text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>LangSmith Chat DatasetsThis notebook demonstrates an easy way to load a LangSmith chat dataset fine-tune a model on that data.The process is simple and comprises 3 steps.1. Create the chat dataset.2. Use the LangSmithDatasetChatLoader to load examples.3. Fine-tune your model.Then you can us... | langchain/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb",
"repo_id": "langchain",
"token_count": 1274
} | 94 |
"""Util that calls Google Scholar Search."""
from typing import Dict, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
class GoogleScholarAPIWrapper(BaseModel):
"""Wrapper for Google Scholar API
You can create serpapi key ... | langchain/libs/community/langchain_community/utilities/google_scholar.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/google_scholar.py",
"repo_id": "langchain",
"token_count": 2420
} | 327 |
// 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/mq/msgstream/unmarshal_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/unmarshal_test.go",
"repo_id": "milvus",
"token_count": 839
} | 1,821 |
<jupyter_start><jupyter_text>RAGatouille Retriever Llama Pack RAGatouille is a [cool library](https://github.com/bclavie/RAGatouille) that lets you use e.g. ColBERT and other SOTA retrieval models in your RAG pipeline. You can use it to either run inference on ColBERT, or use it to train/fine-tune models.This LlamaPack... | llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/examples/ragatouille_retriever.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ragatouille-retriever/examples/ragatouille_retriever.ipynb",
"repo_id": "llama_index",
"token_count": 1097
} | 1,722 |
import torch
import torch.distributed
from pathlib import Path
from typing import Optional, Type
from opentelemetry import trace
from transformers import AutoTokenizer, PretrainedConfig, PreTrainedTokenizerBase
from huggingface_hub import hf_hub_download
import json
from text_generation_server.models import CausalLM
... | text-generation-inference/server/text_generation_server/models/mpt.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/mpt.py",
"repo_id": "text-generation-inference",
"token_count": 1440
} | 444 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/utils/outputs.py/0 | {
"file_path": "diffusers/src/diffusers/utils/outputs.py",
"repo_id": "diffusers",
"token_count": 1817
} | 282 |
from typing import Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.core.base_selector import (
BaseSelector,
SelectorResult,
SingleSelection,
)
from llama_index.legacy.llm_predictor.base import LLMPredictorType
from llama_index.legacy.output_parsers.base import StructuredOutput
from llama... | llama_index/llama-index-legacy/llama_index/legacy/selectors/llm_selectors.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/selectors/llm_selectors.py",
"repo_id": "llama_index",
"token_count": 3218
} | 1,772 |
package dao
import (
"database/sql"
"go.uber.org/zap"
"gorm.io/gorm"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/pingcap/log"
)
type collectionDb struct {
db *gorm.DB
}
var _ dbmodel.ICollectionDb = &collectionDb{}
func (s *collectionDb) DeleteAll() error {
return s.db.... | chroma/go/coordinator/internal/metastore/db/dao/collection.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/collection.go",
"repo_id": "chroma",
"token_count": 1657
} | 45 |
# Composition
This notebook goes over how to compose multiple prompts together. This can be useful when you want to reuse parts of prompts. This can be done with a PipelinePrompt. A PipelinePrompt consists of two main parts:
- Final prompt: This is the final prompt that is returned
- Pipeline prompts: This is a list ... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/pipeline.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/pipeline.mdx",
"repo_id": "langchainjs",
"token_count": 159
} | 740 |
from __future__ import annotations
import os
import tempfile
from typing import TYPE_CHECKING, List, Optional, Union
from langchain_community.document_loaders.unstructured import UnstructuredBaseLoader
if TYPE_CHECKING:
import botocore
class S3FileLoader(UnstructuredBaseLoader):
"""Load from `Amazon AWS S3... | langchain/libs/community/langchain_community/document_loaders/s3_file.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/s3_file.py",
"repo_id": "langchain",
"token_count": 2220
} | 249 |
from typing import Any, Dict, List, Optional, Tuple, Union
class NeptuneQueryException(Exception):
"""Exception for the Neptune queries."""
def __init__(self, exception: Union[str, Dict]):
if isinstance(exception, dict):
self.message = exception["message"] if "message" in exception else "... | langchain/libs/community/langchain_community/graphs/neptune_graph.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/neptune_graph.py",
"repo_id": "langchain",
"token_count": 4539
} | 263 |
""" Visformer
Paper: Visformer: The Vision-friendly Transformer - https://arxiv.org/abs/2104.12533
From original at https://github.com/danczs/Visformer
Modifications and additions for timm hacked together by / Copyright 2021, Ross Wightman
"""
import torch
import torch.nn as nn
from timm.data import IMAGENET_DEFAU... | pytorch-image-models/timm/models/visformer.py/0 | {
"file_path": "pytorch-image-models/timm/models/visformer.py",
"repo_id": "pytorch-image-models",
"token_count": 10132
} | 359 |
## 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 ... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/to_replace_{{cookiecutter.lowercase_modelname}}.py/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/to_replace_{{cookiecutter.lowercase_modelname}}.py",
"repo_id": "transformers",
"token_count": 7744
} | 740 |
import threading
import pytest
import json
from time import sleep
from minio import Minio
from pymilvus import connections
from chaos.checker import (CollectionCreateChecker,
InsertChecker,
FlushChecker,
SearchChecker,
... | milvus/tests/python_client/chaos/test_load_with_checker.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_load_with_checker.py",
"repo_id": "milvus",
"token_count": 2545
} | 1,964 |
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { SemanticSimilarityExampleSelector } from "@langchain/core/example_selectors";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { FewShotPromptTemplate, PromptTemplate } from "@langchain/core/prompts";
import { createSqlQ... | langchainjs/examples/src/use_cases/sql/prompting/dynamic_few_shot.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/prompting/dynamic_few_shot.ts",
"repo_id": "langchainjs",
"token_count": 1017
} | 856 |
"""Utilities to get information about the runtime environment."""
from langsmith.env._git import get_git_info
from langsmith.env._runtime_env import (
get_docker_compose_command,
get_docker_compose_version,
get_docker_environment,
get_docker_version,
get_langchain_env_var_metadata,
get_langchain... | langsmith-sdk/python/langsmith/env/__init__.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/env/__init__.py",
"repo_id": "langsmith-sdk",
"token_count": 334
} | 1,149 |
from llama_index.finetuning.rerankers import CohereRerankerFinetuneEngine
from llama_index.finetuning.types import BaseCohereRerankerFinetuningEngine
def test_classes():
names_of_base_classes = [b.__name__ for b in CohereRerankerFinetuneEngine.__mro__]
assert BaseCohereRerankerFinetuningEngine.__name__ in nam... | llama_index/llama-index-finetuning/tests/rerankers/test_rerankers_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/rerankers/test_rerankers_classes.py",
"repo_id": "llama_index",
"token_count": 121
} | 1,338 |
# from https://github.com/metallb/metallb/tree/v0.9.3/manifests namespace.yaml and metallb.yaml
apiVersion: v1
kind: Namespace
metadata:
name: metallb-system
labels:
app: metallb
---
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
labels:
app: metallb
name: controller
namespace: metallb-s... | milvus/build/config/metallb.yaml/0 | {
"file_path": "milvus/build/config/metallb.yaml",
"repo_id": "milvus",
"token_count": 3775
} | 1,886 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_diffusion/image_variation.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/image_variation.md",
"repo_id": "diffusers",
"token_count": 494
} | 175 |
<jupyter_start><jupyter_text>Human-in-the-loopThere are certain tools that we don't trust a model to execute on its own. One thing we can do in such situations is require human approval before the tool is invoked. SetupWe'll need to install the following packages:<jupyter_code>%pip install --upgrade --quiet langchain ... | langchain/docs/docs/use_cases/tool_use/human_in_the_loop.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/tool_use/human_in_the_loop.ipynb",
"repo_id": "langchain",
"token_count": 1068
} | 213 |
from typing import Any
from llama_index.core.output_parsers.base import StructuredOutput
from llama_index.core.output_parsers.utils import parse_json_markdown
from llama_index.core.question_gen.types import SubQuestion
from llama_index.core.types import BaseOutputParser
class SubQuestionOutputParser(BaseOutputParser... | llama_index/llama-index-core/llama_index/core/question_gen/output_parser.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/question_gen/output_parser.py",
"repo_id": "llama_index",
"token_count": 362
} | 1,172 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50278,
"logprob": null,
"text": "<|prompter|>"
},
{
"id": 1276,
"logprob": -8.03125,
"text... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox_load.json",
"repo_id": "text-generation-inference",
"token_count": 9176
} | 385 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-multi-document-agents/llama_index/packs/multi_document_agents/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/llama_index/packs/multi_document_agents/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,678 |
# 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/tests/models/audio_spectrogram_transformer/test_modeling_audio_spectrogram_transformer.py/0 | {
"file_path": "transformers/tests/models/audio_spectrogram_transformer/test_modeling_audio_spectrogram_transformer.py",
"repo_id": "transformers",
"token_count": 3948
} | 766 |
export const AGENT_INSTRUCTIONS = `You are a helpful assistant. Help the user answer any questions.
You have access to the following tools:
{tools}
In order to use a tool, you can use <tool></tool> and <tool_input></tool_input> tags.
You will then get back a response in the form <observation></observation>
For examp... | langchainjs/langchain/src/agents/xml/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/xml/prompt.ts",
"repo_id": "langchainjs",
"token_count": 212
} | 921 |
from typing import Any, Dict, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, Field, SecretStr
DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-large"
DEFAULT_BGE_MODEL = ... | langchain/libs/community/langchain_community/embeddings/huggingface.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/huggingface.py",
"repo_id": "langchain",
"token_count": 5130
} | 276 |
# coding=utf-8
# Copyright 2022 Microsoft, clefourrier and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licens... | transformers/src/transformers/models/graphormer/configuration_graphormer.py/0 | {
"file_path": "transformers/src/transformers/models/graphormer/configuration_graphormer.py",
"repo_id": "transformers",
"token_count": 4211
} | 695 |
"""Loads rich text files."""
from typing import Any, List
from langchain_community.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
class UnstructuredRTFLoader(UnstructuredFileLoader):
"""Load `RTF` files using `Unstructured`.
You can run the loade... | langchain/libs/community/langchain_community/document_loaders/rtf.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/rtf.py",
"repo_id": "langchain",
"token_count": 793
} | 259 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | datasets/docs/source/quickstart.mdx/0 | {
"file_path": "datasets/docs/source/quickstart.mdx",
"repo_id": "datasets",
"token_count": 6014
} | 114 |
import { USearch } from "@langchain/community/vectorstores/usearch";
import { OpenAIEmbeddings } from "@langchain/openai";
const vectorStore = await USearch.fromTexts(
["Hello world", "Bye bye", "hello nice world"],
[{ id: 2 }, { id: 1 }, { id: 3 }],
new OpenAIEmbeddings()
);
const resultOne = await vectorStore... | langchainjs/examples/src/indexes/vector_stores/usearch.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/usearch.ts",
"repo_id": "langchainjs",
"token_count": 125
} | 824 |
## init
from llama_index.tools.azure_cv.base import (
CV_URL_TMPL,
AzureCVToolSpec,
)
__all__ = ["AzureCVToolSpec", "CV_URL_TMPL"]
| llama_index/llama-index-integrations/tools/llama-index-tools-azure-cv/llama_index/tools/azure_cv/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-cv/llama_index/tools/azure_cv/__init__.py",
"repo_id": "llama_index",
"token_count": 63
} | 1,431 |
from llama_index.readers.zulip.base import ZulipReader
__all__ = ["ZulipReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-zulip/llama_index/readers/zulip/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zulip/llama_index/readers/zulip/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,454 |
/**
* Copyright (c) Meta Platforms, Inc. and affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*
* @format
*/
/**
* Creating a sidebar enables you to:
- create an ordered group of docs
- render a sidebar for each doc of t... | langchainjs/docs/core_docs/sidebars.js/0 | {
"file_path": "langchainjs/docs/core_docs/sidebars.js",
"repo_id": "langchainjs",
"token_count": 4799
} | 827 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | trl/examples/research_projects/tools/calculator.py/0 | {
"file_path": "trl/examples/research_projects/tools/calculator.py",
"repo_id": "trl",
"token_count": 1433
} | 787 |
# Basic Strategies
There are many easy things to try, when you need to quickly squeeze out extra performance and optimize your RAG pipeline.
## Prompt Engineering
If you're encountering failures related to the LLM, like hallucinations or poorly formatted outputs, then this
should be one of the first things you try.
... | llama_index/docs/optimizing/basic_strategies/basic_strategies.md/0 | {
"file_path": "llama_index/docs/optimizing/basic_strategies/basic_strategies.md",
"repo_id": "llama_index",
"token_count": 1830
} | 1,151 |
from rag_matching_engine.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-matching-engine/rag_matching_engine/__init__.py/0 | {
"file_path": "langchain/templates/rag-matching-engine/rag_matching_engine/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 719 |
import { ChatOpenAI } from "@langchain/openai";
const model = new ChatOpenAI({});
const promptAsString = "Human: Tell me a short joke about ice cream";
const response = await model.invoke(promptAsString);
console.log(response);
/**
AIMessage {
content: 'Sure, here you go: Why did the ice cream go to school? Because... | langchainjs/examples/src/guides/expression_language/get_started/chat_model.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/get_started/chat_model.ts",
"repo_id": "langchainjs",
"token_count": 139
} | 866 |
from llama_index.core.node_parser.file.html import HTMLNodeParser
from llama_index.core.node_parser.file.json import JSONNodeParser
from llama_index.core.node_parser.file.markdown import MarkdownNodeParser
from llama_index.core.node_parser.file.simple_file import SimpleFileNodeParser
__all__ = [
"SimpleFileNodePar... | llama_index/llama-index-core/llama_index/core/node_parser/file/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/file/__init__.py",
"repo_id": "llama_index",
"token_count": 132
} | 1,190 |
# CHANGELOG
## [0.1.2] - 2024-2-15
- Remove incorrect one; resort back to lazy load of clip/torch
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/CHANGELOG.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/CHANGELOG.md",
"repo_id": "llama_index",
"token_count": 39
} | 1,223 |
#!/bin/bash
# Exit immediately for non zero status
set -e
ns_name=$1
instance_name=$2
log_dir=${3:-"k8s_logs"}
# export goroutine of all milvus pods
array=($(kubectl get pod -n ${ns_name} -l "app.kubernetes.io/instance=${instance_name}, app.kubernetes.io/name=milvus"| awk 'NR == 1 {next} {print $1}'))
echo ${arra... | milvus/tests/scripts/export_pprof_goroutine.sh/0 | {
"file_path": "milvus/tests/scripts/export_pprof_goroutine.sh",
"repo_id": "milvus",
"token_count": 300
} | 1,914 |
"use client";
import { ToastContainer, toast } from 'react-toastify';
import 'react-toastify/dist/ReactToastify.css';
import { useRef, ReactElement, useState } from "react";
import type { FormEvent } from "react";
import { ChatMessageBubble } from "@/components/ChatMessageBubble";
import { ChatWindowMessage } from '... | langsmith-cookbook/feedback-examples/nextjs/components/ChatWindow.tsx/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/components/ChatWindow.tsx",
"repo_id": "langsmith-cookbook",
"token_count": 2348
} | 1,136 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/program/predefined/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/program/predefined/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,628 |
# coding=utf-8
# Copyright 2018 Salesforce and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# h... | transformers/src/transformers/models/ctrl/modeling_ctrl.py/0 | {
"file_path": "transformers/src/transformers/models/ctrl/modeling_ctrl.py",
"repo_id": "transformers",
"token_count": 15197
} | 625 |
# LlamaIndex Readers Integration: Notion
| llama_index/llama-index-integrations/readers/llama-index-readers-notion/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-notion/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,346 |
<jupyter_start><jupyter_text>Bedrock (Knowledge Bases)> [Knowledge bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/) is an Amazon Web Services (AWS) offering which lets you quickly build RAG applications by using your private data to customize FM response.> Implementing `RAG` requires organizat... | langchain/docs/docs/integrations/retrievers/bedrock.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/bedrock.ipynb",
"repo_id": "langchain",
"token_count": 627
} | 159 |
.. _Ref-Node:
Node
=================
.. automodapi:: llama_index.core.schema
:no-inheritance-diagram:
| llama_index/docs/api_reference/node.rst/0 | {
"file_path": "llama_index/docs/api_reference/node.rst",
"repo_id": "llama_index",
"token_count": 42
} | 1,159 |
# Defining and Customizing Documents
## Defining Documents
Documents can either be created automatically via data loaders, or constructed manually.
By default, all of our [data loaders](/module_guides/loading/connector/root.md) (including those offered on LlamaHub) return `Document` objects through the `load_data` f... | llama_index/docs/module_guides/loading/documents_and_nodes/usage_documents.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/documents_and_nodes/usage_documents.md",
"repo_id": "llama_index",
"token_count": 1949
} | 1,101 |
import { expect, test } from "@jest/globals";
import { GoogleVertexAI } from "../googlevertexai/index.js";
describe("Vertex AI", () => {
test("Test Google Vertex", async () => {
const model = new GoogleVertexAI({ maxOutputTokens: 50 });
const res = await model.call("1 + 1 = ");
console.log({ res });
})... | langchainjs/libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts",
"repo_id": "langchainjs",
"token_count": 887
} | 1,003 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-predibase/llama_index/llms/predibase/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-predibase/llama_index/llms/predibase/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,371 |
---
sidebar_position: 1
---
# Agents
LangChain offers a number of tools and functions that allow you to create SQL Agents which can provide a more flexible way of interacting with SQL databases. The main advantages of using SQL Agents are:
- It can answer questions based on the databases schema as well as on the dat... | langchainjs/docs/core_docs/docs/use_cases/sql/agents.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/sql/agents.mdx",
"repo_id": "langchainjs",
"token_count": 1528
} | 769 |
import { z } from "zod";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import { expect, test } from "@jest/globals";
import { JsonOutputFunctionsParser } from "../../../output_parsers/openai_functions.js";
import {
createOpenAIFnRunnable,
createStructu... | langchainjs/langchain/src/chains/openai_functions/tests/create_runnable_chains.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/tests/create_runnable_chains.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1742
} | 881 |
package proxy
import (
"context"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/internal/types"
"github.com/milvus-io/milvus/pkg/mq/msgstream"
"github.com/milvus-io/milvus/pkg/util/commonpbutil"
"github.com/milvus-io/mi... | milvus/internal/proxy/task_database.go/0 | {
"file_path": "milvus/internal/proxy/task_database.go",
"repo_id": "milvus",
"token_count": 1827
} | 1,822 |
<jupyter_start><jupyter_text>Postgres Vector StoreIn this notebook we are going to show how to use [Postgresql](https://www.postgresql.org) and [pgvector](https://github.com/pgvector/pgvector) to perform vector searches in LlamaIndex If you're opening this Notebook on colab, you will probably need to install LlamaInd... | llama_index/docs/examples/vector_stores/postgres.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/postgres.ipynb",
"repo_id": "llama_index",
"token_count": 2231
} | 1,088 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,601 |
package indexparamcheck
import (
"fmt"
"strconv"
)
// raftIVFPQChecker checks if a RAFT_IVF_PQ index can be built.
type raftIVFPQChecker struct {
ivfBaseChecker
}
// CheckTrain checks if ivf-pq index can be built with the specific index parameters.
func (c *raftIVFPQChecker) CheckTrain(params map[string]string) e... | milvus/pkg/util/indexparamcheck/raft_ivf_pq_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/raft_ivf_pq_checker.go",
"repo_id": "milvus",
"token_count": 618
} | 1,832 |
# Movement Pruning: Adaptive Sparsity by Fine-Tuning
Author: @VictorSanh
*Magnitude pruning is a widely used strategy for reducing model size in pure supervised learning; however, it is less effective in the transfer learning regime that has become standard for state-of-the-art natural language processing application... | transformers/examples/research_projects/movement-pruning/README.md/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/README.md",
"repo_id": "transformers",
"token_count": 4033
} | 537 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/allocator/allocator.go/0 | {
"file_path": "milvus/internal/datanode/allocator/allocator.go",
"repo_id": "milvus",
"token_count": 759
} | 1,833 |
<?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_2.enex/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/sample_notebook_2.enex",
"repo_id": "langchain",
"token_count": 327
} | 406 |
<jupyter_start><jupyter_text>Google Cloud Firestore> [`Cloud Firestore`](https://cloud.google.com/firestore) is a NoSQL document database built for automatic scaling, high performance, and ease of application development.This notebook goes over how to use Firestore to store chat message history. Setting up To run this... | langchain/docs/docs/integrations/memory/firestore_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/firestore_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 474
} | 124 |
# docstyle-ignore
INSTALL_CONTENT = """
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
noteboo... | transformers/docs/source/fr/_config.py/0 | {
"file_path": "transformers/docs/source/fr/_config.py",
"repo_id": "transformers",
"token_count": 173
} | 481 |
from __future__ import annotations
from uuid import UUID
from langchain_core.pydantic_v1 import BaseModel
class RunInfo(BaseModel):
"""Class that contains metadata for a single execution of a Chain or model."""
run_id: UUID
"""A unique identifier for the model or chain run."""
| langchain/libs/core/langchain_core/outputs/run_info.py/0 | {
"file_path": "langchain/libs/core/langchain_core/outputs/run_info.py",
"repo_id": "langchain",
"token_count": 87
} | 393 |
import { IMSDBLoader } from "langchain/document_loaders/web/imsdb";
export const run = async () => {
const loader = new IMSDBLoader(
"https://imsdb.com/scripts/BlacKkKlansman.html"
);
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/imsdb.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/imsdb.ts",
"repo_id": "langchainjs",
"token_count": 92
} | 854 |
import unittest
from typing import List, Type
import pytest
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
ChatMessage,
ChatMessageChunk,
FunctionMessage,
FunctionMessageChunk,
HumanMessage,
HumanMessageChunk,
SystemMessage,
ToolMessage,
convert_to_message... | langchain/libs/core/tests/unit_tests/test_messages.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/test_messages.py",
"repo_id": "langchain",
"token_count": 9131
} | 409 |
from langchain_community.tools.sql_database.tool import (
BaseSQLDatabaseTool,
InfoSQLDatabaseTool,
ListSQLDatabaseTool,
QuerySQLCheckerTool,
QuerySQLDataBaseTool,
)
__all__ = [
"BaseSQLDatabaseTool",
"QuerySQLDataBaseTool",
"InfoSQLDatabaseTool",
"ListSQLDatabaseTool",
"QuerySQ... | langchain/libs/langchain/langchain/tools/sql_database/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/sql_database/tool.py",
"repo_id": "langchain",
"token_count": 130
} | 561 |
# 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/checkpointing.py/0 | {
"file_path": "accelerate/src/accelerate/checkpointing.py",
"repo_id": "accelerate",
"token_count": 4647
} | 9 |
# deprecated, please use the `filelock` package instead
from filelock import ( # noqa: F401 # imported for backward compatibility TODO: remove in 3.0.0
BaseFileLock,
SoftFileLock,
Timeout,
UnixFileLock,
WindowsFileLock,
)
from ._filelock import FileLock # noqa: F401 # imported for backward compa... | datasets/src/datasets/utils/filelock.py/0 | {
"file_path": "datasets/src/datasets/utils/filelock.py",
"repo_id": "datasets",
"token_count": 115
} | 152 |
# Document Stores
Document stores contain ingested document chunks, which we call `Node` objects.
See the [API Reference](/api_reference/storage/docstore.rst) for more details.
### Simple Document Store
By default, the `SimpleDocumentStore` stores `Node` objects in-memory.
They can be persisted to (and loaded from)... | llama_index/docs/module_guides/storing/docstores.md/0 | {
"file_path": "llama_index/docs/module_guides/storing/docstores.md",
"repo_id": "llama_index",
"token_count": 1287
} | 1,099 |
Query Transform
===============
.. automodule:: llama_index.core.indices.query.query_transform
:members:
:inherited-members:
:exclude-members:
| llama_index/docs/api_reference/query/query_transform.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/query_transform.rst",
"repo_id": "llama_index",
"token_count": 53
} | 1,162 |
"""Graph Database Cypher Reader."""
from typing import Dict, List, Optional
import yaml
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class GraphDBCypherReader(BaseReader):
"""Graph database Cypher reader.
Combines all Cypher query results into the Docume... | llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/llama_index/readers/graphdb_cypher/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/llama_index/readers/graphdb_cypher/base.py",
"repo_id": "llama_index",
"token_count": 721
} | 1,504 |
# 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/tests/models/conditional_detr/test_modeling_conditional_detr.py/0 | {
"file_path": "transformers/tests/models/conditional_detr/test_modeling_conditional_detr.py",
"repo_id": "transformers",
"token_count": 10917
} | 754 |
from llama_index.llms.rungpt.base import RunGptLLM
__all__ = ["RunGptLLM"]
| llama_index/llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,331 |
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/gptj/test_modeling_gptj.py/0 | {
"file_path": "transformers/tests/models/gptj/test_modeling_gptj.py",
"repo_id": "transformers",
"token_count": 12590
} | 764 |
from langchain_community.agent_toolkits.json.base import create_json_agent
__all__ = ["create_json_agent"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/json/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/json/base.py",
"repo_id": "langchain",
"token_count": 35
} | 465 |
342790CE3BD09229C9C14810E2AB86D28A4700BF
| milvus/configs/cert/ca.srl/0 | {
"file_path": "milvus/configs/cert/ca.srl",
"repo_id": "milvus",
"token_count": 24
} | 1,727 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/albert/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/albert/__init__.py",
"repo_id": "transformers",
"token_count": 2259
} | 603 |
"""Retriever tool."""
from typing import TYPE_CHECKING, Any, Optional
from llama_index.legacy.core.base_retriever import BaseRetriever
if TYPE_CHECKING:
from llama_index.legacy.langchain_helpers.agents.tools import LlamaIndexTool
from llama_index.legacy.schema import MetadataMode
from llama_index.legacy.tools.ty... | llama_index/llama-index-legacy/llama_index/legacy/tools/retriever_tool.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/retriever_tool.py",
"repo_id": "llama_index",
"token_count": 1581
} | 1,607 |
# Prompts
## Concept
Prompting is the fundamental input that gives LLMs their expressive power. LlamaIndex uses prompts to build the index, do insertion,
perform traversal during querying, and to synthesize the final answer.
LlamaIndex uses a set of [default prompt templates](https://github.com/jerryjliu/llama_index... | llama_index/docs/module_guides/models/prompts.md/0 | {
"file_path": "llama_index/docs/module_guides/models/prompts.md",
"repo_id": "llama_index",
"token_count": 687
} | 1,096 |
import os
from functools import partial
from glob import glob
import faiss
from datasets import Features, Sequence, Value, concatenate_datasets, load_dataset, load_from_disk
from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
def split_text(text, n=100, character=" "):
"""Split the text e... | transformers/examples/research_projects/rag-end2end-retriever/kb_encode_utils.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/kb_encode_utils.py",
"repo_id": "transformers",
"token_count": 1231
} | 571 |
[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 = ["ApifyActor", "ApifyDataset"]
contains_example = false
import_path = "llama_index.readers.... | llama_index/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml",
"repo_id": "llama_index",
"token_count": 685
} | 1,377 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/idefics/test_modeling_idefics.py/0 | {
"file_path": "transformers/tests/models/idefics/test_modeling_idefics.py",
"repo_id": "transformers",
"token_count": 12287
} | 731 |
import argparse
import runhouse as rh
import torch
from nlp_example import training_function
from accelerate.utils import PrepareForLaunch, patch_environment
def launch_train(*args):
num_processes = torch.cuda.device_count()
print(f"Device count: {num_processes}")
with patch_environment(
world_s... | accelerate/examples/multigpu_remote_launcher.py/0 | {
"file_path": "accelerate/examples/multigpu_remote_launcher.py",
"repo_id": "accelerate",
"token_count": 869
} | 7 |
"""bitbucket reader."""
import base64
import os
from typing import List, Optional
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class BitbucketReader(BaseReader):
"""Bitbucket reader.
Reads the content of files in Bitbucket repositories.
... | llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py",
"repo_id": "llama_index",
"token_count": 2452
} | 1,299 |
"""Response schema.
Maintain this file for backwards compat.
"""
from llama_index.legacy.core.response.schema import (
RESPONSE_TYPE,
PydanticResponse,
Response,
StreamingResponse,
)
__all__ = ["Response", "PydanticResponse", "StreamingResponse", "RESPONSE_TYPE"]
| llama_index/llama-index-legacy/llama_index/legacy/response/schema.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response/schema.py",
"repo_id": "llama_index",
"token_count": 99
} | 1,768 |
from langchain_community.document_loaders.open_city_data import OpenCityDataLoader
__all__ = ["OpenCityDataLoader"]
| langchain/libs/langchain/langchain/document_loaders/open_city_data.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/open_city_data.py",
"repo_id": "langchain",
"token_count": 34
} | 486 |
from langchain_core.tracers.base import BaseTracer, TracerException
__all__ = ["TracerException", "BaseTracer"]
| langchain/libs/langchain/langchain/schema/callbacks/tracers/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/tracers/base.py",
"repo_id": "langchain",
"token_count": 35
} | 542 |
// 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/util/importutil/binlog_parser.go/0 | {
"file_path": "milvus/internal/util/importutil/binlog_parser.go",
"repo_id": "milvus",
"token_count": 4077
} | 1,936 |
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
// Uncomment if implementing streaming
// import {
// GenerationChun... | langchainjs/libs/create-langchain-integration/template/src/llms.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/template/src/llms.ts",
"repo_id": "langchainjs",
"token_count": 791
} | 929 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_cli.py/0 | {
"file_path": "accelerate/tests/test_cli.py",
"repo_id": "accelerate",
"token_count": 6337
} | 22 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.database import DatabaseToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in DatabaseToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-database/tests/test_tools_database.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-database/tests/test_tools_database.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,481 |
import { AsyncLocalStorage } from "async_hooks";
import { RunTree, RunTreeConfig, isRunTree } from "./run_trees.js";
import { KVMap } from "./schemas.js";
const asyncLocalStorage = new AsyncLocalStorage<RunTree>();
export type RunTreeLike = RunTree;
type WrapArgReturnPair<Pair> = Pair extends [
// eslint-disable-... | langsmith-sdk/js/src/traceable.ts/0 | {
"file_path": "langsmith-sdk/js/src/traceable.ts",
"repo_id": "langsmith-sdk",
"token_count": 2719
} | 1,147 |
// 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/unittest/test_data_codec.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_data_codec.cpp",
"repo_id": "milvus",
"token_count": 8524
} | 1,781 |
# Distributed inference examples with PiPPy
This repo contains a variety of tutorials for using the [PiPPy](https://github.com/PyTorch/PiPPy) pipeline parallelism library with accelerate. You will find examples covering:
1. How to trace the model using `accelerate.prepare_pippy`
2. How to specify inputs based on what... | accelerate/examples/inference/README.md/0 | {
"file_path": "accelerate/examples/inference/README.md",
"repo_id": "accelerate",
"token_count": 646
} | 6 |
import unittest
from typing import Any
from unittest.mock import MagicMock, patch
from langchain_community.graphs import HugeGraph
class TestHugeGraph(unittest.TestCase):
def setUp(self) -> None:
self.username = "test_user"
self.password = "test_password"
self.address = "test_address"
... | langchain/libs/community/tests/integration_tests/graphs/test_hugegraph.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_hugegraph.py",
"repo_id": "langchain",
"token_count": 726
} | 366 |
from __future__ import annotations
import logging
from functools import cached_property
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import BaseLL... | langchain/libs/community/langchain_community/llms/gigachat.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/gigachat.py",
"repo_id": "langchain",
"token_count": 3889
} | 268 |
use super::WordPiece;
use crate::models::bpe::{BpeTrainer, BpeTrainerBuilder, BPE};
use crate::tokenizer::{AddedToken, Result, Trainer};
use serde::{Deserialize, Serialize};
use std::collections::HashSet;
/// A `WordPieceTrainerBuilder` can be used to create a `WordPieceTrainer` with a custom
/// configuration.
pub st... | tokenizers/tokenizers/src/models/wordpiece/trainer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/trainer.rs",
"repo_id": "tokenizers",
"token_count": 2499
} | 454 |
<jupyter_start><jupyter_text>CachingLangChain provides an optional caching layer for LLMs. This is useful for two reasons:It can save you money by reducing the number of API calls you make to the LLM provider, if you're often requesting the same completion multiple times.It can speed up your application by reducing the... | langchain/docs/docs/modules/model_io/llms/llm_caching.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/llms/llm_caching.ipynb",
"repo_id": "langchain",
"token_count": 460
} | 205 |
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/src/transformers/utils/fx.py/0 | {
"file_path": "transformers/src/transformers/utils/fx.py",
"repo_id": "transformers",
"token_count": 22754
} | 708 |
import { BufferMemory } from "langchain/memory";
import { UpstashRedisChatMessageHistory } from "@langchain/community/stores/message/upstash_redis";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
const memory = new BufferMemory({
chatHistory: new UpstashRedisCha... | langchainjs/examples/src/memory/upstash_redis.ts/0 | {
"file_path": "langchainjs/examples/src/memory/upstash_redis.ts",
"repo_id": "langchainjs",
"token_count": 401
} | 795 |
from langchain_community.callbacks.argilla_callback import ArgillaCallbackHandler
__all__ = ["ArgillaCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/argilla_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/argilla_callback.py",
"repo_id": "langchain",
"token_count": 31
} | 492 |
[
{
"question": "Why is the transformer architecture expressive in the forward pass?",
"answer": "The transformer architecture is expressive because it uses a general message passing scheme where nodes get to look at each other, decide what's interesting and then update each other."
},
{
"question": "... | auto-evaluator/nextjs/public/testData/testDataset.json/0 | {
"file_path": "auto-evaluator/nextjs/public/testData/testDataset.json",
"repo_id": "auto-evaluator",
"token_count": 447
} | 3 |
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