": 733
} | 211 |
<jupyter_start><jupyter_text>YandexGPTThis notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings models.To use, you should have the `yandexcloud` python package installed.<jupyter_code>%pip install --upgrade --quiet yandexcloud<jupyter_output><empty_output>... | langchain/docs/docs/integrations/text_embedding/yandex.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/yandex.ipynb",
"repo_id": "langchain",
"token_count": 508
} | 168 |
import asyncio
import os
from typing import Any, List, Optional
import httpx
import requests
from llama_index.core.base.embeddings.base import BaseEmbedding, Embedding
from llama_index.core.bridge.pydantic import Field
class TogetherEmbedding(BaseEmbedding):
api_base: str = Field(
default="https://api.to... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/llama_index/embeddings/together/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/llama_index/embeddings/together/base.py",
"repo_id": "llama_index",
"token_count": 1871
} | 1,375 |
from pathlib import Path
from tempfile import TemporaryDirectory
from langchain_community.llms.fake import FakeListLLM
from langchain_core.tools import Tool
from langchain.agents.agent_types import AgentType
from langchain.agents.initialize import initialize_agent, load_agent
def test_mrkl_serialization() -> None:
... | langchain/libs/langchain/tests/unit_tests/agents/test_serialization.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_serialization.py",
"repo_id": "langchain",
"token_count": 329
} | 589 |
import { ConfigList } from "./ConfigList";
import { Schemas } from "../hooks/useSchemas";
import TypingBox from "./TypingBox";
import { Config } from "./Config";
import { ConfigListProps } from "../hooks/useConfigList";
import { cn } from "../utils/cn";
interface NewChatProps extends ConfigListProps {
configSchema: ... | opengpts/frontend/src/components/NewChat.tsx/0 | {
"file_path": "opengpts/frontend/src/components/NewChat.tsx",
"repo_id": "opengpts",
"token_count": 690
} | 1,916 |
"""DeepLake vector store index.
An index that is built within DeepLake.
"""
import logging
from typing import Any, List, Optional, cast
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
Bas... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/deeplake.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/deeplake.py",
"repo_id": "llama_index",
"token_count": 3500
} | 1,622 |
"""Query Transforms."""
from llama_index.legacy.indices.query.query_transform.base import (
DecomposeQueryTransform,
HyDEQueryTransform,
StepDecomposeQueryTransform,
)
__all__ = [
"HyDEQueryTransform",
"DecomposeQueryTransform",
"StepDecomposeQueryTransform",
]
| llama_index/llama-index-legacy/llama_index/legacy/indices/query/query_transform/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/query/query_transform/__init__.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,520 |
// 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/metastore/kv/rootcoord/suffix_snapshot.go/0 | {
"file_path": "milvus/internal/metastore/kv/rootcoord/suffix_snapshot.go",
"repo_id": "milvus",
"token_count": 6910
} | 1,798 |
# 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/tests/fsdp/test_fsdp.py/0 | {
"file_path": "accelerate/tests/fsdp/test_fsdp.py",
"repo_id": "accelerate",
"token_count": 6988
} | 14 |
"""Download tool from Llama Hub."""
from typing import Optional, Type
from llama_index.legacy.download.module import (
LLAMA_HUB_URL,
MODULE_TYPE,
download_llama_module,
track_download,
)
from llama_index.legacy.tools.tool_spec.base import BaseToolSpec
def download_tool(
tool_class: str,
lla... | llama_index/llama-index-legacy/llama_index/legacy/tools/download.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/download.py",
"repo_id": "llama_index",
"token_count": 520
} | 1,525 |
# coding=utf-8
# Copyright 2021 The EleutherAI and HuggingFace Teams. 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
#... | transformers/src/transformers/models/gptj/modeling_gptj.py/0 | {
"file_path": "transformers/src/transformers/models/gptj/modeling_gptj.py",
"repo_id": "transformers",
"token_count": 22144
} | 612 |
# Copyright 2024 Stanford University Team 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
#
#... | diffusers/examples/community/latent_consistency_img2img.py/0 | {
"file_path": "diffusers/examples/community/latent_consistency_img2img.py",
"repo_id": "diffusers",
"token_count": 16204
} | 205 |
# 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/autoencoders/test_models_vq.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_vq.py",
"repo_id": "diffusers",
"token_count": 1280
} | 279 |
import { TextServiceClient, protos } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";
import { type BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
/**
* Input for Text generation for Google Pa... | langchainjs/libs/langchain-community/src/llms/googlepalm.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/googlepalm.ts",
"repo_id": "langchainjs",
"token_count": 2107
} | 957 |
<jupyter_start><jupyter_text>Redis>[Redis (Remote Dictionary Server)](https://en.wikipedia.org/wiki/Redis) is an open-source in-memory storage, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. Because it holds all data in memory and because of its design, `Redis` ... | langchain/docs/docs/integrations/memory/redis_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/redis_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 663
} | 122 |
<!--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/it/perf_train_cpu_many.md/0 | {
"file_path": "transformers/docs/source/it/perf_train_cpu_many.md",
"repo_id": "transformers",
"token_count": 2562
} | 484 |
package msgstream
import (
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/mq/mqimpl/rocksmq/server"
"github.com/milvus-io/milvus/internal/mq/msgstream/mqwrapper/rmq"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/mq/msgstream"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
... | milvus/internal/mq/msgstream/mq_factory.go/0 | {
"file_path": "milvus/internal/mq/msgstream/mq_factory.go",
"repo_id": "milvus",
"token_count": 393
} | 1,816 |
[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 = ["GeminiEmbedding"]
contains_example = false
import_path = "llama_index.embeddings.gemini"
... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml",
"repo_id": "llama_index",
"token_count": 652
} | 1,229 |
# coding=utf-8
# Copyright 2020 Microsoft and the Hugging Face 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 require... | transformers/src/transformers/models/deberta/modeling_deberta.py/0 | {
"file_path": "transformers/src/transformers/models/deberta/modeling_deberta.py",
"repo_id": "transformers",
"token_count": 25656
} | 668 |
# Wikipedia
>[Wikipedia](https://wikipedia.org/) is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. `Wikipedia` is the largest and most-read reference work in history.
... | langchain/docs/docs/integrations/providers/wikipedia.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/wikipedia.mdx",
"repo_id": "langchain",
"token_count": 183
} | 150 |
import { LLM_SUMMERIZATION } from "$env/static/private";
import { generateFromDefaultEndpoint } from "$lib/server/generateFromDefaultEndpoint";
import type { Message } from "$lib/types/Message";
export async function summarize(prompt: string) {
if (!LLM_SUMMERIZATION) {
return prompt.split(/\s+/g).slice(0, 5).join(... | chat-ui/src/lib/server/summarize.ts/0 | {
"file_path": "chat-ui/src/lib/server/summarize.ts",
"repo_id": "chat-ui",
"token_count": 638
} | 107 |
package dao
import (
"database/sql"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/types"
"github.com/pingcap/log"
"go.uber.org/zap"
"gorm.io/gorm"
)
type segmentDb struct {
db *gorm.DB
}
func (s *segmentDb) DeleteAll() error {
return s.db... | chroma/go/coordinator/internal/metastore/db/dao/segment.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/segment.go",
"repo_id": "chroma",
"token_count": 1932
} | 48 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { ConversationalRetrievalQAChain } from "langchain/chains";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { BufferMemory } from "langchain/memory";
const CUSTOM_QUESTION_GENERATOR_CHAIN_PROMPT = `Given the following ... | langchainjs/examples/src/chains/conversation_qa_custom_prompt_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/conversation_qa_custom_prompt_legacy.ts",
"repo_id": "langchainjs",
"token_count": 676
} | 759 |
import pytest
from llama_index.core.ingestion.data_sources import (
ConfigurableDataSources,
ConfiguredDataSource,
)
from llama_index.core.schema import Document
@pytest.mark.parametrize("configurable_data_source_type", ConfigurableDataSources)
def test_can_generate_schema_for_data_source_component_type(
... | llama_index/llama-index-core/tests/ingestion/test_data_sources.py/0 | {
"file_path": "llama_index/llama-index-core/tests/ingestion/test_data_sources.py",
"repo_id": "llama_index",
"token_count": 668
} | 1,153 |
<!---
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 ... | transformers/templates/adding_a_missing_tokenization_test/README.md/0 | {
"file_path": "transformers/templates/adding_a_missing_tokenization_test/README.md",
"repo_id": "transformers",
"token_count": 472
} | 759 |
// 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/channel_checkpoint_updater.go/0 | {
"file_path": "milvus/internal/datanode/channel_checkpoint_updater.go",
"repo_id": "milvus",
"token_count": 700
} | 1,692 |
---
sidebar_position: 3
---
# Toolkits
Toolkits are collections of tools that are designed to be used together for specific tasks and have convenient loading methods.
For a complete list of these, visit [Integrations](/docs/integrations/toolkits/).
All Toolkits expose a `get_tools` method which returns a list of too... | langchain/docs/docs/modules/agents/tools/toolkits.mdx/0 | {
"file_path": "langchain/docs/docs/modules/agents/tools/toolkits.mdx",
"repo_id": "langchain",
"token_count": 155
} | 198 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { Tool } from "@langchain/core/tools";
import {
SfnConfig,
StartExecutionAWSSfnTool,
DescribeExecutionAWSSfnTool,
SendTaskSuccessAWSSfnTool,
} from "../../tools/aws_sfn.js";
import { Toolkit } from "./base.js";
/**
... | langchainjs/libs/langchain-community/src/agents/toolkits/aws_sfn.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/agents/toolkits/aws_sfn.ts",
"repo_id": "langchainjs",
"token_count": 1043
} | 974 |
# 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/src/transformers/data/processors/squad.py/0 | {
"file_path": "transformers/src/transformers/data/processors/squad.py",
"repo_id": "transformers",
"token_count": 15578
} | 559 |
from llama_index.embeddings.huggingface_optimum.base import OptimumEmbedding
__all__ = ["OptimumEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,263 |
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
from langchain_core.utils import get_from_dict_or_env
DEFAULT_EMBED_INSTRUCTION = "Represent this input: "
DEFAULT_QUERY_INSTRUCTION = "... | langchain/libs/community/langchain_community/embeddings/octoai_embeddings.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/octoai_embeddings.py",
"repo_id": "langchain",
"token_count": 1625
} | 272 |
import { NextRequest, NextResponse } from "next/server";
import { Message as VercelChatMessage, StreamingTextResponse } from "ai";
import { createClient } from "@supabase/supabase-js";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { ... | langchain-nextjs-template/app/api/chat/retrieval/route.ts/0 | {
"file_path": "langchain-nextjs-template/app/api/chat/retrieval/route.ts",
"repo_id": "langchain-nextjs-template",
"token_count": 1879
} | 68 |
[tool.poetry]
name = "pii_protected_chatbot"
version = "0.0.1"
description = "Flag PII before passing it to the LLM"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
presidio-analyzer = "^2.2.350"
[tool.poetry.group.dev.dependencies]
langchain-cli =... | langchain/templates/pii-protected-chatbot/pyproject.toml/0 | {
"file_path": "langchain/templates/pii-protected-chatbot/pyproject.toml",
"repo_id": "langchain",
"token_count": 300
} | 662 |
#!/usr/bin/env python
# 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-... | transformers/examples/flax/language-modeling/run_t5_mlm_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_t5_mlm_flax.py",
"repo_id": "transformers",
"token_count": 18636
} | 574 |
"""Test ForefrontAI API wrapper."""
from langchain_community.llms.forefrontai import ForefrontAI
def test_forefrontai_call() -> None:
"""Test valid call to forefrontai."""
llm = ForefrontAI(length=10)
output = llm("Say foo:")
assert isinstance(output, str)
| langchain/libs/community/tests/integration_tests/llms/test_forefrontai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_forefrontai.py",
"repo_id": "langchain",
"token_count": 95
} | 370 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.localai import LocalAI
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in LocalAI.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-localai/tests/test_llms_localai.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-localai/tests/test_llms_localai.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,304 |
# coding=utf-8
# Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors and 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 ... | transformers/src/transformers/models/bridgetower/configuration_bridgetower.py/0 | {
"file_path": "transformers/src/transformers/models/bridgetower/configuration_bridgetower.py",
"repo_id": "transformers",
"token_count": 6247
} | 589 |
"""Cassandra / Astra DB Vector store index.
An index based on a DB table with vector search capabilities,
powered by the cassIO library
"""
import logging
from typing import Any, Dict, Iterable, List, Optional, TypeVar, cast
from cassio.table import ClusteredMetadataVectorCassandraTable
from llama_index.core.indice... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/llama_index/vector_stores/cassandra/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/llama_index/vector_stores/cassandra/base.py",
"repo_id": "llama_index",
"token_count": 5552
} | 1,473 |
import Head from "next/head";
import { Inter } from "next/font/google";
import { fetchEventSource } from "@microsoft/fetch-event-source";
import styles from "@/styles/Home.module.css";
import { useSupabaseClient } from "@supabase/auth-helpers-react";
import { FormEvent, useCallback, useState } from "react";
const inte... | langchain-template-supabase/src/pages/index.tsx/0 | {
"file_path": "langchain-template-supabase/src/pages/index.tsx",
"repo_id": "langchain-template-supabase",
"token_count": 1353
} | 71 |
<!--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/push_to_hub.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/push_to_hub.md",
"repo_id": "diffusers",
"token_count": 2083
} | 196 |
import json
import os
from typing import Dict, Optional
class Portkey:
"""Portkey configuration.
Attributes:
base: The base URL for the Portkey API.
Default: "https://api.portkey.ai/v1/proxy"
"""
base = "https://api.portkey.ai/v1/proxy"
@staticmethod
def Config(
ap... | langchain/libs/community/langchain_community/utilities/portkey.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/portkey.py",
"repo_id": "langchain",
"token_count": 1096
} | 324 |
//! Represents a tokenization pipeline.
//!
//! A [`Tokenizer`](struct.Tokenizer.html) is composed of some of the following parts.
//! - [`Normalizer`](trait.Normalizer.html): Takes care of the text normalization (like unicode normalization).
//! - [`PreTokenizer`](trait.PreTokenizer.html): Takes care of the pre to... | tokenizers/tokenizers/src/tokenizer/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/mod.rs",
"repo_id": "tokenizers",
"token_count": 18666
} | 485 |
import type { AgentFinish } from "@langchain/core/agents";
import { OutputParserException } from "@langchain/core/output_parsers";
import { AgentActionOutputParser } from "../types.js";
import { FORMAT_INSTRUCTIONS } from "./prompt.js";
export const FINAL_ANSWER_ACTION = "Final Answer:";
/**
* A class that extends th... | langchainjs/langchain/src/agents/chat/outputParser.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/chat/outputParser.ts",
"repo_id": "langchainjs",
"token_count": 1001
} | 891 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "chat_models/bedrock/web",
});
export * from "@langchain/community/chat_models/bedrock/web";
| langchainjs/langchain/src/chat_models/bedrock/web.ts/0 | {
"file_path": "langchainjs/langchain/src/chat_models/bedrock/web.ts",
"repo_id": "langchainjs",
"token_count": 79
} | 964 |
from langchain.chains.structured_output.base import (
create_openai_fn_runnable,
create_structured_output_runnable,
)
__all__ = ["create_structured_output_runnable", "create_openai_fn_runnable"]
| langchain/libs/langchain/langchain/chains/structured_output/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/structured_output/__init__.py",
"repo_id": "langchain",
"token_count": 77
} | 493 |
"""
Util that calls several of Polygon's stock market REST APIs.
Docs: https://polygon.io/docs/stocks/getting-started
"""
import json
from typing import Dict, Optional
import requests
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
POLYGON_BASE_UR... | langchain/libs/community/langchain_community/utilities/polygon.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/polygon.py",
"repo_id": "langchain",
"token_count": 612
} | 329 |
<jupyter_start><jupyter_text>Voyage Embeddings If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-voyageai
!pip install llama-index
# imports
import os
from llama_index.embeddings.voyageai import VoyageEmbedding
# get API key and ... | llama_index/docs/examples/embeddings/voyageai.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/voyageai.ipynb",
"repo_id": "llama_index",
"token_count": 232
} | 1,116 |
from langchain_community.embeddings.gpt4all import GPT4AllEmbeddings
__all__ = ["GPT4AllEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/gpt4all.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/gpt4all.py",
"repo_id": "langchain",
"token_count": 38
} | 501 |
import math
from typing import Any, List
import metal_sdk # noqa
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.core.vector_stores.utils i... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/llama_index/vector_stores/metal/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/llama_index/vector_stores/metal/base.py",
"repo_id": "llama_index",
"token_count": 2168
} | 1,609 |
# Graph Database Cypher Loader
This loader populates documents from results of Cypher queries from a Graph database endpoint.
The user specifies a GraphDB endpoint URL with optional credentials to initialize the reader.
By declaring the Cypher query and optional parameters the loader can fetch the nested result docs.
... | llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/README.md",
"repo_id": "llama_index",
"token_count": 487
} | 1,380 |
from typing import Dict, Iterator, List, Optional, Tuple, Union
from tokenizers import AddedToken, Tokenizer, decoders, pre_tokenizers, processors, trainers
from tokenizers.models import BPE
from tokenizers.normalizers import Lowercase, Sequence, unicode_normalizer_from_str
from .base_tokenizer import BaseTokenizer
... | tokenizers/bindings/python/py_src/tokenizers/implementations/byte_level_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/byte_level_bpe.py",
"repo_id": "tokenizers",
"token_count": 1978
} | 421 |
// 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/core/src/exec/expression/JsonContainsExpr.cpp/0 | {
"file_path": "milvus/internal/core/src/exec/expression/JsonContainsExpr.cpp",
"repo_id": "milvus",
"token_count": 17362
} | 1,750 |
# 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/tests/conftest.py/0 | {
"file_path": "peft/tests/conftest.py",
"repo_id": "peft",
"token_count": 356
} | 353 |
"""Test Marqo functionality."""
from typing import Dict
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores.marqo import Marqo
DEFAULT_MARQO_URL = "http://localhost:8882"
DEFAULT_MARQO_API_KEY = ""
INDEX_NAME = "langchain-integration-tests"
@pytest.fixture
def client()... | langchain/libs/community/tests/integration_tests/vectorstores/test_marqo.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_marqo.py",
"repo_id": "langchain",
"token_count": 2615
} | 360 |
// 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/core/src/common/QueryResult.h/0 | {
"file_path": "milvus/internal/core/src/common/QueryResult.h",
"repo_id": "milvus",
"token_count": 1074
} | 1,779 |
import os
import pickle
def load_class_map(map_or_filename, root=''):
if isinstance(map_or_filename, dict):
assert dict, 'class_map dict must be non-empty'
return map_or_filename
class_map_path = map_or_filename
if not os.path.exists(class_map_path):
class_map_path = os.path.join(r... | pytorch-image-models/timm/data/readers/class_map.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/class_map.py",
"repo_id": "pytorch-image-models",
"token_count": 387
} | 383 |
from langchain_core.language_models.chat_models import (
BaseChatModel,
SimpleChatModel,
agenerate_from_stream,
generate_from_stream,
)
__all__ = [
"BaseChatModel",
"SimpleChatModel",
"generate_from_stream",
"agenerate_from_stream",
]
| langchain/libs/langchain/langchain/chat_models/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/base.py",
"repo_id": "langchain",
"token_count": 108
} | 496 |
from langchain_community.tools.scenexplain.tool import SceneXplainInput, SceneXplainTool
__all__ = ["SceneXplainInput", "SceneXplainTool"]
| langchain/libs/langchain/langchain/tools/scenexplain/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/scenexplain/tool.py",
"repo_id": "langchain",
"token_count": 43
} | 565 |
from threading import Thread
from typing import TYPE_CHECKING, Any, Callable, Generator, Optional, Sequence
if TYPE_CHECKING:
from langchain.base_language import BaseLanguageModel
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.l... | llama_index/llama-index-legacy/llama_index/legacy/llms/langchain.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/langchain.py",
"repo_id": "llama_index",
"token_count": 3449
} | 1,577 |
# 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/swin/configuration_swin.py/0 | {
"file_path": "transformers/src/transformers/models/swin/configuration_swin.py",
"repo_id": "transformers",
"token_count": 3174
} | 682 |
import { IEmbeddingFunction } from "./IEmbeddingFunction";
export class JinaEmbeddingFunction implements IEmbeddingFunction {
private model_name: string;
private api_url: string;
private headers: { [key: string]: string };
constructor({ jinaai_api_key, model_name }: { jinaai_api_key: string; model_name?: stri... | chroma/clients/js/src/embeddings/JinaEmbeddingFunction.ts/0 | {
"file_path": "chroma/clients/js/src/embeddings/JinaEmbeddingFunction.ts",
"repo_id": "chroma",
"token_count": 595
} | 32 |
#include <stdint.h>
#include "reduction_utils.cuh"
template <typename scalar_t>
__device__ void
rms_norm_kernel(scalar_t *__restrict__ out, // [num_tokens, hidden_size]
const scalar_t *__restrict__ input, // [num_tokens, hidden_size]
const float epsilon, const uint32_t num_token... | candle/candle-examples/examples/custom-ops/kernels/layernorm_kernels.cu/0 | {
"file_path": "candle/candle-examples/examples/custom-ops/kernels/layernorm_kernels.cu",
"repo_id": "candle",
"token_count": 561
} | 39 |
// 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/InsertRecord.h/0 | {
"file_path": "milvus/internal/core/src/segcore/InsertRecord.h",
"repo_id": "milvus",
"token_count": 10434
} | 1,798 |
# 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/mobilevitv2/convert_mlcvnets_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mobilevitv2/convert_mlcvnets_to_pytorch.py",
"repo_id": "transformers",
"token_count": 5873
} | 717 |
from pathlib import Path
from langchain_community.document_loaders import JSONLoader
def test_json_loader() -> None:
"""Test unstructured loader."""
file_path = Path(__file__).parent.parent / "examples/example.json"
loader = JSONLoader(str(file_path), ".messages[].content")
docs = loader.load()
... | langchain/libs/community/tests/integration_tests/document_loaders/test_json_loader.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_json_loader.py",
"repo_id": "langchain",
"token_count": 160
} | 349 |
# coding=utf-8
# Copyright 2023 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/seamless_m4t/configuration_seamless_m4t.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t/configuration_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 9594
} | 665 |
import torch
from transformers import AutoModel
class FSNERModel(torch.nn.Module):
"""
The FSNER model implements a few-shot named entity recognition method from the paper `Example-Based Named Entity Recognition <https://arxiv.org/abs/2008.10570>`__ by
Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade H... | transformers/examples/research_projects/fsner/src/fsner/model.py/0 | {
"file_path": "transformers/examples/research_projects/fsner/src/fsner/model.py",
"repo_id": "transformers",
"token_count": 1436
} | 586 |
# Res2Net
**Res2Net** is an image model that employs a variation on bottleneck residual blocks, [Res2Net Blocks](https://paperswithcode.com/method/res2net-block). The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical... | pytorch-image-models/hfdocs/source/models/res2net.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/res2net.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3950
} | 380 |
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING, List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
BaseOutput,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is... | diffusers/src/diffusers/pipelines/stable_diffusion_safe/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/__init__.py",
"repo_id": "diffusers",
"token_count": 1237
} | 264 |
# Retriever
## Concept
Retrievers are responsible for fetching the most relevant context given a user query (or chat message).
It can be built on top of [indexes](/module_guides/indexing/indexing.md), but can also be defined independently.
It is used as a key building block in [query engines](/module_guides/deployin... | llama_index/docs/module_guides/querying/retriever/root.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/retriever/root.md",
"repo_id": "llama_index",
"token_count": 793
} | 1,098 |
<jupyter_start><jupyter_text>Semi-structured and Multi-modal RAGMany documents contain a mixture of content types, including text, tables, and images. Semi-structured data can be challenging for conventional RAG for at least two reasons: * Text splitting may break up tables, corrupting the data in retrieval* Embedding ... | langchain/cookbook/Semi_structured_and_multi_modal_RAG.ipynb/0 | {
"file_path": "langchain/cookbook/Semi_structured_and_multi_modal_RAG.ipynb",
"repo_id": "langchain",
"token_count": 4227
} | 75 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 14402,
"logprob": null,
"text": "Test"
},
{
"id": 2581,
"logprob": -11.6171875,
"text": " request"
}
],
"see... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi.json",
"repo_id": "text-generation-inference",
"token_count": 1003
} | 364 |
# 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/src/transformers/models/deberta/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/deberta/__init__.py",
"repo_id": "transformers",
"token_count": 1512
} | 586 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/poolformer/test_image_processing_poolformer.py/0 | {
"file_path": "transformers/tests/models/poolformer/test_image_processing_poolformer.py",
"repo_id": "transformers",
"token_count": 1773
} | 728 |
"""PII postprocessor."""
import json
from copy import deepcopy
from typing import Callable, Dict, List, Optional, Tuple
from llama_index.core.llms.llm import LLM
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.schema ... | llama_index/llama-index-core/llama_index/core/postprocessor/pii.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/postprocessor/pii.py",
"repo_id": "llama_index",
"token_count": 2259
} | 1,236 |
import re
import sys
from functools import partial
from typing import Any, Iterable, Iterator, List, Optional, Tuple
if sys.version_info < (3, 8): # noqa: UP036
from typing import Final
else:
from typing import Final
from collections import defaultdict
import numpy as np
import numpy.typing as npt
try:
... | llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/llama_index/readers/sec_filings/prepline_sec_filings/sec_document.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-sec-filings/llama_index/readers/sec_filings/prepline_sec_filings/sec_document.py",
"repo_id": "llama_index",
"token_count": 7738
} | 1,550 |
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