text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.chat_message_histories.cosmos_db import (
CosmosDBChatMessageHistory,
)
__all__ = ["CosmosDBChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py",
"repo_id": "langchain",
"token_count": 46
} | 519 |
"""Index registry."""
from typing import Dict, Type
from llama_index.legacy.data_structs.data_structs import (
KG,
EmptyIndexStruct,
IndexDict,
IndexGraph,
IndexList,
IndexStruct,
KeywordTable,
MultiModelIndexDict,
)
from llama_index.legacy.data_structs.document_summary import IndexDoc... | llama_index/llama-index-legacy/llama_index/legacy/data_structs/registry.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/data_structs/registry.py",
"repo_id": "llama_index",
"token_count": 376
} | 1,507 |
<!--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/ko/accelerate.md/0 | {
"file_path": "transformers/docs/source/ko/accelerate.md",
"repo_id": "transformers",
"token_count": 2885
} | 528 |
<jupyter_start><jupyter_text>Hybrid Fusion Retriever PackThis LlamaPack provides an example of our hybrid fusion retriever pack.<jupyter_code>!pip install llama-index llama-hub rank-bm25
import nest_asyncio
nest_asyncio.apply()<jupyter_output><empty_output><jupyter_text>Setup Data<jupyter_code>!wget "https://www.dropb... | llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/hybrid_fusion.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/hybrid_fusion/hybrid_fusion.ipynb",
"repo_id": "llama_index",
"token_count": 625
} | 1,786 |
"""Module contains a PDF parser based on Document AI from Google Cloud.
You need to install two libraries to use this parser:
pip install google-cloud-documentai
pip install google-cloud-documentai-toolbox
"""
import logging
import re
import time
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iter... | langchain/libs/community/langchain_community/document_loaders/parsers/docai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/docai.py",
"repo_id": "langchain",
"token_count": 7073
} | 243 |
<jupyter_start><jupyter_text>Custom LLMThis notebook goes over how to create a custom LLM wrapper, in case you want to use your own LLM or a different wrapper than one that is supported in LangChain.There are only two required things that a custom LLM needs to implement:- A `_call` method that takes in a string, some o... | langchain/docs/docs/modules/model_io/llms/custom_llm.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/llms/custom_llm.ipynb",
"repo_id": "langchain",
"token_count": 612
} | 211 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/funnel.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/funnel.md",
"repo_id": "transformers",
"token_count": 1879
} | 490 |
// 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/show_collection_task_test.go/0 | {
"file_path": "milvus/internal/rootcoord/show_collection_task_test.go",
"repo_id": "milvus",
"token_count": 1110
} | 1,781 |
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { AIMessage, BaseMessage } from "@langchain/core/messages";
import { ChatResult, ChatGeneration } from "@langchain/core/outputs";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
import { getEnvironmentVaria... | langchainjs/libs/langchain-community/src/chat_models/yandex.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/yandex.ts",
"repo_id": "langchainjs",
"token_count": 1454
} | 965 |
# RaycastAI
> **Note:** This is a community-built integration and is not officially supported by Raycast.
You can utilize the LangChain's RaycastAI class within the [Raycast Environment](https://developers.raycast.com/api-reference/ai) to enhance your Raycast extension with Langchain's capabilities.
- The RaycastAI ... | langchainjs/docs/core_docs/docs/integrations/llms/raycast.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/raycast.mdx",
"repo_id": "langchainjs",
"token_count": 332
} | 738 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-txtai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-txtai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,452 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "callbacks",
newEntrypointName: "callbacks/base",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/callbacks/base";
| langchainjs/langchain/src/callbacks/base.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/base.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 886 |
#!/usr/bin/env bash
# Use this script as follows ./download_from_gcp.sh /path/to/folder/to/store/downloads
folder_to_store_downloads=${1}
# Replace by gcp_path to T5 cloud bucket folder here
# To download the official `t5-small` model of https://github.com/google-research/text-to-text-transfer-transformer#released-mod... | transformers/src/transformers/models/t5/download_from_gcp.sh/0 | {
"file_path": "transformers/src/transformers/models/t5/download_from_gcp.sh",
"repo_id": "transformers",
"token_count": 579
} | 685 |
from langchain_community.llms import Replicate
from langchain_core.prompts import ChatPromptTemplate
# LLM
replicate_id = "andreasjansson/llama-2-13b-chat-gguf:60ec5dda9ff9ee0b6f786c9d1157842e6ab3cc931139ad98fe99e08a35c5d4d4" # noqa: E501
model = Replicate(
model=replicate_id,
model_kwargs={"temperature": 0.8... | langchain/templates/llama2-functions/llama2_functions/chain.py/0 | {
"file_path": "langchain/templates/llama2-functions/llama2_functions/chain.py",
"repo_id": "langchain",
"token_count": 521
} | 658 |
import { InputValues, MemoryVariables } from "@langchain/core/memory";
import { getBufferString } from "@langchain/core/messages";
import {
BaseChatMemory,
BaseChatMemoryInput,
} from "@langchain/community/memory/chat_memory";
/**
* Interface for the input parameters of the BufferWindowMemory class.
*/
export in... | langchainjs/langchain/src/memory/buffer_window_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/buffer_window_memory.ts",
"repo_id": "langchainjs",
"token_count": 1019
} | 998 |
import json
from typing import Optional, Type
from langchain_core.callbacks import AsyncCallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.ainetwork.base import AINBaseTool
class TransferSchema(BaseModel):
"""Schema for transfer operations."""
a... | langchain/libs/community/langchain_community/tools/ainetwork/transfer.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/ainetwork/transfer.py",
"repo_id": "langchain",
"token_count": 391
} | 282 |
package proxy
import (
"context"
"fmt"
"io"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"go.opentelemetry.io/otel"
"go.uber.org/atomic"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-... | milvus/internal/proxy/task_delete.go/0 | {
"file_path": "milvus/internal/proxy/task_delete.go",
"repo_id": "milvus",
"token_count": 6711
} | 1,745 |
[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 = ["MacrometaGDNReader"]
contains_example = false
import_path = "llama_index.readers.macromet... | llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml",
"repo_id": "llama_index",
"token_count": 666
} | 1,473 |
import multiprocessing
import numbers
import random
import numpy
import threading
import pytest
import pandas as pd
import decimal
from decimal import Decimal, getcontext
from time import sleep
import heapq
from base.client_base import TestcaseBase
from utils.util_log import test_log as log
from common import common_f... | milvus/tests/python_client/milvus_client/test_milvus_client_search.py/0 | {
"file_path": "milvus/tests/python_client/milvus_client/test_milvus_client_search.py",
"repo_id": "milvus",
"token_count": 11239
} | 2,184 |
# Intercom Loader
This loader fetches the text from Intercom help articles using the Intercom API. It also uses the BeautifulSoup library to parse the HTML and extract the text from the articles.
## Usage
To use this loader, you need to pass in an Intercom account access token.
```python
from llama_index import dow... | llama_index/llama-index-integrations/readers/llama-index-readers-intercom/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-intercom/README.md",
"repo_id": "llama_index",
"token_count": 235
} | 1,415 |
from google.protobuf.internal import containers as _containers
from google.protobuf.internal import enum_type_wrapper as _enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from typing import ClassVar as _ClassVar, Iterable as _Iterable, Mapping as _M... | chroma/chromadb/proto/chroma_pb2.pyi/0 | {
"file_path": "chroma/chromadb/proto/chroma_pb2.pyi",
"repo_id": "chroma",
"token_count": 3349
} | 19 |
# langchain-nvidia-trt
| langchain/libs/partners/nvidia-trt/README.md/0 | {
"file_path": "langchain/libs/partners/nvidia-trt/README.md",
"repo_id": "langchain",
"token_count": 10
} | 633 |
"""Utilities to init Vertex AI."""
import dataclasses
from importlib import metadata
from typing import Any, Callable, Dict, Optional, Union
import google.api_core
import proto # type: ignore[import-untyped]
from google.api_core.gapic_v1.client_info import ClientInfo
from google.cloud import storage # type: ignore[... | langchain/libs/partners/google-vertexai/langchain_google_vertexai/_utils.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/langchain_google_vertexai/_utils.py",
"repo_id": "langchain",
"token_count": 1834
} | 623 |
"""Jira Tool."""
| langchain/libs/langchain/langchain/tools/jira/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/jira/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 555 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 589,
"logprob": null,
"text": "def"
},
{
"id": 3226,
"logprob": -8.5859375,
"text": " ge"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq_load.json",
"repo_id": "text-generation-inference",
"token_count": 7553
} | 426 |
{
"compilerOptions": {
"target": "ES2020",
"useDefineForClassFields": true,
"lib": ["ES2020", "DOM", "DOM.Iterable"],
"module": "ESNext",
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"resolveJsonModule": true,
"iso... | opengpts/frontend/tsconfig.json/0 | {
"file_path": "opengpts/frontend/tsconfig.json",
"repo_id": "opengpts",
"token_count": 258
} | 2,061 |
# 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/bros/convert_bros_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/bros/convert_bros_to_pytorch.py",
"repo_id": "transformers",
"token_count": 2040
} | 616 |
// 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/alter_collection_task.go/0 | {
"file_path": "milvus/internal/rootcoord/alter_collection_task.go",
"repo_id": "milvus",
"token_count": 1011
} | 1,859 |
from extraction_anthropic_functions.chain import chain
__all__ = ["chain"]
| langchain/templates/extraction-anthropic-functions/extraction_anthropic_functions/__init__.py/0 | {
"file_path": "langchain/templates/extraction-anthropic-functions/extraction_anthropic_functions/__init__.py",
"repo_id": "langchain",
"token_count": 22
} | 635 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_128_ip_hnsw
cache_config.cpu_cache_capacity: 8GB
gpu_resource_config.enable: false
collection_name: sift_10m_128_ip
index_type: hnsw
index_param:
M: 48
... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_build_hnsw.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_build_hnsw.yaml",
"repo_id": "milvus",
"token_count": 167
} | 1,999 |
# 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_base.py/0 | {
"file_path": "trl/trl/models/modeling_base.py",
"repo_id": "trl",
"token_count": 13121
} | 887 |
# candle-t5
## Encoder-decoder example:
```bash
$ cargo run --example t5 --release -- --model-id "t5-small" --prompt "translate to German: A beautiful candle." --decode
...
Eine schรถne Kerze.
9 tokens generated (2.42 token/s)
```
Variants such as [flan-t5](https://huggingface.co/google/flan-t5-small), [flan-ul2](ht... | candle/candle-examples/examples/t5/README.md/0 | {
"file_path": "candle/candle-examples/examples/t5/README.md",
"repo_id": "candle",
"token_count": 608
} | 44 |
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE en-export SYSTEM "http://xml.evernote.com/pub/evernote-export4.dtd">
<en-export export-date="20230611T011239Z" application="Evernote" version="10.56.9">
<note>
<title>Summer Training Program</title>
<created>20221227T015948Z</created>
<source>... | langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/sample_notebook_emptynote.enex/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/sample_notebook_emptynote.enex",
"repo_id": "langchain",
"token_count": 230
} | 399 |
from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_core.pydantic_v1 import BaseModel, Field, Secret... | langchain/libs/community/langchain_community/llms/volcengine_maas.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/volcengine_maas.py",
"repo_id": "langchain",
"token_count": 2801
} | 283 |
<jupyter_start><jupyter_text>OpenLLM[๐ฆพ OpenLLM](https://github.com/bentoml/OpenLLM) is an open platform for operating large language models (LLMs) in production. It enables developers to easily run inference with any open-source LLMs, deploy to the cloud or on-premises, and build powerful AI apps. InstallationInstall... | langchain/docs/docs/integrations/llms/openllm.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/openllm.ipynb",
"repo_id": "langchain",
"token_count": 615
} | 129 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/schedulers/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 555
} | 255 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_timestamp_index.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_timestamp_index.cpp",
"repo_id": "milvus",
"token_count": 805
} | 1,822 |
import {
AssemblyAI,
BaseServiceParams,
TranscribeParams,
SubtitleFormat,
Transcript,
TranscriptParagraph,
TranscriptSentence,
CreateTranscriptParameters,
} from "assemblyai";
import { Document } from "@langchain/core/documents";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import... | langchainjs/langchain/src/document_loaders/web/assemblyai.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/assemblyai.ts",
"repo_id": "langchainjs",
"token_count": 2417
} | 870 |
import argparse
import logging
import os
import random
import sys
import numpy as np
import torch
from datasets import load_from_disk, load_metric
from transformers import AutoModelForSequenceClassification, AutoTokenizer, Trainer, TrainingArguments
from transformers.trainer_utils import get_last_checkpoint
if __name... | notebooks/sagemaker/14_train_and_push_to_hub/scripts/train.py/0 | {
"file_path": "notebooks/sagemaker/14_train_and_push_to_hub/scripts/train.py",
"repo_id": "notebooks",
"token_count": 1998
} | 315 |
from langchain_community.llms.clarifai import Clarifai
__all__ = ["Clarifai"]
| langchain/libs/langchain/langchain/llms/clarifai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/clarifai.py",
"repo_id": "langchain",
"token_count": 29
} | 559 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/logging.py/0 | {
"file_path": "accelerate/src/accelerate/logging.py",
"repo_id": "accelerate",
"token_count": 1789
} | 10 |
import { AIMessage } from "@langchain/core/messages";
import { StringOutputParser } from "@langchain/core/output_parsers";
const outputParser = new StringOutputParser();
const message = new AIMessage(
'Sure, here you go: Why did the ice cream go to school? Because it wanted to get a little "sundae" education!'
);
co... | langchainjs/examples/src/guides/expression_language/get_started/output_parser.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/get_started/output_parser.ts",
"repo_id": "langchainjs",
"token_count": 146
} | 820 |
from langchain_community.llms.bananadev import Banana
__all__ = ["Banana"]
| langchain/libs/langchain/langchain/llms/bananadev.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/bananadev.py",
"repo_id": "langchain",
"token_count": 26
} | 558 |
import multiprocessing
import numbers
import random
import numpy
import threading
import pytest
import pandas as pd
import decimal
from decimal import Decimal, getcontext
from time import sleep
import heapq
from base.client_base import TestcaseBase
from utils.util_log import test_log as log
from common import common_f... | milvus/tests/python_client/testcases/test_high_level_api.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_high_level_api.py",
"repo_id": "milvus",
"token_count": 7814
} | 2,007 |
"""Init file."""
| llama_index/llama-index-legacy/tests/playground/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/playground/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,752 |
"""Client server that interacts with the main server via a remote runnable.
This server sets up a simple proxy to the main server. It uses the RemoteRunnable
to interact with the main server. The main server is expected to be running at
http://localhost:8123.
A client server will likely end up doing something more cl... | langserve/examples/multiple_servers/client_server.py/0 | {
"file_path": "langserve/examples/multiple_servers/client_server.py",
"repo_id": "langserve",
"token_count": 298
} | 1,126 |
# Google Vertex AI
Langchain.js supports two different authentication methods based on whether
you're running in a Node.js environment or a web environment.
## Setup
### Node.js
To call Vertex AI models in Node, you'll need to install [Google's official auth client](https://www.npmjs.com/package/google-auth-library... | langchainjs/docs/core_docs/docs/integrations/llms/google_vertex_ai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/google_vertex_ai.mdx",
"repo_id": "langchainjs",
"token_count": 928
} | 763 |
## ็ณป็ป้
็ฝฎ
Milvus ่ฝๅค้่ฟ้
็ฝฎๆไปถใๅฝไปค่ก้้กนใ็ฏๅขๅ้่ฟ่ก้
็ฝฎใ
ไผๅ
็บง้กบๅบ๏ผ ๅฝไปค่ก้้กน > ็ฏๅขๅ้ > ้
็ฝฎๆไปถ > ้ป่ฎคๅผ
ๅฆๆๆไพไบ้
็ฝฎๆไปถ๏ผๅๅ
ถไป็ๅฝไปค่ก้้กนๅ็ฏๅขๅ้้ฝๅฐ่ขซๅฟฝ็ฅใ
ไพๅฆ๏ผ `milvus run rootcoord --config-file milvus.yaml --log-level debug` ๅฐๅฟฝ็ฅ `--log-level` ้้กนใ
### ่ฏญๆณ
ๅจๆงๅถๅฐไธญไฝฟ็จไปฅไธ่ฏญๆณ่ฟ่ก `milvus` ๅฝไปค๏ผ
```shell
$ milvus [command] [server type] [flags]
```
ไพๅฆ๏ผ
```shell
$ MILVUS_CONFI... | milvus/docs/developer_guides/appendix_c_system_configurations.md/0 | {
"file_path": "milvus/docs/developer_guides/appendix_c_system_configurations.md",
"repo_id": "milvus",
"token_count": 3350
} | 1,724 |
python_sources()
| llama_index/llama-index-core/llama_index/core/indices/keyword_table/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/keyword_table/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,122 |
from abc import ABC, abstractmethod
from typing import Iterator, List
from langchain_core.chat_sessions import ChatSession
class BaseChatLoader(ABC):
"""Base class for chat loaders."""
@abstractmethod
def lazy_load(self) -> Iterator[ChatSession]:
"""Lazy load the chat sessions."""
def load(... | langchain/libs/community/langchain_community/chat_loaders/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_loaders/base.py",
"repo_id": "langchain",
"token_count": 150
} | 238 |
from langchain_community.chat_models.cohere import (
ChatCohere,
)
__all__ = ["ChatCohere"]
| langchain/libs/langchain/langchain/chat_models/cohere.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/cohere.py",
"repo_id": "langchain",
"token_count": 36
} | 473 |
<jupyter_start><jupyter_text>Accelerate BERT Inference with Hugging Face Transformers and AWS inferentia In this end-to-end tutorial, you will learn how to speed up BERT inference for text classification with Hugging Face Transformers, Amazon SageMaker, and AWS Inferentia. You will learn how to: 1. Convert your Hugging... | notebooks/sagemaker/18_inferentia_inference/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/18_inferentia_inference/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 3902
} | 313 |
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.tools import BaseTool
from langchain_community.utilities.polygon import PolygonAPIWrapper
class Inputs(BaseModel):
"""Inputs for Polygon's Last Qu... | langchain/libs/community/langchain_community/tools/polygon/last_quote.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/polygon/last_quote.py",
"repo_id": "langchain",
"token_count": 380
} | 293 |
from langchain_community.document_loaders.parsers.html.bs4 import BS4HTMLParser
__all__ = ["BS4HTMLParser"]
| langchain/libs/community/langchain_community/document_loaders/parsers/html/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/html/__init__.py",
"repo_id": "langchain",
"token_count": 37
} | 262 |
use super::common::{AttnBlock, ResBlock, TimestepBlock};
use candle::{DType, Result, Tensor, D};
use candle_nn::VarBuilder;
#[derive(Debug)]
struct Block {
res_block: ResBlock,
ts_block: TimestepBlock,
attn_block: AttnBlock,
}
#[derive(Debug)]
pub struct WPrior {
projection: candle_nn::Conv2d,
con... | candle/candle-transformers/src/models/wuerstchen/prior.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/prior.rs",
"repo_id": "candle",
"token_count": 1920
} | 70 |
import {
AttributeFilter,
DocumentAttribute,
DocumentAttributeValue,
KendraClient,
KendraClientConfig,
QueryCommand,
QueryCommandOutput,
QueryResultItem,
RetrieveCommand,
RetrieveCommandOutput,
RetrieveResultItem,
} from "@aws-sdk/client-kendra";
import { BaseRetriever } from "@langchain/core/ret... | langchainjs/libs/langchain-community/src/retrievers/amazon_kendra.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/amazon_kendra.ts",
"repo_id": "langchainjs",
"token_count": 3188
} | 989 |
# coding=utf-8
# Copyright 2020 Ecole Polytechnique and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | transformers/src/transformers/models/barthez/tokenization_barthez.py/0 | {
"file_path": "transformers/src/transformers/models/barthez/tokenization_barthez.py",
"repo_id": "transformers",
"token_count": 5451
} | 583 |
# Agents
You can pass a Runnable into an agent.
Building an agent from a runnable usually involves a few things:
1. Data processing for the intermediate steps (`agent_scratchpad`). These need to represented in a way that the language model can recognize them. This should be pretty tightly coupled to the instructions... | langchainjs/docs/core_docs/docs/expression_language/cookbook/agents.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/cookbook/agents.mdx",
"repo_id": "langchainjs",
"token_count": 1265
} | 716 |
import gradientai as gradientai_mod
import pytest
from llama_index.embeddings.gradient import GradientEmbedding
# TODO: fixed these tests
gradientai = None
@pytest.fixture()
def gradient_host() -> str:
return "https://api.gradient.ai/"
@pytest.fixture()
def gradient_model_slug() -> str:
return "bge-large"
... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/tests/test_embeddings_gradient.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/tests/test_embeddings_gradient.py",
"repo_id": "llama_index",
"token_count": 1656
} | 1,309 |
import { Replicate } from "@langchain/community/llms/replicate";
const model = new Replicate({
model:
"a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
});
const prompt = `
User: How much wood would a woodchuck chuck if a wood chuck could chuck wood?
Assistant:`;
c... | langchainjs/examples/src/models/llm/replicate_llama2.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/replicate_llama2.ts",
"repo_id": "langchainjs",
"token_count": 296
} | 905 |
from typing import List
from unittest.mock import patch
from llama_index.legacy.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.legacy.schema import Document, QueryBundle
from llama_index.legacy.service_context import ServiceContext
from tests.mock_utils.mock_utils import mo... | llama_index/llama-index-legacy/tests/indices/keyword_table/test_retrievers.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/keyword_table/test_retrievers.py",
"repo_id": "llama_index",
"token_count": 407
} | 1,630 |
"""Interface to access to place that stores documents."""
from abc import ABC, abstractmethod
from typing import Dict, List, Union
from langchain_core.documents import Document
class Docstore(ABC):
"""Interface to access to place that stores documents."""
@abstractmethod
def search(self, search: str) ->... | langchain/libs/community/langchain_community/docstore/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/docstore/base.py",
"repo_id": "langchain",
"token_count": 273
} | 229 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class OnnxRuntimeModel(metaclass=DummyObject):
_backends = ["onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["onnx"])
@classmethod
def from_conf... | diffusers/src/diffusers/utils/dummy_onnx_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_onnx_objects.py",
"repo_id": "diffusers",
"token_count": 202
} | 280 |
from llama_index.tools.neo4j.base import Neo4jQueryToolSpec
__all__ = ["Neo4jQueryToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/llama_index/tools/neo4j/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-neo4j/llama_index/tools/neo4j/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,445 |
# rag-ollama-multi-query
This template performs RAG using Ollama and OpenAI with a multi-query retriever.
The multi-query retriever is an example of query transformation, generating multiple queries from different perspectives based on the user's input query.
For each query, it retrieves a set of relevant documen... | langchain/templates/rag-ollama-multi-query/README.md/0 | {
"file_path": "langchain/templates/rag-ollama-multi-query/README.md",
"repo_id": "langchain",
"token_count": 900
} | 723 |
from __future__ import annotations
import uuid
from typing import Any, Iterable, List, Optional
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
class LanceDB(VectorStore):
"""`LanceDB` vector store.
To use, y... | langchain/libs/community/langchain_community/vectorstores/lancedb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/lancedb.py",
"repo_id": "langchain",
"token_count": 1988
} | 332 |
// 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/storage/DiskFileManagerImpl.h/0 | {
"file_path": "milvus/internal/core/src/storage/DiskFileManagerImpl.h",
"repo_id": "milvus",
"token_count": 1637
} | 1,672 |
# Chaos Tests
## Goal
Chaos tests are designed to check the reliability of Milvus.
For instance, if one pod is killed:
- verify that it restarts automatically
- verify that the related operation fails, while the other operations keep working successfully during the absence of the pod
- verify that all the op... | milvus/tests/python_client/chaos/README.md/0 | {
"file_path": "milvus/tests/python_client/chaos/README.md",
"repo_id": "milvus",
"token_count": 1210
} | 1,963 |
.. _Ref-Example-Notebooks:
Example Notebooks
=================
We offer a wide variety of example notebooks. They are referenced throughout the documentation.
Example notebooks are found `here <https://github.com/jerryjliu/llama_index/tree/main/docs/examples>`_.
| llama_index/docs/api_reference/example_notebooks.rst/0 | {
"file_path": "llama_index/docs/api_reference/example_notebooks.rst",
"repo_id": "llama_index",
"token_count": 73
} | 1,079 |
from llama_index.readers.discord.base import DiscordReader
__all__ = ["DiscordReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-discord/llama_index/readers/discord/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-discord/llama_index/readers/discord/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,339 |
{
"name": "langchain-template-supabase",
"version": "0.1.0",
"private": true,
"scripts": {
"supabase:start": "supabase start",
"supabase:stop": "supabase stop",
"supabase:dev": "supabase functions serve --env-file supabase/.env",
"supabase:deploy": "supabase secrets set --env-file ./supabase/.en... | langchain-template-supabase/package.json/0 | {
"file_path": "langchain-template-supabase/package.json",
"repo_id": "langchain-template-supabase",
"token_count": 478
} | 69 |
<jupyter_start><jupyter_text>Time-weighted vector store retrieverThis retriever uses a combination of semantic similarity and a time decay.The algorithm for scoring them is:```semantic_similarity + (1.0 - decay_rate) ^ hours_passed```Notably, `hours_passed` refers to the hours passed since the object in the retriever *... | langchain/docs/docs/modules/data_connection/retrievers/time_weighted_vectorstore.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/time_weighted_vectorstore.ipynb",
"repo_id": "langchain",
"token_count": 1027
} | 193 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mockrootcoord
import (
context "context"
etcdpb "github.com/milvus-io/milvus/internal/proto/etcdpb"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
mock "github.com/str... | milvus/internal/rootcoord/mocks/meta_table.go/0 | {
"file_path": "milvus/internal/rootcoord/mocks/meta_table.go",
"repo_id": "milvus",
"token_count": 27246
} | 1,921 |
"""Wrapper around Google VertexAI chat-based models."""
from __future__ import annotations
import base64
import json
import logging
import re
from dataclasses import dataclass, field
from typing import Any, Dict, Iterator, List, Optional, Union, cast
from urllib.parse import urlparse
import proto # type: ignore[impo... | langchain/libs/partners/google-vertexai/langchain_google_vertexai/chat_models.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/langchain_google_vertexai/chat_models.py",
"repo_id": "langchain",
"token_count": 9602
} | 667 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py",
"repo_id": "diffusers",
"token_count": 788
} | 257 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 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/LI... | diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py",
"repo_id": "diffusers",
"token_count": 16362
} | 222 |
#![allow(unused)]
use super::GgmlDType;
use crate::{Error, MetalDevice, MetalStorage, Result};
pub struct QMetalStorage {
dtype: GgmlDType,
device: MetalDevice,
}
impl QMetalStorage {
pub fn zeros(_: &MetalDevice, _: usize, _: GgmlDType) -> Result<Self> {
Err(Error::NotCompiledWithMetalSupport)
... | candle/candle-core/src/quantized/dummy_metal.rs/0 | {
"file_path": "candle/candle-core/src/quantized/dummy_metal.rs",
"repo_id": "candle",
"token_count": 447
} | 37 |
try:
from guidance.models import Mock as MockLLM
except ImportError:
MockLLM = None # type: ignore
import pytest
from llama_index.legacy.output_parsers.base import OutputParserException
from llama_index.legacy.question_gen.guidance_generator import (
GuidanceQuestionGenerator,
)
from llama_index.legacy.sch... | llama_index/llama-index-legacy/tests/question_gen/test_guidance_generator.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/question_gen/test_guidance_generator.py",
"repo_id": "llama_index",
"token_count": 314
} | 1,646 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llava-completion/llama_index/packs/llava_completion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,663 |
package console
import (
"os"
)
func ExitWithOption(opts ...ExitOption) {
c := defaultExitConfig()
c.apply(opts...)
if c.abnormal {
Error(c.msg)
} else {
Success(c.msg)
}
c.runBeforeExit()
os.Exit(c.code)
}
func AbnormalExit(backupFinished bool, msg string, options ...ExitOption) {
opts := append([]Exit... | milvus/cmd/tools/migration/console/exit.go/0 | {
"file_path": "milvus/cmd/tools/migration/console/exit.go",
"repo_id": "milvus",
"token_count": 388
} | 1,756 |
---
sidebar_position: 5
title: Route between multiple runnables
---
# Route between multiple Runnables
This notebook covers how to do routing in the LangChain Expression Language.
Routing allows you to create non-deterministic chains where the output of a previous step defines the next step. Routing helps provide st... | langchainjs/docs/core_docs/docs/expression_language/how_to/routing.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/how_to/routing.mdx",
"repo_id": "langchainjs",
"token_count": 497
} | 695 |
# candle-examples
| candle/candle-examples/README.md/0 | {
"file_path": "candle/candle-examples/README.md",
"repo_id": "candle",
"token_count": 6
} | 46 |
import { TranscriptResponse, YoutubeTranscript } from "youtube-transcript";
import { Innertube } from "youtubei.js";
import { Document } from "@langchain/core/documents";
import { BaseDocumentLoader } from "../base.js";
/**
* Configuration options for the YoutubeLoader class. Includes properties
* such as the videoI... | langchainjs/langchain/src/document_loaders/web/youtube.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/youtube.ts",
"repo_id": "langchainjs",
"token_count": 1222
} | 873 |
""""Example LangChain Plugin."""
import json
import logging
import os
from typing import Optional, cast
import importlib
from importlib.machinery import SourceFileLoader
from pathlib import Path
import uvicorn
import yaml
from app.api import ConversationRequest, ConversationResponse
from fastapi import Body, Depends, ... | langchain-aiplugin/app/main.py/0 | {
"file_path": "langchain-aiplugin/app/main.py",
"repo_id": "langchain-aiplugin",
"token_count": 2007
} | 67 |
# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/pearsonr/pearsonr.py/0 | {
"file_path": "datasets/metrics/pearsonr/pearsonr.py",
"repo_id": "datasets",
"token_count": 1794
} | 133 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,400 |
export const CREATE_DRAFT_DESCRIPTION = `A tool for creating draft emails in Gmail.
INPUT example:
{
"message": "Hello, this is a test draft",
"to": ["example1@email.com", "example2@email.com"],
"subject": "Test Draft",
"cc": ["cc1@email.com"],
"bcc": ["bcc1@email.com"]
}
OUTPUT:
The output is a confirmatio... | langchainjs/libs/langchain-community/src/tools/gmail/descriptions.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/gmail/descriptions.ts",
"repo_id": "langchainjs",
"token_count": 1225
} | 1,014 |
from typing import Dict, Type
from llama_index.legacy.node_parser.file.html import HTMLNodeParser
from llama_index.legacy.node_parser.file.json import JSONNodeParser
from llama_index.legacy.node_parser.file.markdown import MarkdownNodeParser
from llama_index.legacy.node_parser.file.simple_file import SimpleFileNodePar... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/loading.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/loading.py",
"repo_id": "llama_index",
"token_count": 595
} | 1,507 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test } from "@jest/globals";
import { FigmaFileLoader } from "../web/figma.js";
test.skip("Test FigmaFileLoader", async () => {
const loader = new FigmaFileLoader({
accessToken: process.env.FIGMA_ACCESS_TOK... | langchainjs/langchain/src/document_loaders/tests/figma.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/figma.int.test.ts",
"repo_id": "langchainjs",
"token_count": 191
} | 906 |
# 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/efficientformer/configuration_efficientformer.py/0 | {
"file_path": "transformers/src/transformers/models/efficientformer/configuration_efficientformer.py",
"repo_id": "transformers",
"token_count": 3037
} | 628 |
# pip install openrlbenchmark==0.2.1a5
# see https://github.com/openrlbenchmark/openrlbenchmark#get-started for documentation
echo "we deal with $TAGS_STRING"
python -m openrlbenchmark.rlops_multi_metrics \
--filters '?we=huggingface&wpn=trl&xaxis=_step&ceik=trl_ppo_trainer_config.value.reward_model&cen=trl_ppo_tr... | trl/benchmark/benchmark_level1_plot.sh/0 | {
"file_path": "trl/benchmark/benchmark_level1_plot.sh",
"repo_id": "trl",
"token_count": 927
} | 851 |
# Unit Testing LLMs/RAG With DeepEval
[DeepEval](https://github.com/confident-ai/deepeval) provides unit testing for AI agents and LLM-powered applications. It provides a really simple interface for LlamaIndex users to write tests for LLM outputs and helps developers catch breaking changes in production.
DeepEval pro... | llama_index/docs/community/integrations/deepeval.md/0 | {
"file_path": "llama_index/docs/community/integrations/deepeval.md",
"repo_id": "llama_index",
"token_count": 1293
} | 1,088 |
from typing import Any, Dict, List, Optional
from langchain_core.utils import get_from_env
from langchain_community.graphs.graph_document import GraphDocument
from langchain_community.graphs.graph_store import GraphStore
node_properties_query = """
CALL apoc.meta.data()
YIELD label, other, elementType, type, propert... | langchain/libs/community/langchain_community/graphs/neo4j_graph.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/neo4j_graph.py",
"repo_id": "langchain",
"token_count": 4893
} | 272 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/research_projects/controlnetxs/controlnetxs.py/0 | {
"file_path": "diffusers/examples/research_projects/controlnetxs/controlnetxs.py",
"repo_id": "diffusers",
"token_count": 20494
} | 218 |
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
const text = `
---
sidebar_position: 1
---
# Document transformers
Once you've loaded documents, you'll often want to transform them to better suit your application. The simplest example
is you may want to split a long document into smaller chu... | langchainjs/examples/src/indexes/markdown_text_splitter.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/markdown_text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 1237
} | 781 |
# Rust builder
FROM lukemathwalker/cargo-chef:latest-rust-1.75 AS chef
WORKDIR /usr/src
ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
FROM chef as planner
COPY Cargo.toml Cargo.toml
COPY rust-toolchain.toml rust-toolchain.toml
COPY proto proto
COPY benchmark benchmark
COPY router router
COPY launcher launcher
RUN ca... | text-generation-inference/Dockerfile/0 | {
"file_path": "text-generation-inference/Dockerfile",
"repo_id": "text-generation-inference",
"token_count": 3372
} | 377 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/metrics/persistent_store_metrics.go/0 | {
"file_path": "milvus/pkg/metrics/persistent_store_metrics.go",
"repo_id": "milvus",
"token_count": 692
} | 1,820 |
from langchain_core.agents import AgentAction
from langchain_core.messages import AIMessage, HumanMessage
from langchain.agents.format_scratchpad.log_to_messages import format_log_to_messages
def test_single_intermediate_step_default_response() -> None:
intermediate_steps = [
(AgentAction(tool="Tool1", t... | langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_log_to_messages.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_log_to_messages.py",
"repo_id": "langchain",
"token_count": 685
} | 586 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#include <torch/extension.h>
#include <c10/cuda/CUDAGuard.h>
#include <ATen/cuda/CUDAContext.h>
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#include "util.cuh"
#include "tuning.h"
#include "cuda_buffers.cu... | text-generation-inference/server/exllama_kernels/exllama_kernels/exllama_ext.cpp/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/exllama_ext.cpp",
"repo_id": "text-generation-inference",
"token_count": 3279
} | 408 |
#!/usr/bin/env node
import { Command } from "commander";
import path from "node:path";
import { createEntrypoints } from "./create-entrypoints.js";
import { checkTreeShaking } from "./check-tree-shaking.js";
import { moveAndRename } from "./move-cjs-to-dist.js";
import type { LangChainConfig } from "./types.js";
impor... | langchainjs/libs/langchain-scripts/src/build.ts/0 | {
"file_path": "langchainjs/libs/langchain-scripts/src/build.ts",
"repo_id": "langchainjs",
"token_count": 1301
} | 985 |
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