text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from __future__ import annotations
import uuid
import warnings
from itertools import repeat
from typing import (
TYPE_CHECKING,
Any,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
Union,
)
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings... | langchain/libs/community/langchain_community/vectorstores/supabase.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/supabase.py",
"repo_id": "langchain",
"token_count": 7223
} | 313 |
from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_comm... | langchain/libs/community/langchain_community/llms/mosaicml.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/mosaicml.py",
"repo_id": "langchain",
"token_count": 2811
} | 271 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -9.828125,
"text": "Test"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json",
"repo_id": "text-generation-inference",
"token_count": 4903
} | 393 |
<!--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/es/quicktour.md/0 | {
"file_path": "transformers/docs/source/es/quicktour.md",
"repo_id": "transformers",
"token_count": 6360
} | 506 |
<!--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/ko/optimization/tome.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/tome.md",
"repo_id": "diffusers",
"token_count": 4366
} | 193 |
# coding=utf-8
# Copyright 2021 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/wav2vec2_with_lm/processing_wav2vec2_with_lm.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py",
"repo_id": "transformers",
"token_count": 12934
} | 690 |
package notification
import (
"context"
"sort"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/model"
)
type DatabaseNotificationStore struct {
metaDomain dbmodel.IMetaDomain
txImpl dbmodel.ITransaction
}
var _ NotificationStore = &Databa... | chroma/go/coordinator/internal/notification/database_notification_store.go/0 | {
"file_path": "chroma/go/coordinator/internal/notification/database_notification_store.go",
"repo_id": "chroma",
"token_count": 1027
} | 52 |
from langchain_core.prompts import ChatPromptTemplate
template = """When faced with a task, begin by identifying the participants who will contribute to solving the task. Then, initiate a multi-round collaboration process until a final solution is reached. The participants will
give critical comments a... | langchain/templates/solo-performance-prompting-agent/solo_performance_prompting_agent/prompts.py/0 | {
"file_path": "langchain/templates/solo-performance-prompting-agent/solo_performance_prompting_agent/prompts.py",
"repo_id": "langchain",
"token_count": 1778
} | 684 |
"""Tools for making requests to an API endpoint."""
| langchain/libs/langchain/langchain/tools/requests/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/requests/__init__.py",
"repo_id": "langchain",
"token_count": 12
} | 609 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.deeplake_multimodal_retrieval import (
DeepLakeMultimodalRetrieverPack,
)
def test_class():
names_of_base_classes = [
b.__name__ for b in DeepLakeMultimodalRetrieverPack.__mro__
]
assert BaseLlamaPack.__name__ in name... | llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/tests/test_packs_deeplake_multimodal_retrieval.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/tests/test_packs_deeplake_multimodal_retrieval.py",
"repo_id": "llama_index",
"token_count": 138
} | 1,698 |
"""Loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.unstructured impo... | langchain/libs/community/langchain_community/document_loaders/word_document.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/word_document.py",
"repo_id": "langchain",
"token_count": 1847
} | 265 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-ollama/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ollama/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,272 |
import logging
from typing import Any, List, Optional, Sequence
from llama_index.core.indices.base import BaseIndex
from llama_index.core.indices.composability.graph import ComposableGraph
from llama_index.core.indices.registry import INDEX_STRUCT_TYPE_TO_INDEX_CLASS
from llama_index.core.storage.storage_context impor... | llama_index/llama-index-core/llama_index/core/indices/loading.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/loading.py",
"repo_id": "llama_index",
"token_count": 1378
} | 1,264 |
package proxy
import (
"context"
"strconv"
"testing"
"time"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/require"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/mi... | milvus/internal/proxy/task_hybrid_search_test.go/0 | {
"file_path": "milvus/internal/proxy/task_hybrid_search_test.go",
"repo_id": "milvus",
"token_count": 4501
} | 1,887 |
<!--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/custom_pipeline_overview.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/custom_pipeline_overview.md",
"repo_id": "diffusers",
"token_count": 3455
} | 198 |
import pytest
from llama_index.legacy.core.llms.types import ChatMessage
from llama_index.legacy.llms.konko import Konko
try:
import konko
except ImportError:
konko = None # type: ignore
@pytest.mark.skipif(konko is None, reason="konko not installed")
def test_chat_model_basic_non_openai_model() -> None:
... | llama_index/llama-index-legacy/tests/llms/test_konko.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llms/test_konko.py",
"repo_id": "llama_index",
"token_count": 551
} | 1,559 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "callbacks",
newEntrypointName: "callbacks/manager",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/callbacks/manager";
| langchainjs/langchain/src/callbacks/manager.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/manager.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 859 |
# langchain-nvidia-ai-endpoints
The `langchain-nvidia-ai-endpoints` package contains LangChain integrations for chat models and embeddings powered by the [NVIDIA AI Foundation Model](https://www.nvidia.com/en-us/ai-data-science/foundation-models/) playground environment.
> [NVIDIA AI Foundation Endpoints](https://ww... | langchain/libs/partners/nvidia-ai-endpoints/README.md/0 | {
"file_path": "langchain/libs/partners/nvidia-ai-endpoints/README.md",
"repo_id": "langchain",
"token_count": 3627
} | 620 |
# DPO Authors: Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn 2023
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | trl/trl/trainer/dpo_trainer.py/0 | {
"file_path": "trl/trl/trainer/dpo_trainer.py",
"repo_id": "trl",
"token_count": 27730
} | 875 |
{
"name": "@langchain/community",
"version": "0.0.29",
"description": "Third-party integrations for LangChain.js",
"type": "module",
"engines": {
"node": ">=18"
},
"main": "./index.js",
"types": "./index.d.ts",
"repository": {
"type": "git",
"url": "git@github.com:langchain-ai/langchainjs.... | langchainjs/libs/langchain-community/package.json/0 | {
"file_path": "langchainjs/libs/langchain-community/package.json",
"repo_id": "langchainjs",
"token_count": 45210
} | 1,014 |
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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://ww... | transformers/src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py/0 | {
"file_path": "transformers/src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py",
"repo_id": "transformers",
"token_count": 4437
} | 702 |
# neo4j-semantic-ollama
This template is designed to implement an agent capable of interacting with a graph database like Neo4j through a semantic layer using Mixtral as a JSON-based agent.
The semantic layer equips the agent with a suite of robust tools, allowing it to interact with the graph database based on the us... | langchain/templates/neo4j-semantic-ollama/README.md/0 | {
"file_path": "langchain/templates/neo4j-semantic-ollama/README.md",
"repo_id": "langchain",
"token_count": 1257
} | 658 |
import time
import datetime
import json
import hashlib
from .env import Env
from .server import Server
from .hardware import Hardware
class Metric(object):
def __init__(self):
# format of report data
self._version = '0.1'
self._type = 'metric'
self.run_id = None
self.mode =... | milvus/tests/benchmark/milvus_benchmark/metrics/models/metric.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/metrics/models/metric.py",
"repo_id": "milvus",
"token_count": 733
} | 1,991 |
from __future__ import annotations
import functools
from collections import defaultdict
from typing import TYPE_CHECKING, Any, Callable, DefaultDict, Dict, List, TypeVar, Union
from langsmith import run_helpers
if TYPE_CHECKING:
from openai import AsyncOpenAI, OpenAI
from openai.types.chat.chat_completion_ch... | langsmith-sdk/python/langsmith/wrappers/_openai.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/wrappers/_openai.py",
"repo_id": "langsmith-sdk",
"token_count": 2545
} | 1,049 |
<jupyter_start><jupyter_text>Retrieval-Augmented OpenAI Agent In this tutorial, we show you how to use our `FnRetrieverOpenAI` implementationto build an agent on top of OpenAI's function API and store/index an arbitrary number of tools. Our indexing/retrieval modules help to remove the complexity of having too many fun... | llama_index/docs/examples/agent/openai_agent_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_agent_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 1133
} | 1,123 |
"""Neo4j graph store index."""
import logging
from typing import Any, Dict, List, Optional
from llama_index.legacy.graph_stores.types import GraphStore
logger = logging.getLogger(__name__)
node_properties_query = """
CALL apoc.meta.data()
YIELD label, other, elementType, type, property
WHERE NOT type = "RELATIONSHI... | llama_index/llama-index-legacy/llama_index/legacy/graph_stores/neo4j.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/graph_stores/neo4j.py",
"repo_id": "llama_index",
"token_count": 4502
} | 1,560 |
[tool.poetry]
name = "llama2-functions"
version = "0.1.0"
description = "Extraction with a JSON-output LLaMA2 model"
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
replicate = ">=0.15.4"
[tool.poetry.group.dev.dependen... | langchain/templates/llama2-functions/pyproject.toml/0 | {
"file_path": "langchain/templates/llama2-functions/pyproject.toml",
"repo_id": "langchain",
"token_count": 285
} | 644 |
"""Polygon Toolkit"""
| langchain/libs/community/langchain_community/agent_toolkits/polygon/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/polygon/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 223 |
"""Gcs file and directory reader.
A loader that fetches a file or iterates through a directory on Gcs.
"""
from typing import Dict, List, Optional, Union
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from llama_index.readers.opendal.base import OpendalReader
cla... | llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/gcs/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/llama_index/readers/opendal/gcs/base.py",
"repo_id": "llama_index",
"token_count": 812
} | 1,531 |
"""Feishu docs reader."""
import json
import os
import time
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
# Copyright (2023) Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License... | llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/base.py",
"repo_id": "llama_index",
"token_count": 1486
} | 1,291 |
# Copyright 2021 The HuggingFace Team, the AllenNLP library authors. 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/scripts/stale.py/0 | {
"file_path": "transformers/scripts/stale.py",
"repo_id": "transformers",
"token_count": 1217
} | 602 |
"""Agent components."""
from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple, cast
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.c... | llama_index/llama-index-core/llama_index/core/query_pipeline/components/agent.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_pipeline/components/agent.py",
"repo_id": "llama_index",
"token_count": 4130
} | 1,212 |
// 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/querynodev2/pipeline/insert_node.go/0 | {
"file_path": "milvus/internal/querynodev2/pipeline/insert_node.go",
"repo_id": "milvus",
"token_count": 1608
} | 1,872 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-slack/llama_index/readers/slack/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,440 |
from .base import ColbertIndex
from .retriever import ColbertRetriever
__all__ = ["ColbertIndex", "ColbertRetriever"]
| llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/colbert_index/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,601 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/utils/other.py/0 | {
"file_path": "peft/src/peft/utils/other.py",
"repo_id": "peft",
"token_count": 9551
} | 338 |
# Simple Website Loader
This loader is a simple web scraper that fetches the text from static websites by converting the HTML to text.
## Usage
To use this loader, you need to pass in an array of URLs.
```python
from llama_index import download_loader
SimpleWebPageReader = download_loader("SimpleWebPageReader")
l... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/README.md",
"repo_id": "llama_index",
"token_count": 603
} | 1,541 |
import requests
requests.packages.urllib3.disable_warnings() # noqa
url = "https://api.github.com/repos/milvus-io/milvus/actions/workflows"
payload = {}
token = "" # your token
headers = {
"Authorization": f"token {token}",
}
response = requests.request("GET", url, headers=headers, data=payload)
def analysis_w... | milvus/tests/python_client/chaos/scripts/workflow_analyse.py/0 | {
"file_path": "milvus/tests/python_client/chaos/scripts/workflow_analyse.py",
"repo_id": "milvus",
"token_count": 737
} | 1,995 |
[tool.poetry]
name = "xml-agent"
version = "0.1.0"
description = "Agent that uses XML syntax to communicate its decisions of what actions to take"
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
anthropic = ">=0.5.0"
lan... | langchain/templates/xml-agent/pyproject.toml/0 | {
"file_path": "langchain/templates/xml-agent/pyproject.toml",
"repo_id": "langchain",
"token_count": 300
} | 716 |
<jupyter_start><jupyter_text>SQLite>[SQLite](https://en.wikipedia.org/wiki/SQLite) is a database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps. As such, it belongs to the family of embedded databases. It is the most widely ... | langchain/docs/docs/integrations/memory/sqlite.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/sqlite.ipynb",
"repo_id": "langchain",
"token_count": 852
} | 136 |
---
hide_table_of_contents: true
---
# TokenTextSplitter
Finally, `TokenTextSplitter` splits a raw text string by first converting the text into BPE tokens, then split these tokens into chunks and convert the tokens within a single chunk back into text.
```typescript
import { Document } from "langchain/document";
im... | langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/token_splitter.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/token_splitter.mdx",
"repo_id": "langchainjs",
"token_count": 170
} | 740 |
import asyncio
import logging
import queue
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from enum import Enum
from threading import Event
from typing import AsyncGenerator, Generator, List, Optional, Union
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatRespons... | llama_index/llama-index-legacy/llama_index/legacy/chat_engine/types.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/chat_engine/types.py",
"repo_id": "llama_index",
"token_count": 4449
} | 1,582 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test } from "@jest/globals";
import { compile } from "html-to-text";
import { RecursiveUrlLoader } from "../web/recursive_url.js";
describe("RecursiveUrlLoader", () => {
test("loading valid url", async () => {
... | langchainjs/langchain/src/document_loaders/tests/recursive_url.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/recursive_url.int.test.ts",
"repo_id": "langchainjs",
"token_count": 976
} | 945 |
"""Jira Tool."""
| langchain/libs/community/langchain_community/tools/jira/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/jira/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 307 |
from datetime import datetime
from typing import Any, Dict, List, Optional
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.outputs import LLMResult
from langchain_community.callbacks.utils import import_pandas
class ArizeCallbac... | langchain/libs/community/langchain_community/callbacks/arize_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/arize_callback.py",
"repo_id": "langchain",
"token_count": 3930
} | 218 |
from typing import Optional, Sequence, Any, Tuple, cast, Generator, Union, Dict, List
from chromadb.segment import MetadataReader
from chromadb.ingest import Consumer
from chromadb.config import System
from chromadb.types import Segment, InclusionExclusionOperator
from chromadb.db.impl.sqlite import SqliteDB
from overr... | chroma/chromadb/segment/impl/metadata/sqlite.py/0 | {
"file_path": "chroma/chromadb/segment/impl/metadata/sqlite.py",
"repo_id": "chroma",
"token_count": 14052
} | 19 |
from langchain_community.tools.steam.tool import SteamWebAPIQueryRun
__all__ = ["SteamWebAPIQueryRun"]
| langchain/libs/langchain/langchain/tools/steam/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/steam/tool.py",
"repo_id": "langchain",
"token_count": 31
} | 588 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.palm import PaLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in PaLM.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-palm/tests/test_llms_palm.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-palm/tests/test_llms_palm.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,313 |
"""Test PromptLayer OpenAIChat API wrapper."""
from pathlib import Path
import pytest
from langchain_community.llms.loading import load_llm
from langchain_community.llms.promptlayer_openai import PromptLayerOpenAIChat
def test_promptlayer_openai_chat_call() -> None:
"""Test valid call to promptlayer openai."""... | langchain/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py",
"repo_id": "langchain",
"token_count": 523
} | 341 |
"""**OutputParser** classes parse the output of an LLM call.
**Class hierarchy:**
.. code-block::
BaseLLMOutputParser --> BaseOutputParser --> <name>OutputParser # GuardrailsOutputParser
**Main helpers:**
.. code-block::
Serializable, Generation, PromptValue
""" # noqa: E501
| langchain/libs/community/langchain_community/output_parsers/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/output_parsers/__init__.py",
"repo_id": "langchain",
"token_count": 90
} | 288 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,610 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { promisify } from "util";
import { randomUUID } from "crypto";
import { ZepRetriever } from "../zep.js";
import { ZepMemory } from "../../memory/zep.js";
const baseUR... | langchainjs/libs/langchain-community/src/retrievers/tests/zep.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tests/zep.int.test.ts",
"repo_id": "langchainjs",
"token_count": 528
} | 979 |
from langchain_community.llms.anthropic import Anthropic
__all__ = ["Anthropic"]
| langchain/libs/langchain/langchain/llms/anthropic.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/anthropic.py",
"repo_id": "langchain",
"token_count": 26
} | 535 |
// 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/rootcoord/garbage_collector_test.go/0 | {
"file_path": "milvus/internal/rootcoord/garbage_collector_test.go",
"repo_id": "milvus",
"token_count": 6804
} | 1,882 |
import { test, expect } from "@jest/globals";
import { SystemMessage } from "@langchain/core/messages";
import { PromptLayerOpenAI } from "../openai.js";
import { PromptLayerOpenAIChat } from "../openai-chat.js";
import { PromptLayerChatOpenAI } from "../../chat_models/openai.js";
test("Test PromptLayerOpenAI returns... | langchainjs/langchain/src/llms/tests/prompt_layer.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/tests/prompt_layer.int.test.ts",
"repo_id": "langchainjs",
"token_count": 934
} | 904 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class MidiProcessor(metaclass=DummyObject):
_backends = ["note_seq"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["note_seq"])
@classmethod
def from... | diffusers/src/diffusers/utils/dummy_note_seq_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_note_seq_objects.py",
"repo_id": "diffusers",
"token_count": 201
} | 254 |
// 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/pkg/util/paramtable/grpc_param_test.go/0 | {
"file_path": "milvus/pkg/util/paramtable/grpc_param_test.go",
"repo_id": "milvus",
"token_count": 2620
} | 2,118 |
"""**Document Loaders** are classes to load Documents.
**Document Loaders** are usually used to load a lot of Documents in a single run.
**Class hierarchy:**
.. code-block::
BaseLoader --> <name>Loader # Examples: TextLoader, UnstructuredFileLoader
**Main helpers:**
.. code-block::
Document, <name>Text... | langchain/libs/community/langchain_community/document_loaders/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/__init__.py",
"repo_id": "langchain",
"token_count": 5363
} | 248 |
from langchain_community.vectorstores.redis.base import (
Redis,
RedisVectorStoreRetriever,
check_index_exists,
)
__all__ = [
"check_index_exists",
"Redis",
"RedisVectorStoreRetriever",
]
| langchain/libs/langchain/langchain/vectorstores/redis/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/redis/base.py",
"repo_id": "langchain",
"token_count": 90
} | 578 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/examples/research_projects/distillation/scripts/extract.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/scripts/extract.py",
"repo_id": "transformers",
"token_count": 2038
} | 574 |
import { test } from "@jest/globals";
import { GooglePaLM } from "../googlepalm.js";
test.skip("Test Google Palm", async () => {
const model = new GooglePaLM();
const res = await model.call("what is 1 + 1?");
console.log({ res });
expect(res).toBeTruthy();
});
test.skip("Test Google Palm generation", async ()... | langchainjs/libs/langchain-community/src/llms/tests/googlepalm.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/googlepalm.int.test.ts",
"repo_id": "langchainjs",
"token_count": 324
} | 1,062 |
// 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/cmd/roles/roles.go/0 | {
"file_path": "milvus/cmd/roles/roles.go",
"repo_id": "milvus",
"token_count": 4901
} | 1,700 |
# coding=utf-8
# Copyright 2022 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/utils/check_config_docstrings.py/0 | {
"file_path": "transformers/utils/check_config_docstrings.py",
"repo_id": "transformers",
"token_count": 1277
} | 775 |
"""Test MRKL functionality."""
from typing import Tuple
import pytest
from langchain_core.agents import AgentAction
from langchain_core.exceptions import OutputParserException
from langchain_core.prompts import PromptTemplate
from langchain_core.tools import Tool
from langchain.agents.mrkl.base import ZeroShotAgent
... | langchain/libs/langchain/tests/unit_tests/agents/test_mrkl.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_mrkl.py",
"repo_id": "langchain",
"token_count": 2191
} | 647 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research 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 L... | transformers/src/transformers/modeling_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_utils.py",
"repo_id": "transformers",
"token_count": 102145
} | 629 |
import type { ToolInterface } from "@langchain/core/tools";
import { BasePromptTemplate } from "@langchain/core/prompts";
import type {
BaseLanguageModel,
BaseLanguageModelInterface,
} from "@langchain/core/language_models/base";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables"... | langchainjs/langchain/src/agents/react/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/react/index.ts",
"repo_id": "langchainjs",
"token_count": 1079
} | 894 |
# Setup [[setup]]
After all this information, it's time to get started. We're going to do two things:
1. **Create your Hugging Face account** if it's not already done
2. **Sign up to Discord and introduce yourself** (don't be shy 🤗)
### Let's create my Hugging Face account
(If it's not already done) create an acco... | deep-rl-class/units/en/unit0/setup.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit0/setup.mdx",
"repo_id": "deep-rl-class",
"token_count": 389
} | 165 |
import time
from functools import partial
from huggingface_hub import HfApi, hf_hub_url
from huggingface_hub.hf_api import RepoFile
from packaging import version
from requests import ConnectionError, HTTPError
from .. import config
from . import logging
logger = logging.get_logger(__name__)
# Retry `preupload_lfs_... | datasets/src/datasets/utils/hub.py/0 | {
"file_path": "datasets/src/datasets/utils/hub.py",
"repo_id": "datasets",
"token_count": 1118
} | 143 |
import { test } from "@jest/globals";
import { GooglePaLM } from "../googlepalm.js";
test("Google Palm - `temperature` must be in range [0.0,1.0]", async () => {
expect(
() =>
new GooglePaLM({
temperature: -1.0,
})
).toThrow();
expect(
() =>
new GooglePaLM({
temperature:... | langchainjs/libs/langchain-community/src/llms/tests/googlepalm.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/googlepalm.test.ts",
"repo_id": "langchainjs",
"token_count": 718
} | 1,028 |
# coding=utf-8
# Copyright 2023 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/seamless_m4t/test_feature_extraction_seamless_m4t.py/0 | {
"file_path": "transformers/tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 5810
} | 821 |
use candle::Result;
/// This is a wrapper around a tokenizer to ensure that tokens can be returned to the user in a
/// streaming way rather than having to wait for the full decoding.
pub struct TokenOutputStream {
tokenizer: tokenizers::Tokenizer,
tokens: Vec<u32>,
prev_index: usize,
current_index: us... | candle/candle-examples/src/token_output_stream.rs/0 | {
"file_path": "candle/candle-examples/src/token_output_stream.rs",
"repo_id": "candle",
"token_count": 1294
} | 52 |
// 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/expr/ITypeExpr.h/0 | {
"file_path": "milvus/internal/core/src/expr/ITypeExpr.h",
"repo_id": "milvus",
"token_count": 7435
} | 1,737 |
"""Simple reader that reads weather data from OpenWeatherMap API"""
from __future__ import annotations
from datetime import datetime
from typing import Iterator, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_comm... | langchain/libs/community/langchain_community/document_loaders/weather.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/weather.py",
"repo_id": "langchain",
"token_count": 601
} | 252 |
# coding=utf-8
# Copyright 2021 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/utils/test_image_utils.py/0 | {
"file_path": "transformers/tests/utils/test_image_utils.py",
"repo_id": "transformers",
"token_count": 13075
} | 842 |
import re
from typing import Any, List, Optional, Sequence, Tuple
from langchain_core._api import deprecated
from langchain_core.agents import AgentAction
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptT... | langchain/libs/langchain/langchain/agents/structured_chat/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/structured_chat/base.py",
"repo_id": "langchain",
"token_count": 4258
} | 471 |
import tokenizers
from argparse import ArgumentParser
import sentencepiece as spm
from collections import Counter
import json
import os
import datetime
try:
from termcolor import colored
has_color = True
except Exception:
has_color = False
def main():
parser = ArgumentParser("SentencePiece parity ch... | tokenizers/bindings/python/scripts/spm_parity_check.py/0 | {
"file_path": "tokenizers/bindings/python/scripts/spm_parity_check.py",
"repo_id": "tokenizers",
"token_count": 4295
} | 449 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,678 |
<jupyter_start><jupyter_text>Multi-Player Dungeons & DragonsThis notebook shows how the `DialogueAgent` and `DialogueSimulator` class make it easy to extend the [Two-Player Dungeons & Dragons example](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) to multiple players.The main di... | langchain/cookbook/multi_player_dnd.ipynb/0 | {
"file_path": "langchain/cookbook/multi_player_dnd.ipynb",
"repo_id": "langchain",
"token_count": 3986
} | 79 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/usage_guides/megatron_lm.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/megatron_lm.md",
"repo_id": "accelerate",
"token_count": 9556
} | 4 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,705 |
from dataclasses import dataclass
from typing import Optional, Tuple
import torch
from torch import nn
from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
from transformers.utils import ModelOutput
@dataclass
class TransformationModelOutput(ModelOutput):
"""
Base class for text... | diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/modeling_roberta_series.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/alt_diffusion/modeling_roberta_series.py",
"repo_id": "diffusers",
"token_count": 2332
} | 247 |
{
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start"
},
"dependencies": {
"@emotion/react": "^11.10.6",
"@emotion/server": "^11.10.0",
"@json2csv/plainjs": "^6.1.3",
"@mantine/core": "^6.0.4",
"@mantine/dropzone": "^6.0.6",
"@mantine... | auto-evaluator/nextjs/package.json/0 | {
"file_path": "auto-evaluator/nextjs/package.json",
"repo_id": "auto-evaluator",
"token_count": 687
} | 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 applicabl... | trl/trl/models/modeling_value_head.py/0 | {
"file_path": "trl/trl/models/modeling_value_head.py",
"repo_id": "trl",
"token_count": 7975
} | 864 |
from langchain_community.agent_toolkits.sql.base import create_sql_agent
__all__ = ["create_sql_agent"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/sql/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/sql/base.py",
"repo_id": "langchain",
"token_count": 35
} | 448 |
search_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/cluster/sift_50m_128_l2_sq8
cache_config.cpu_cache_capacity: 64GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 200
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/debug_gpu_search.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/debug_gpu_search.yaml",
"repo_id": "milvus",
"token_count": 449
} | 1,872 |
<!--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/zh/multilingual.md/0 | {
"file_path": "transformers/docs/source/zh/multilingual.md",
"repo_id": "transformers",
"token_count": 4319
} | 538 |
from langchain_community.vectorstores.zilliz import Zilliz
__all__ = ["Zilliz"]
| langchain/libs/langchain/langchain/vectorstores/zilliz.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/zilliz.py",
"repo_id": "langchain",
"token_count": 28
} | 611 |
CREATE TABLE table3 (
name TEXT PRIMARY KEY
);
| chroma/chromadb/test/db/migrations/00003-migration-3.sqlite.sql/0 | {
"file_path": "chroma/chromadb/test/db/migrations/00003-migration-3.sqlite.sql",
"repo_id": "chroma",
"token_count": 19
} | 23 |
import argparse
import sys
sys.path.append(".")
from base_classes import LCMLoRATextToImageBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="stabilityai/stable-diffusion-xl-base-1.0",
)
pars... | diffusers/benchmarks/benchmark_t2i_lcm_lora.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_t2i_lcm_lora.py",
"repo_id": "diffusers",
"token_count": 273
} | 175 |
<!--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/training/lcm_distill.md/0 | {
"file_path": "diffusers/docs/source/en/training/lcm_distill.md",
"repo_id": "diffusers",
"token_count": 4582
} | 187 |
<jupyter_start><jupyter_text>TextGen[GitHub:oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.This example goes over how to use LangChain to interact with LLM models via the `tex... | langchain/docs/docs/integrations/llms/textgen.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/textgen.ipynb",
"repo_id": "langchain",
"token_count": 750
} | 122 |
import asyncio
import threading
from collections import defaultdict
from functools import partial
from itertools import groupby
from typing import (
Any,
Awaitable,
Callable,
DefaultDict,
Dict,
List,
Mapping,
Optional,
Sequence,
Type,
TypeVar,
Union,
)
from langchain_cor... | langchain/libs/core/langchain_core/beta/runnables/context.py/0 | {
"file_path": "langchain/libs/core/langchain_core/beta/runnables/context.py",
"repo_id": "langchain",
"token_count": 4803
} | 420 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,520 |
from llama_index.legacy.storage.index_store.firestore_indexstore import FirestoreKVStore
from llama_index.legacy.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.legacy.storage.index_store.mongo_index_store import MongoIndexStore
from llama_index.legacy.storage.index_store.redis_index_store i... | llama_index/llama-index-legacy/llama_index/legacy/storage/index_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/index_store/__init__.py",
"repo_id": "llama_index",
"token_count": 191
} | 1,644 |
# Airbyte Shopify Loader
The Airbyte Shopify Loader allows you to access different Shopify objects.
## Installation
- Install llama_hub: `pip install llama_hub`
- Install the shopify source: `pip install airbyte-source-shopify`
## Usage
Here's an example usage of the AirbyteShopifyReader.
```python
from llama_hub... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/README.md",
"repo_id": "llama_index",
"token_count": 882
} | 1,327 |
"""
This is an API to support the LLM QA chain auto-evaluator.
"""
import io
import os
from dotenv import load_dotenv
import sentry_sdk
import json
import time
import pypdf
import random
import logging
import itertools
import faiss
import pandas as pd
from typing import Dict, List
from json import JSONDecodeError
fro... | auto-evaluator/api/evaluator_app.py/0 | {
"file_path": "auto-evaluator/api/evaluator_app.py",
"repo_id": "auto-evaluator",
"token_count": 7044
} | 1 |
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use std::marker::PhantomData;
use std::sync::{Arc, Mutex};
mod iterators;
mod normalization;
mod pretokenization;
mod regex;
pub use iterators::*;
pub use normalization::*;
pub use pretokenization::*;
pub use regex::*;
// PyChar
// This type is a tempor... | tokenizers/bindings/python/src/utils/mod.rs/0 | {
"file_path": "tokenizers/bindings/python/src/utils/mod.rs",
"repo_id": "tokenizers",
"token_count": 1057
} | 466 |
package proxy
import (
"context"
"strings"
"testing"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/assert"
"google.golang.org/grpc/metadata"
"github.com/milvus-io/milvus/internal/mocks"
"github.com/milvus-io/milvus/pkg/util"
"github.com/milvus-io/milvus/pkg/util/crypto"
"github.com/milvus-io... | milvus/internal/proxy/authentication_interceptor_test.go/0 | {
"file_path": "milvus/internal/proxy/authentication_interceptor_test.go",
"repo_id": "milvus",
"token_count": 1628
} | 1,812 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/llama_index/embeddings/fastembed/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/llama_index/embeddings/fastembed/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,228 |
# Usage Pattern
The usage pattern guide covers setup + usage of the `QueryPipeline` more in-depth.
## Setting up a Pipeline
Here we walk through a few different ways of setting up a query pipeline.
### Defining a Sequential Chain
Some simple pipelines are purely linear in nature - the output of the previous module... | llama_index/docs/module_guides/querying/pipeline/usage_pattern.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/pipeline/usage_pattern.md",
"repo_id": "llama_index",
"token_count": 2051
} | 1,181 |
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