text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import os
from langchain.retrievers import AmazonKendraRetriever
from langchain_community.llms.bedrock import Bedrock
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import Run... | langchain/templates/rag-aws-kendra/rag_aws_kendra/chain.py/0 | {
"file_path": "langchain/templates/rag-aws-kendra/rag_aws_kendra/chain.py",
"repo_id": "langchain",
"token_count": 518
} | 651 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/SegmentSealedImpl.h/0 | {
"file_path": "milvus/internal/core/src/segcore/SegmentSealedImpl.h",
"repo_id": "milvus",
"token_count": 4007
} | 1,766 |
{ "embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {} }
| llama_index/llama-index-legacy/storage/default__vector_store.json/0 | {
"file_path": "llama_index/llama-index-legacy/storage/default__vector_store.json",
"repo_id": "llama_index",
"token_count": 32
} | 1,614 |
_type: prompt
input_variables:
["adjective"]
partial_variables:
content: dogs
template:
Tell me a {adjective} joke about {content}.
| langchain/libs/core/tests/unit_tests/examples/simple_prompt.yaml/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/examples/simple_prompt.yaml",
"repo_id": "langchain",
"token_count": 54
} | 404 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "chat_models/portkey",
});
export * from "@langchain/community/chat_models/portkey";
| langchainjs/langchain/src/chat_models/portkey.ts/0 | {
"file_path": "langchainjs/langchain/src/chat_models/portkey.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 900 |
import os
from pathlib import Path
import pypdfium2 as pdfium
from langchain_community.vectorstores import Chroma
from langchain_experimental.open_clip import OpenCLIPEmbeddings
def get_images_from_pdf(pdf_path, img_dump_path):
"""
Extract images from each page of a PDF document and save as JPEG files.
... | langchain/templates/rag-gemini-multi-modal/ingest.py/0 | {
"file_path": "langchain/templates/rag-gemini-multi-modal/ingest.py",
"repo_id": "langchain",
"token_count": 764
} | 655 |
# 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/pipelines/controlnet/pipeline_controlnet_inpaint.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py",
"repo_id": "diffusers",
"token_count": 36217
} | 239 |
"""Load Documents from a set of persistent Steamship Files."""
from typing import List, Optional
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document
class SteamshipFileReader(BaseReader):
"""Reads persistent Steamship Files and converts them to Documents.
A... | llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/file_reader.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/file_reader.py",
"repo_id": "llama_index",
"token_count": 1527
} | 1,637 |
# RealFill
[RealFill](https://arxiv.org/abs/2309.16668) is a method to personalize text2image inpainting models like stable diffusion inpainting given just a few(1~5) images of a scene.
The `train_realfill.py` script shows how to implement the training procedure for stable diffusion inpainting.
## Running locally wi... | diffusers/examples/research_projects/realfill/README.md/0 | {
"file_path": "diffusers/examples/research_projects/realfill/README.md",
"repo_id": "diffusers",
"token_count": 1321
} | 213 |
<jupyter_start><jupyter_text>Datadog Logs>[Datadog](https://www.datadoghq.com/) is a monitoring and analytics platform for cloud-scale applications.This loader fetches the logs from your applications in Datadog using the `datadog_api_client` Python package. You must initialize the loader with your `Datadog API key` and... | langchain/docs/docs/integrations/document_loaders/datadog_logs.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/datadog_logs.ipynb",
"repo_id": "langchain",
"token_count": 309
} | 108 |
<jupyter_start><jupyter_text>Google BigQuery>[Google BigQuery](https://cloud.google.com/bigquery) is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.`BigQuery` is a part of the `Google Cloud Platform`.Load a `BigQuery` query with one document per row.<jupyter... | langchain/docs/docs/integrations/document_loaders/google_bigquery.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/google_bigquery.ipynb",
"repo_id": "langchain",
"token_count": 1289
} | 99 |
import { OpenAI } from "@langchain/openai";
// To enable streaming, we pass in `streaming: true` to the LLM constructor.
// Additionally, we pass in a handler for the `handleLLMNewToken` event.
const chat = new OpenAI({
streaming: true,
callbacks: [
{
handleLLMNewToken(token: string) {
process.st... | langchainjs/examples/src/models/llm/llm_streaming_stdout.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_streaming_stdout.ts",
"repo_id": "langchainjs",
"token_count": 324
} | 831 |
package dbmodel
import (
"context"
_ "ariga.io/atlas-provider-gorm/gormschema"
)
//go:generate mockery --name=IMetaDomain
type IMetaDomain interface {
DatabaseDb(ctx context.Context) IDatabaseDb
TenantDb(ctx context.Context) ITenantDb
CollectionDb(ctx context.Context) ICollectionDb
CollectionMetadataDb(ctx con... | chroma/go/coordinator/internal/metastore/db/dbmodel/common.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dbmodel/common.go",
"repo_id": "chroma",
"token_count": 213
} | 46 |
from typing import Optional
from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader
class TextDatasetReader(AbstractDatasetReader):
def __init__(
self,
path_or_paths: Nest... | datasets/src/datasets/io/text.py/0 | {
"file_path": "datasets/src/datasets/io/text.py",
"repo_id": "datasets",
"token_count": 998
} | 142 |
<div style="text-align: center">
<img src="https://huggingface.co/datasets/trl-internal-testing/example-images/resolve/main/images/trl_banner_dark.png">
</div>
# TRL - Transformer Reinforcement Learning
TRL is a full stack library where we provide a set of tools to train transformer language models with Reinforcement... | trl/docs/source/index.mdx/0 | {
"file_path": "trl/docs/source/index.mdx",
"repo_id": "trl",
"token_count": 1414
} | 877 |
export interface OpenAIEndpointConfig {
azureOpenAIApiDeploymentName?: string;
azureOpenAIApiInstanceName?: string;
azureOpenAIApiKey?: string;
azureOpenAIBasePath?: string;
baseURL?: string | null;
}
/**
* This function generates an endpoint URL for (Azure) OpenAI
* based on the configuration parameters p... | langchainjs/libs/langchain-openai/src/utils/azure.ts/0 | {
"file_path": "langchainjs/libs/langchain-openai/src/utils/azure.ts",
"repo_id": "langchainjs",
"token_count": 857
} | 1,106 |
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
from datasets.utils.py_util... | datasets/src/datasets/packaged_modules/csv/csv.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/csv/csv.py",
"repo_id": "datasets",
"token_count": 3790
} | 146 |
[project]
name = 'candle-nn'
requires-python = '>=3.7'
authors = [
{name = 'The Candle Team'},
]
dynamic = [
'description',
'license',
'readme',
]
[project.urls]
Homepage = 'https://github.com/huggingface/candle'
Source = 'https://github.com/huggingface/candle'
[build-system]
requires = ["maturin>=1.... | candle/candle-pyo3/pyproject.toml/0 | {
"file_path": "candle/candle-pyo3/pyproject.toml",
"repo_id": "candle",
"token_count": 285
} | 74 |
"""Test CerebriumAI llm"""
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_community.llms.cerebriumai import CerebriumAI
def test_api_key_is_secret_string() -> None:
llm = CerebriumAI(cerebriumai_api_key="test-cerebriumai-api-key")
assert isinst... | langchain/libs/community/tests/unit_tests/llms/test_cerebriumai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_cerebriumai.py",
"repo_id": "langchain",
"token_count": 437
} | 408 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/chroma",
});
export * from "@langchain/community/vectorstores/chroma";
| langchainjs/langchain/src/vectorstores/chroma.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/chroma.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 949 |
---
sidebar_label: Mistral AI
---
# Mistral AI
The `MistralAIEmbeddings` class uses the Mistral AI API to generate embeddings for a given text.
## Setup
In order to use the Mistral API you'll need an API key. You can sign up for a Mistral account and create an API key [here](https://console.mistral.ai/).
You'll fi... | langchainjs/docs/core_docs/docs/integrations/text_embedding/mistralai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/text_embedding/mistralai.mdx",
"repo_id": "langchainjs",
"token_count": 259
} | 724 |
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>OpenGPTs</title>
<link rel="stylesheet" href="https://rsms.me/inter/inter.css">
</head>
<body>
<div id="root"></div>
<script type="module" src="/... | opengpts/frontend/index.html/0 | {
"file_path": "opengpts/frontend/index.html",
"repo_id": "opengpts",
"token_count": 154
} | 2,058 |
# coding=utf-8
# Copyright 2020 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/tests/models/tapas/test_modeling_tapas.py/0 | {
"file_path": "transformers/tests/models/tapas/test_modeling_tapas.py",
"repo_id": "transformers",
"token_count": 22253
} | 738 |
{
"openapi": "3.0.0",
"info": {
"title": "QuickChart API",
"version": "1.0.0",
"description": "An API to generate charts and QR codes using QuickChart services."
},
"servers": [
{
"url": "https://quickchart.io"
}
],
"paths": {
"/chart": {
"get": {
... | langchain/libs/community/tests/unit_tests/examples/test_specs/quickchart/apispec.json/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/examples/test_specs/quickchart/apispec.json",
"repo_id": "langchain",
"token_count": 6864
} | 383 |
"""Test DeepSparse wrapper."""
from langchain_community.llms import DeepSparse
def test_deepsparse_call() -> None:
"""Test valid call to DeepSparse."""
config = {"max_generated_tokens": 5, "use_deepsparse_cache": False}
llm = DeepSparse(
model="zoo:nlg/text_generation/codegen_mono-350m/pytorch/hu... | langchain/libs/community/tests/integration_tests/llms/test_deepsparse.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_deepsparse.py",
"repo_id": "langchain",
"token_count": 207
} | 340 |
from typing import Any
from unittest.mock import patch
import pytest
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.query_engine.cogniswitch_query_engine import (
CogniswitchQueryEngine,
)
@pytest.fixture()
def query_engine() -> CogniswitchQueryEngine:
return Cogniswitch... | llama_index/llama-index-legacy/tests/query_engine/test_cogniswitch_query_engine.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/query_engine/test_cogniswitch_query_engine.py",
"repo_id": "llama_index",
"token_count": 411
} | 1,544 |
# coding=utf-8
# Copyright 2022 Microsoft Research, Inc. 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/lice... | transformers/src/transformers/models/resnet/configuration_resnet.py/0 | {
"file_path": "transformers/src/transformers/models/resnet/configuration_resnet.py",
"repo_id": "transformers",
"token_count": 2286
} | 724 |
# Confident AI
>[DeepEval](https://confident-ai.com) package for unit testing LLMs.
> Using Confident, everyone can build robust language models through faster iterations
> using both unit testing and integration testing. We provide suppor... | langchain/docs/docs/integrations/providers/confident.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/confident.mdx",
"repo_id": "langchain",
"token_count": 181
} | 143 |
import torch
import torch.distributed
from transformers import AutoConfig, AutoTokenizer
from typing import Optional, List, Tuple
from text_generation_server.models import CausalLM
from text_generation_server.models.custom_modeling.phi_modeling import (
PhiConfig,
PhiForCausalLM,
)
from text_generation_server... | text-generation-inference/server/text_generation_server/models/phi.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/phi.py",
"repo_id": "text-generation-inference",
"token_count": 961
} | 418 |
# supabase-template
## Get started
0. Make sure you have [Docker](https://www.docker.com/) installed and running
1. Clone this repo
2. Install dependencies, including the Supabase CLI
```bash
yarn
```
**Note**: If you install the Supabase CLI using a different method you have to make sure you are on version 1.49.4... | langchain-template-supabase/README.md/0 | {
"file_path": "langchain-template-supabase/README.md",
"repo_id": "langchain-template-supabase",
"token_count": 503
} | 69 |
package proxy
import (
"context"
"fmt"
"strconv"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"go.opentelemetry.io/otel"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/internal/parser/planparserv2"
"github.com/milvus-io/milvus/pkg... | milvus/internal/proxy/search_util.go/0 | {
"file_path": "milvus/internal/proxy/search_util.go",
"repo_id": "milvus",
"token_count": 2053
} | 1,821 |
# coding=utf-8
# Copyright 2020-present, AllenAI Authors, University of Illinois Urbana-Champaign,
# Intel Nervana Systems 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 ... | transformers/examples/research_projects/movement-pruning/emmental/modules/binarizer.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/emmental/modules/binarizer.py",
"repo_id": "transformers",
"token_count": 2366
} | 538 |
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.tools.file_management.utils import (
INVALID_PATH_TEMPLATE,
BaseFileToolMixin,
FileVal... | langchain/libs/community/langchain_community/tools/file_management/read.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/file_management/read.py",
"repo_id": "langchain",
"token_count": 545
} | 289 |
"""Document summary index."""
from llama_index.legacy.indices.document_summary.base import (
DocumentSummaryIndex,
GPTDocumentSummaryIndex,
)
from llama_index.legacy.indices.document_summary.retrievers import (
DocumentSummaryIndexEmbeddingRetriever,
DocumentSummaryIndexLLMRetriever,
DocumentSummar... | llama_index/llama-index-legacy/llama_index/legacy/indices/document_summary/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/document_summary/__init__.py",
"repo_id": "llama_index",
"token_count": 186
} | 1,560 |
import enum
import uuid
from datetime import timedelta
from typing import Any, Dict, List, Optional
from llama_index.legacy.constants import DEFAULT_EMBEDDING_DIM
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorS... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/timescalevector.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/timescalevector.py",
"repo_id": "llama_index",
"token_count": 4371
} | 1,726 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py",
"repo_id": "diffusers",
"token_count": 10623
} | 257 |
# ECA-ResNet
An **ECA ResNet** is a variant on a [ResNet](https://paperswithcode.com/method/resnet) that utilises an [Efficient Channel Attention module](https://paperswithcode.com/method/efficient-channel-attention). Efficient Channel Attention is an architectural unit based on [squeeze-and-excitation blocks](https:/... | pytorch-image-models/docs/models/ecaresnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/ecaresnet.md",
"repo_id": "pytorch-image-models",
"token_count": 3638
} | 367 |
import usearch from "usearch";
import * as uuid from "uuid";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { SaveableVectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
import { SynchronousInMemoryDocstore } from "../stores/doc/in_memo... | langchainjs/libs/langchain-community/src/vectorstores/usearch.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/usearch.ts",
"repo_id": "langchainjs",
"token_count": 2633
} | 1,012 |
<!--
著作権 2023 The HuggingFace Team。全著作権所有。
Apache License、Version 2.0（以下「ライセンス」と呼びます）に基づくライセンスで、
ライセンスに従わない限り、このファイルを使用できません。
ライセンスのコピーは以下から入手できます：
http://www.apache.org/licenses/LICENSE-2.0
適用法に従うか、書面による同意がある限り、ライセンスの下でソフトウェアは配布されます。
ライセンスに基づく特定の言語での条件を確認するか、ライセンスを参照してください。
このファイルはMarkdown形式ですが、doc-builder（MDXに類似した... | transformers/docs/source/ja/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/ja/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 3579
} | 476 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-yelp/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yelp/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,643 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
clientv3 "go.etcd.io/etcd/client/v3"
federpb "github.com/milvus-io/milvus-proto/go-api/v2/federpb"
internalpb "github.com/milvus-io/milvus/internal/proto/... | milvus/internal/mocks/mock_proxy.go/0 | {
"file_path": "milvus/internal/mocks/mock_proxy.go",
"repo_id": "milvus",
"token_count": 78207
} | 1,802 |
import { logVersion010MigrationWarning } from "../../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "agents/toolkits/connery",
});
export * from "@langchain/community/agents/toolkits/connery";
| langchainjs/langchain/src/agents/toolkits/connery/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/connery/index.ts",
"repo_id": "langchainjs",
"token_count": 80
} | 855 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,237 |
// 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/distributed/proxy/client/client_test.go/0 | {
"file_path": "milvus/internal/distributed/proxy/client/client_test.go",
"repo_id": "milvus",
"token_count": 5761
} | 1,708 |
# coding=utf-8
# Copyright 2021 The EleutherAI and HuggingFace Teams. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | transformers/src/transformers/models/gptj/configuration_gptj.py/0 | {
"file_path": "transformers/src/transformers/models/gptj/configuration_gptj.py",
"repo_id": "transformers",
"token_count": 3773
} | 642 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-asana/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-asana/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,291 |
"""Load prompts."""
import json
import logging
from pathlib import Path
from typing import Callable, Dict, Union
import yaml
from langchain_core.output_parsers.string import StrOutputParser
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.chat import ChatPromptTemplate
from langc... | langchain/libs/core/langchain_core/prompts/loading.py/0 | {
"file_path": "langchain/libs/core/langchain_core/prompts/loading.py",
"repo_id": "langchain",
"token_count": 2483
} | 394 |
"""Mock utils."""
import re
from typing import List, Optional, Set
from llama_index.legacy.indices.keyword_table.utils import (
simple_extract_keywords,
)
def mock_tokenizer(text: str) -> List[str]:
"""Mock tokenizer."""
tokens = re.split(r"[ \n]", text) # split by space or newline
result = []
... | llama_index/llama-index-legacy/tests/mock_utils/mock_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/mock_utils/mock_utils.py",
"repo_id": "llama_index",
"token_count": 310
} | 1,562 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/training/text2image.md/0 | {
"file_path": "diffusers/docs/source/en/training/text2image.md",
"repo_id": "diffusers",
"token_count": 4032
} | 196 |
from llama_index.readers.chatgpt_plugin.base import ChatGPTRetrievalPluginReader
__all__ = ["ChatGPTRetrievalPluginReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/llama_index/readers/chatgpt_plugin/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/llama_index/readers/chatgpt_plugin/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,474 |
# HRNet
**HRNet**, or **High-Resolution Net**, is a general purpose convolutional neural network for tasks like semantic segmentation, object detection and image classification. It is able to maintain high resolution representations through the whole process. We start from a high-resolution convolution stream, gradual... | pytorch-image-models/docs/models/.templates/models/hrnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/hrnet.md",
"repo_id": "pytorch-image-models",
"token_count": 4240
} | 344 |
# coding=utf-8
# Copyright 2018 Salesforce and HuggingFace Inc. team.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | transformers/tests/models/phobert/test_tokenization_phobert.py/0 | {
"file_path": "transformers/tests/models/phobert/test_tokenization_phobert.py",
"repo_id": "transformers",
"token_count": 1168
} | 745 |
import logging
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
logger = logging.getLogger(__file__)
class UnstructuredURLLoader(BaseReader):
"""Loader that uses unstructured to load HTML files."""
def __init__(
self, urls: Li... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/unstructured_web/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/unstructured_web/base.py",
"repo_id": "llama_index",
"token_count": 1030
} | 1,471 |
import torch
import grpc
from google.rpc import status_pb2, code_pb2
from grpc_status import rpc_status
from grpc_interceptor.server import AsyncServerInterceptor
from loguru import logger
from typing import Callable, Any
class ExceptionInterceptor(AsyncServerInterceptor):
async def intercept(
self,
... | text-generation-inference/server/text_generation_server/interceptor.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/interceptor.py",
"repo_id": "text-generation-inference",
"token_count": 449
} | 442 |
<jupyter_start><jupyter_text>Joint QA Summary Query Engine If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai
!pip install llama-index
import nest_asyncio
nest_asyncio.apply()
import logging
import sys
logging.basicConfig(stream... | llama_index/docs/examples/query_engine/JointQASummary.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/JointQASummary.ipynb",
"repo_id": "llama_index",
"token_count": 831
} | 1,207 |
# docstyle-ignore
INSTALL_CONTENT = """
# Diffusers installation
! pip install diffusers transformers datasets accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/diffusers.git
"""
notebook_first_... | diffusers/docs/source/_config.py/0 | {
"file_path": "diffusers/docs/source/_config.py",
"repo_id": "diffusers",
"token_count": 102
} | 173 |
// File from https://github.com/mlpen/YOSO/blob/main/encoders/backbones/efficient_attentions/yoso/yoso_v1/cuda/fast_lsh_cumulation_cuda.cu
#include "fast_lsh_cumulation_cuda.h"
#include "common_cuda_device.h"
#include "common_cuda.h"
#include "common.h"
#include <stdio.h>
//////////////////////////////////////////////... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_cuda.cu/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_cuda.cu",
"repo_id": "transformers",
"token_count": 14407
} | 577 |
import { describe, expect, jest, test } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { MemoryVectorStore } from "../../vectorstores/memory.js";
import {
BUFFER_IDX,
LAST_ACCESSED_AT_KEY,
TimeWeightedVectorStoreRe... | langchainjs/langchain/src/retrievers/tests/time_weighted.test.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/tests/time_weighted.test.ts",
"repo_id": "langchainjs",
"token_count": 4730
} | 920 |
<p align="center">
<br>
<img src="https://huggingface.co/landing/assets/tokenizers/tokenizers-logo.png" width="600"/>
<br>
<p>
<p align="center">
<a href="https://badge.fury.io/py/tokenizers">
<img alt="Build" src="https://badge.fury.io/py/tokenizers.svg">
</a>
<a href="https://github.c... | tokenizers/bindings/python/README.md/0 | {
"file_path": "tokenizers/bindings/python/README.md",
"repo_id": "tokenizers",
"token_count": 1621
} | 401 |
from __future__ import annotations
from typing import TYPE_CHECKING, Tuple
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
if TYPE_CHECKING:
from qdrant_client.http import models as rest
class QdrantTranslator(... | langchain/libs/langchain/langchain/retrievers/self_query/qdrant.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/qdrant.py",
"repo_id": "langchain",
"token_count": 1398
} | 536 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include <cute/algorithm/copy.hpp>
#include <cutlass/cutlass.h>
#include <cutlass/array.h>
#include <cutlass/nu... | candle/candle-flash-attn/kernels/flash_fwd_kernel.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash_fwd_kernel.h",
"repo_id": "candle",
"token_count": 16384
} | 53 |
from llama_index.readers.file.tabular.base import CSVReader, PandasCSVReader
__all__ = ["CSVReader", "PandasCSVReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/tabular/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/tabular/__init__.py",
"repo_id": "llama_index",
"token_count": 43
} | 1,352 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class IFPipelineOutput(BaseOutput):
"""
Args:
Output class for Stable Diffusion pipelines.
images (`List[PIL.Image.Image]` or `np.ndarray`)
... | diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 409
} | 246 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/bit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bit.md",
"repo_id": "transformers",
"token_count": 1005
} | 478 |
# Copyright 2024 The InstructPix2Pix Authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 18757
} | 257 |
---
sidebar_label: Mistral AI
---
import CodeBlock from "@theme/CodeBlock";
# ChatMistralAI
[Mistral AI](https://mistral.ai/) is a research organization and hosting platform for LLMs.
They're most known for their family of 7B models ([`mistral7b` // `mistral-tiny`](https://mistral.ai/news/announcing-mistral-7b/), [`... | langchainjs/docs/core_docs/docs/integrations/chat/mistral.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/mistral.mdx",
"repo_id": "langchainjs",
"token_count": 734
} | 723 |
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
import fsspec
from llama_index.core.constants import (
DOC_STORE_KEY,
GRAPH_STORE_KEY,
INDEX_STORE_KEY,
VECTOR_STORE_KEY,
)
from llama_index.core.graph_stores.simple import (
DEFAULT_PERSIS... | llama_index/llama-index-core/llama_index/core/storage/storage_context.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/storage_context.py",
"repo_id": "llama_index",
"token_count": 3989
} | 1,180 |
# Additional Readings [[additional-readings]]
These are **optional readings** if you want to go deeper.
## PPO Explained
- [Towards Delivering a Coherent Self-Contained Explanation of Proximal Policy Optimization by Daniel Bick](https://fse.studenttheses.ub.rug.nl/25709/1/mAI_2021_BickD.pdf)
- [What is the way to un... | deep-rl-class/units/en/unit8/additional-readings.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit8/additional-readings.mdx",
"repo_id": "deep-rl-class",
"token_count": 418
} | 174 |
{
"name": "create-wasm-app",
"version": "0.1.0",
"description": "create an app to consume rust-generated wasm packages",
"main": "index.js",
"bin": {
"create-wasm-app": ".bin/create-wasm-app.js"
},
"scripts": {
"build": "webpack --config webpack.config.js",
"start": "... | tokenizers/tokenizers/examples/unstable_wasm/www/package.json/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/package.json",
"repo_id": "tokenizers",
"token_count": 516
} | 416 |
"""test Databricks LLM"""
import pickle
from typing import Any, Dict
from pytest import MonkeyPatch
from langchain_community.llms.databricks import Databricks
class MockDatabricksServingEndpointClient:
def __init__(
self,
host: str,
api_token: str,
endpoint_name: str,
dat... | langchain/libs/community/tests/unit_tests/llms/test_databricks.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_databricks.py",
"repo_id": "langchain",
"token_count": 550
} | 401 |
"""Wrapper around Konko AI's Completion API."""
import logging
import warnings
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 impor... | langchain/libs/community/langchain_community/llms/konko.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/konko.py",
"repo_id": "langchain",
"token_count": 2804
} | 278 |
/// MIT License
//
// Copyright (c) 2020 hatoo
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merg... | text-generation-inference/benchmark/src/utils.rs/0 | {
"file_path": "text-generation-inference/benchmark/src/utils.rs",
"repo_id": "text-generation-inference",
"token_count": 600
} | 393 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mqwrapper
import mock "github.com/stretchr/testify/mock"
// MockMessageID is an autogenerated mock type for the MessageID type
type MockMessageID struct {
mock.Mock
}
type MockMessageID_Expecter struct {
mock *mock.Mock
}
func (_m *MockMessageID) EXPECT(... | milvus/pkg/mq/msgstream/mqwrapper/mock_id.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/mock_id.go",
"repo_id": "milvus",
"token_count": 2351
} | 1,825 |
// Code generated by mockery v2.16.0. DO NOT EDIT.
package server
import mock "github.com/stretchr/testify/mock"
// MockRocksMQ is an autogenerated mock type for the RocksMQ type
type MockRocksMQ struct {
mock.Mock
}
type MockRocksMQ_Expecter struct {
mock *mock.Mock
}
func (_m *MockRocksMQ) EXPECT() *MockRocksM... | milvus/internal/mq/mqimpl/rocksmq/server/mock_rocksmq.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/server/mock_rocksmq.go",
"repo_id": "milvus",
"token_count": 6674
} | 1,815 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.waii import WaiiToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in WaiiToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-waii/tests/test_tools_waii.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-waii/tests/test_tools_waii.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,502 |
import argparse
import io
import requests
import torch
import yaml
from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
assign_to_checkpoint,
conv_attn_to_linear,
create_vae_diffusers_config,
renew_vae_attention_paths,
renew_vae_resnet_paths,
)
... | diffusers/scripts/convert_vae_pt_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vae_pt_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3153
} | 219 |
---
sidebar_position: 2
---
# Text embedding models
:::info
Head to [Integrations](/docs/integrations/text_embedding) for documentation on built-in integrations with text embedding providers.
:::
The Embeddings class is a class designed for interfacing with text embedding models. There are lots of embedding model pr... | langchainjs/docs/core_docs/docs/modules/data_connection/text_embedding/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/text_embedding/index.mdx",
"repo_id": "langchainjs",
"token_count": 3377
} | 812 |
# Copyright 2024 NVIDIA and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | diffusers/src/diffusers/schedulers/deprecated/scheduling_karras_ve.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/scheduling_karras_ve.py",
"repo_id": "diffusers",
"token_count": 4089
} | 238 |
"""Unit tests to verify function of the Riva ASR implementation."""
from typing import TYPE_CHECKING, Any, Generator
from unittest.mock import patch
import pytest
from langchain_community.utilities.nvidia_riva import (
AudioStream,
RivaASR,
RivaAudioEncoding,
)
if TYPE_CHECKING:
import riva.client
... | langchain/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py",
"repo_id": "langchain",
"token_count": 2151
} | 416 |
import * as fs from "node:fs/promises";
import { mkdtempSync } from "node:fs";
import { join } from "node:path";
import { BaseFileStore } from "./base.js";
/**
* Specific implementation of the `BaseFileStore` class for Node.js.
* Provides methods to read and write files in a specific base path.
*/
export class Nod... | langchainjs/langchain/src/stores/file/node.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/file/node.ts",
"repo_id": "langchainjs",
"token_count": 367
} | 952 |
import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.download_config import DownloadConfig
from ..download.streaming_download_manager import xopen, ... | datasets/src/datasets/features/audio.py/0 | {
"file_path": "datasets/src/datasets/features/audio.py",
"repo_id": "datasets",
"token_count": 5335
} | 140 |
"""ChatGPT Plugiun Tool."""
from typing import List, Optional
import requests
from llama_index.core.schema import Document
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.openapi.base import OpenAPIToolSpec
class ChatGPTPluginToolSpec(BaseToolSpec):
"""ChatGPT Plugin Tool.
... | llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/llama_index/tools/chatgpt_plugin/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/llama_index/tools/chatgpt_plugin/base.py",
"repo_id": "llama_index",
"token_count": 929
} | 1,434 |
from __future__ import annotations
from typing import Iterator, List
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class ToMarkdownLoader(BaseLoader):
"""Load `HTML` using `2markdown API`."""
def __init__(self, url: str, api_... | langchain/libs/community/langchain_community/document_loaders/tomarkdown.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/tomarkdown.py",
"repo_id": "langchain",
"token_count": 391
} | 261 |
# Select by similarity
This object selects examples based on similarity to the inputs. It does this by finding the examples with the embeddings that have the greatest cosine similarity with the inputs.
import CodeBlock from "@theme/CodeBlock";
import ExampleSimilarity from "@examples/prompts/semantic_similarity_examp... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/similarity.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/example_selector_types/similarity.mdx",
"repo_id": "langchainjs",
"token_count": 651
} | 772 |
<jupyter_start><jupyter_text>Benchmarking RAG Pipelines With A `LabelledRagDatatset`The `LabelledRagDataset` is meant to be used for evaluating any given RAG pipeline, for which there could be several configurations (i.e. choosing the `LLM`, values for the `similarity_top_k`, `chunk_size`, and others). We've likened th... | llama_index/docs/examples/llama_dataset/labelled-rag-datasets.ipynb/0 | {
"file_path": "llama_index/docs/examples/llama_dataset/labelled-rag-datasets.ipynb",
"repo_id": "llama_index",
"token_count": 1675
} | 1,106 |
from typing import Any
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
def argilla_callback_handler(**kwargs: Any) -> BaseCallbackHandler:
try:
# lazy import
from argilla_llama_index import ArgillaCallbackHandler
except ImportError:
raise ImportError("Please ... | llama_index/llama-index-legacy/llama_index/legacy/callbacks/argilla_callback.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/argilla_callback.py",
"repo_id": "llama_index",
"token_count": 132
} | 1,548 |
import {
BaseChatModel,
type BaseChatModelParams,
} from "@langchain/core/language_models/chat_models";
import {
AIMessage,
type BaseMessage,
ChatMessage,
} from "@langchain/core/messages";
import { type ChatResult } from "@langchain/core/outputs";
import { type CallbackManagerForLLMRun } from "@langchain/cor... | langchainjs/libs/langchain-community/src/chat_models/alibaba_tongyi.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/alibaba_tongyi.ts",
"repo_id": "langchainjs",
"token_count": 5271
} | 991 |
from langchain.schema.document import __all__
EXPECTED_ALL = ["BaseDocumentTransformer", "Document"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_document.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_document.py",
"repo_id": "langchain",
"token_count": 63
} | 616 |
import { expect, test } from "@jest/globals";
import { Voy as VoyOriginClient } from "voy-search";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { VoyVectorStore } from "../voy.js";
const client = new VoyOriginClient();
test("it can create index usi... | langchainjs/libs/langchain-community/src/vectorstores/tests/voy.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/voy.int.test.ts",
"repo_id": "langchainjs",
"token_count": 517
} | 1,090 |
<!--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... | peft/docs/source/developer_guides/contributing.md/0 | {
"file_path": "peft/docs/source/developer_guides/contributing.md",
"repo_id": "peft",
"token_count": 1564
} | 336 |
# The Pyramid environment
The goal in this environment is to train our agent to **get the gold brick on the top of the Pyramid. To do that, it needs to press a button to spawn a Pyramid, navigate to the Pyramid, knock it over, and move to the gold brick at the top**.
<img src="https://huggingface.co/datasets/huggingf... | deep-rl-class/units/en/unit5/pyramids.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/pyramids.mdx",
"repo_id": "deep-rl-class",
"token_count": 645
} | 161 |
from typing import Optional
from llama_index.core.storage.docstore.keyval_docstore import KVDocumentStore
from llama_index.core.storage.docstore.types import DEFAULT_BATCH_SIZE
from llama_index.storage.kvstore.postgres import PostgresKVStore
class PostgresDocumentStore(KVDocumentStore):
"""Mongo Document (Node) ... | llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/llama_index/storage/docstore/postgres/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/llama_index/storage/docstore/postgres/base.py",
"repo_id": "llama_index",
"token_count": 1136
} | 1,551 |
# LangChain Agents with LangSmith
[](https://github.com/langchain-ai/langsmith-cookbook/tree/main/./feedback-examples/streamlit-agent/README.md)
This streamlit walkthrough shows how to instrument a LangChain agent with tracing and feedback... | langsmith-cookbook/feedback-examples/streamlit-agent/README.md/0 | {
"file_path": "langsmith-cookbook/feedback-examples/streamlit-agent/README.md",
"repo_id": "langsmith-cookbook",
"token_count": 476
} | 1,010 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/llama_index/tools/bing_search/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/llama_index/tools/bing_search/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,433 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,551 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/pytorch/token-classification/README.md/0 | {
"file_path": "transformers/examples/pytorch/token-classification/README.md",
"repo_id": "transformers",
"token_count": 1430
} | 555 |
package writebuffer
import (
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/datanode/metacache"
"github.com/milvus-io/milvus/internal/datanode/syncmgr"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milv... | milvus/internal/datanode/writebuffer/bf_write_buffer.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/bf_write_buffer.go",
"repo_id": "milvus",
"token_count": 1450
} | 1,783 |
import { ChatCohere } from "@langchain/cohere";
import { HumanMessage } from "@langchain/core/messages";
const model = new ChatCohere({
apiKey: process.env.COHERE_API_KEY, // Default
model: "command", // Default
});
const response = await model.invoke(
[new HumanMessage("How tall are the largest pengiuns?")],
... | langchainjs/examples/src/models/chat/cohere/connectors.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/cohere/connectors.ts",
"repo_id": "langchainjs",
"token_count": 3308
} | 820 |
package types
import (
"math"
"github.com/google/uuid"
)
type Timestamp = int64
const MaxTimestamp = Timestamp(math.MaxInt64)
type UniqueID uuid.UUID
func NewUniqueID() UniqueID {
return UniqueID(uuid.New())
}
func (id UniqueID) String() string {
return uuid.UUID(id).String()
}
func MustParse(s string) Uniq... | chroma/go/coordinator/internal/types/types.go/0 | {
"file_path": "chroma/go/coordinator/internal/types/types.go",
"repo_id": "chroma",
"token_count": 380
} | 51 |
python_tests()
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,610 |
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