text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>BREEBS (Open Knowledge)[BREEBS](https://www.breebs.com/) is an open collaborative knowledge platform. Anybody can create a Breeb, a knowledge capsule, based on PDFs stored on a Google Drive folder.A breeb can be used by any LLM/chatbot to improve its expertise, reduce hallucinations and giv... | langchain/docs/docs/integrations/retrievers/breebs.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/breebs.ipynb",
"repo_id": "langchain",
"token_count": 740
} | 156 |
import os
from shutil import rmtree
from typing import Callable, Dict, List, Optional
import tqdm
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.schema import Document, QueryBundle
from llama_index.core.utils i... | llama_index/llama-index-core/llama_index/core/evaluation/benchmarks/beir.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/benchmarks/beir.py",
"repo_id": "llama_index",
"token_count": 2092
} | 1,172 |
<jupyter_start><jupyter_text>NucliaDBYou can use a local NucliaDB instance or use [Nuclia Cloud](https://nuclia.cloud).When using a local instance, you need a Nuclia Understanding API key, so your texts are properly vectorized and indexed. You can get a key by creating a free account at [https://nuclia.cloud](https://n... | langchain/docs/docs/integrations/vectorstores/nucliadb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/nucliadb.ipynb",
"repo_id": "langchain",
"token_count": 501
} | 192 |
"""Test utils."""
from typing import List
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.tools.utils import create_schema_from_function
def test_create_schema_from_function() -> None:
"""Test create schema from function."""
def test_fn(x: int, y: int, z: List[str]) -> None:
... | llama_index/llama-index-legacy/tests/tools/test_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/tools/test_utils.py",
"repo_id": "llama_index",
"token_count": 665
} | 1,763 |
# BiliBili
>[Bilibili](https://www.bilibili.tv/) is one of the most beloved long-form video sites in China.
## Installation and Setup
```bash
pip install bilibili-api-python
```
## Document Loader
See a [usage example](/docs/integrations/document_loaders/bilibili).
```python
from langchain_community.document_load... | langchain/docs/docs/integrations/providers/bilibili.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/bilibili.mdx",
"repo_id": "langchain",
"token_count": 116
} | 142 |
import { GooglePlacesAPI } from "@langchain/community/tools/google_places";
import { OpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
export async function run() {
const model = new OpenAI({
temperature: 0,
});
const tools = [new GooglePlacesAPI()];
... | langchainjs/examples/src/tools/google_places.ts/0 | {
"file_path": "langchainjs/examples/src/tools/google_places.ts",
"repo_id": "langchainjs",
"token_count": 183
} | 916 |
import { test, expect } from "@jest/globals";
import { SearchApi } from "../searchapi.js";
describe("SearchApi test suite", () => {
class SearchApiUrlTester extends SearchApi {
testThisUrl(): string {
return this.buildUrl("Query");
}
}
test("Test default url", async () => {
const searchApi = n... | langchainjs/libs/langchain-community/src/tools/tests/searchapi.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/tests/searchapi.test.ts",
"repo_id": "langchainjs",
"token_count": 229
} | 999 |
from langchain_community.chat_message_histories.upstash_redis import (
UpstashRedisChatMessageHistory,
)
__all__ = ["UpstashRedisChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/upstash_redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/upstash_redis.py",
"repo_id": "langchain",
"token_count": 53
} | 530 |
- title: Unit 0. Welcome to the RLHF Handbook!
sections:
- local: chapter0/introduction
title: What is this about? | alignment-handbook/chapters/en/_toctree.yml/0 | {
"file_path": "alignment-handbook/chapters/en/_toctree.yml",
"repo_id": "alignment-handbook",
"token_count": 38
} | 21 |
from llama_index.packs.agents_llm_compiler.base import LLMCompilerAgentPack
__all__ = ["LLMCompilerAgentPack"]
| llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/llama_index/packs/agents_llm_compiler/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/llama_index/packs/agents_llm_compiler/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,658 |
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { GenerationChunk } from "@langchain/core/outputs";
export interface CustomLLMInput extends BaseLLMParams {
n: number;
}
export class CustomLLM extends... | langchainjs/examples/src/models/llm/custom.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/custom.ts",
"repo_id": "langchainjs",
"token_count": 453
} | 810 |
package backend
import (
clientv3 "go.etcd.io/etcd/client/v3"
"github.com/milvus-io/milvus/cmd/tools/migration/configs"
"github.com/milvus-io/milvus/internal/kv"
etcdkv "github.com/milvus-io/milvus/internal/kv/etcd"
"github.com/milvus-io/milvus/pkg/util/etcd"
)
type etcdBasedBackend struct {
cfg *configs.M... | milvus/cmd/tools/migration/backend/etcd.go/0 | {
"file_path": "milvus/cmd/tools/migration/backend/etcd.go",
"repo_id": "milvus",
"token_count": 579
} | 1,702 |
#![allow(dead_code)]
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Error, Layout, Result, Shape};
#[derive(Debug, Clone)]
pub struct MetalDevice;
#[derive(Debug)]
pub struct MetalStorage;
#[derive(thiserror::Error, Debug)]
pub enum MetalError {
#[error("{0}")]
Message(... | candle/candle-core/src/dummy_metal_backend.rs/0 | {
"file_path": "candle/candle-core/src/dummy_metal_backend.rs",
"repo_id": "candle",
"token_count": 2690
} | 28 |
import logging
try:
from .candle import *
except ImportError as e:
# If we are in development mode, or we did not bundle the DLLs, we try to locate them here
# PyO3 wont give us any information about what DLLs are missing, so we can only try to load
# the DLLs and re-import the module
logging.warni... | candle/candle-pyo3/py_src/candle/__init__.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/__init__.py",
"repo_id": "candle",
"token_count": 919
} | 60 |
// 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/datacoord/handler.go/0 | {
"file_path": "milvus/internal/datacoord/handler.go",
"repo_id": "milvus",
"token_count": 5330
} | 1,774 |
"""Test Hippo functionality."""
from typing import List, Optional
from langchain_core.documents import Document
from langchain_community.vectorstores.hippo import Hippo
from tests.integration_tests.vectorstores.fake_embeddings import (
FakeEmbeddings,
fake_texts,
)
def _hippo_from_texts(
metadatas: Opt... | langchain/libs/community/tests/integration_tests/vectorstores/test_hippo.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_hippo.py",
"repo_id": "langchain",
"token_count": 794
} | 355 |
from langchain_community.document_loaders.max_compute import MaxComputeLoader
__all__ = ["MaxComputeLoader"]
| langchain/libs/langchain/langchain/document_loaders/max_compute.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/max_compute.py",
"repo_id": "langchain",
"token_count": 33
} | 493 |
<jupyter_start><jupyter_text>LLM Compiler Agent Cookbook**NOTE**: Full credits to the [source repo for LLMCompiler](https://github.com/SqueezeAILab/LLMCompiler). A lot of our implementation was lifted from this repo (and adapted with LlamaIndex modules).In this cookbook, we show how to use our LLMCompiler agent impleme... | llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/examples/llm_compiler.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/examples/llm_compiler.ipynb",
"repo_id": "llama_index",
"token_count": 2752
} | 1,769 |
# Stripe
>[Stripe](https://stripe.com/en-ca) is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.
## Installation and Setup
See [setup instructions](/docs/integr... | langchain/docs/docs/integrations/providers/stripe.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/stripe.mdx",
"repo_id": "langchain",
"token_count": 138
} | 149 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 7558
} | 443 |
# coding=utf-8
# Copyright 2021 ASAPP 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/licenses/LICENSE-2... | transformers/src/transformers/models/sew_d/modeling_sew_d.py/0 | {
"file_path": "transformers/src/transformers/models/sew_d/modeling_sew_d.py",
"repo_id": "transformers",
"token_count": 32314
} | 656 |
/* eslint-disable prefer-template */
/* eslint-disable no-param-reassign */
// eslint-disable-next-line import/no-extraneous-dependencies
const babel = require("@babel/core");
const path = require("path");
const fs = require("fs");
/**
*
* @param {string|Buffer} content Content of the resource file
* @param {object... | langchain/docs/code-block-loader.js/0 | {
"file_path": "langchain/docs/code-block-loader.js",
"repo_id": "langchain",
"token_count": 918
} | 87 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/tools/test_translation.py/0 | {
"file_path": "transformers/tests/tools/test_translation.py",
"repo_id": "transformers",
"token_count": 1249
} | 839 |
# coding=utf-8
# Copyright 2022 The OpenAI Team 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/L... | transformers/src/transformers/models/clipseg/modeling_clipseg.py/0 | {
"file_path": "transformers/src/transformers/models/clipseg/modeling_clipseg.py",
"repo_id": "transformers",
"token_count": 27595
} | 580 |
from langchain_community.document_loaders.parsers.grobid import (
GrobidParser,
ServerUnavailableException,
)
__all__ = ["GrobidParser", "ServerUnavailableException"]
| langchain/libs/langchain/langchain/document_loaders/parsers/grobid.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/grobid.py",
"repo_id": "langchain",
"token_count": 56
} | 496 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv3/image_processing_layoutlmv3.py",
"repo_id": "transformers",
"token_count": 7554
} | 634 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rapido
- local: installation
title: Installazione
title: Iniziare
- sections:
- local: pipeline_tutorial
title: Pipeline per l'inferenza
- local: autoclass_tutorial
title: Carica istanze pre-allenate con Aut... | transformers/docs/source/it/_toctree.yml/0 | {
"file_path": "transformers/docs/source/it/_toctree.yml",
"repo_id": "transformers",
"token_count": 771
} | 531 |
//! Variable initialization.
// This is based on:
// https://github.com/pytorch/pytorch/blob/07107919297db3f8ab37f11c12666b6d6d5f692e/torch/nn/init.py#
use candle::{DType, Device, Result, Shape, Tensor, Var};
/// Number of features as input or output of a layer.
/// In Kaiming initialization, choosing `FanIn` preserve... | candle/candle-nn/src/init.rs/0 | {
"file_path": "candle/candle-nn/src/init.rs",
"repo_id": "candle",
"token_count": 2212
} | 57 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,334 |
# Serialization
| candle/candle-book/src/training/serialization.md/0 | {
"file_path": "candle/candle-book/src/training/serialization.md",
"repo_id": "candle",
"token_count": 4
} | 29 |
import {
type BaseMessage,
ToolMessage,
AIMessage,
} from "@langchain/core/messages";
import type { ToolsAgentStep } from "../openai/output_parser.js";
export function formatToOpenAIToolMessages(
steps: ToolsAgentStep[]
): BaseMessage[] {
return steps.flatMap(({ action, observation }) => {
if ("messageLo... | langchainjs/langchain/src/agents/format_scratchpad/openai_tools.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/format_scratchpad/openai_tools.ts",
"repo_id": "langchainjs",
"token_count": 244
} | 878 |
// 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/util/contextutil/context_util.go/0 | {
"file_path": "milvus/pkg/util/contextutil/context_util.go",
"repo_id": "milvus",
"token_count": 584
} | 1,824 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,317 |
from llama_index.readers.kibela.base import KibelaReader
__all__ = ["KibelaReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,373 |
# flake8: noqa
from typing import TYPE_CHECKING
from ....utils import (
DIFFUSERS_SLOW_IMPORT,
_LazyModule,
is_note_seq_available,
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
get_objects_from_module,
)
_dummy_objects = {}
_import_structure = {}
try:
i... | diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 985
} | 243 |
use super::schedulers::{betas_for_alpha_bar, BetaSchedule, PredictionType};
use candle::{Result, Tensor};
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum DDPMVarianceType {
FixedSmall,
FixedSmallLog,
FixedLarge,
FixedLargeLog,
Learned,
}
impl Default for DDPMVarianceType {
fn default() -> Self... | candle/candle-transformers/src/models/stable_diffusion/ddpm.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/ddpm.rs",
"repo_id": "candle",
"token_count": 3662
} | 75 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/extractors/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/extractors/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,617 |
from typing import Dict, Generator, List, Optional, Sequence, Union
import numpy as np
from numpy.typing import NDArray
import pytest
import chromadb
from chromadb.api.types import URI, DataLoader, Documents, IDs, Image, URIs
from chromadb.api import ServerAPI
from chromadb.test.ef.test_multimodal_ef import hashing_mu... | chroma/chromadb/test/data_loader/test_data_loader.py/0 | {
"file_path": "chroma/chromadb/test/data_loader/test_data_loader.py",
"repo_id": "chroma",
"token_count": 1428
} | 21 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.psychic import PsychicReader
def test_class():
names_of_base_classes = [b.__name__ for b in PsychicReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-psychic/tests/test_readers_psychic.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-psychic/tests/test_readers_psychic.py",
"repo_id": "llama_index",
"token_count": 86
} | 1,369 |
"""Init file."""
| llama_index/llama-index-core/tests/prompts/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/prompts/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,165 |
// 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/indexnode/client/client.go/0 | {
"file_path": "milvus/internal/distributed/indexnode/client/client.go",
"repo_id": "milvus",
"token_count": 2257
} | 1,850 |
"""Test the base tool implementation."""
import json
from datetime import datetime
from enum import Enum
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Type, Union
import pytest
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToo... | langchain/libs/core/tests/unit_tests/test_tools.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/test_tools.py",
"repo_id": "langchain",
"token_count": 10890
} | 439 |
from llama_index.readers.firebase_realtimedb.base import FirebaseRealtimeDatabaseReader
__all__ = ["FirebaseRealtimeDatabaseReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/llama_index/readers/firebase_realtimedb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/llama_index/readers/firebase_realtimedb/__init__.py",
"repo_id": "llama_index",
"token_count": 41
} | 1,497 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/llama_index/readers/opensearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/llama_index/readers/opensearch/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,352 |
from llama_index.readers.genius.base import GeniusReader
__all__ = ["GeniusReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-genius/llama_index/readers/genius/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-genius/llama_index/readers/genius/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,368 |
import {
CloseVectorHNSWWeb,
HierarchicalNSWT,
CloseVectorHNSWLibArgs,
CloseVectorCredentials,
HnswlibModule,
} from "closevector-web";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { Document } from "@langchain/core/documents";
import { CloseVector } from "./common.js";
/**... | langchainjs/libs/langchain-community/src/vectorstores/closevector/web.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/closevector/web.ts",
"repo_id": "langchainjs",
"token_count": 2111
} | 1,022 |
package indexnode
import (
"context"
"github.com/milvus-io/milvus/internal/types"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
type mockIndexNodeComponent struct {
*IndexNode
}
var _ types.IndexNodeComponent = &mockIndexNodeComponent{}
func NewMockIndexNodeComponent(ctx context.Context) (types.IndexNode... | milvus/internal/indexnode/indexnode_component_mock.go/0 | {
"file_path": "milvus/internal/indexnode/indexnode_component_mock.go",
"repo_id": "milvus",
"token_count": 312
} | 1,820 |
---
sidebar_position: 3
---
# Chat Models
ChatModels are a core component of LangChain.
LangChain does not serve its own ChatModels, but rather provides a standard interface for interacting with many different models. To be specific, this interface is one that takes as input a list of messages and returns a message.
... | langchain/docs/docs/modules/model_io/chat/index.mdx/0 | {
"file_path": "langchain/docs/docs/modules/model_io/chat/index.mdx",
"repo_id": "langchain",
"token_count": 312
} | 205 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,482 |
# 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 required by applicabl... | transformers/tests/models/beit/test_modeling_flax_beit.py/0 | {
"file_path": "transformers/tests/models/beit/test_modeling_flax_beit.py",
"repo_id": "transformers",
"token_count": 4819
} | 706 |
# Copyright 2021 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/cer/test_cer.py/0 | {
"file_path": "datasets/metrics/cer/test_cer.py",
"repo_id": "datasets",
"token_count": 2407
} | 117 |
// 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/proxy/lb_policy.go/0 | {
"file_path": "milvus/internal/proxy/lb_policy.go",
"repo_id": "milvus",
"token_count": 2716
} | 1,880 |
<!--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/overview.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/overview.md",
"repo_id": "diffusers",
"token_count": 1892
} | 184 |
import type {
HierarchicalNSW as HierarchicalNSWT,
SpaceName,
} from "hnswlib-node";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { SaveableVectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
import { SynchronousInMemoryDocstore }... | langchainjs/libs/langchain-community/src/vectorstores/hnswlib.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/hnswlib.ts",
"repo_id": "langchainjs",
"token_count": 4336
} | 1,082 |
<jupyter_start><jupyter_text>Building Retrieval from ScratchIn this tutorial, we show you how to build a standard retriever against a vector database, that will fetch nodes via top-k similarity.We use Pinecone as the vector database. We load in nodes using our high-level ingestion abstractions (to see how to build this... | llama_index/docs/examples/low_level/retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/low_level/retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 2452
} | 1,071 |
<jupyter_start><jupyter_text>Local Peristence DemoThis notebook demonstrates how to configure Chroma to persist to disk, then load it back in.<jupyter_code>import chromadb
# Create a new Chroma client with persistence enabled.
persist_directory = "db"
client = chromadb.PersistentClient(path=persist_directory)
# Crea... | chroma/examples/basic_functionality/local_persistence.ipynb/0 | {
"file_path": "chroma/examples/basic_functionality/local_persistence.ipynb",
"repo_id": "chroma",
"token_count": 753
} | 36 |
<!--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... | transformers/docs/source/en/main_classes/agent.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/agent.md",
"repo_id": "transformers",
"token_count": 812
} | 436 |
package typeutil
import (
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/planpb"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
// HashKey2Partitions hash partition keys to partitions
func HashKey2Partitions(fieldSchema *schem... | milvus/internal/util/typeutil/hash.go/0 | {
"file_path": "milvus/internal/util/typeutil/hash.go",
"repo_id": "milvus",
"token_count": 583
} | 1,887 |
// 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/Collection.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/Collection.cpp",
"repo_id": "milvus",
"token_count": 792
} | 1,933 |
from enum import Enum
from typing import Union
import torch
class Format(str, Enum):
NCHW = 'NCHW'
NHWC = 'NHWC'
NCL = 'NCL'
NLC = 'NLC'
FormatT = Union[str, Format]
def get_spatial_dim(fmt: FormatT):
fmt = Format(fmt)
if fmt is Format.NLC:
dim = (1,)
elif fmt is Format.NCL:
... | pytorch-image-models/timm/layers/format.py/0 | {
"file_path": "pytorch-image-models/timm/layers/format.py",
"repo_id": "pytorch-image-models",
"token_count": 572
} | 375 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,564 |
// 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/datacoord/cluster_test.go/0 | {
"file_path": "milvus/internal/datacoord/cluster_test.go",
"repo_id": "milvus",
"token_count": 2641
} | 1,910 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/Types.h/0 | {
"file_path": "milvus/internal/core/src/common/Types.h",
"repo_id": "milvus",
"token_count": 6271
} | 1,921 |
import asyncio
import time
from typing import Any, AsyncIterator, Iterator, List, Mapping, Optional
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import LLM, LanguageModelInput
from langchain_core.runnables import R... | langchain/libs/core/tests/unit_tests/fake/llm.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/fake/llm.py",
"repo_id": "langchain",
"token_count": 1339
} | 415 |
"""Different ways to combine documents."""
from langchain.chains.combine_documents.reduce import (
acollapse_docs,
collapse_docs,
split_list_of_docs,
)
from langchain.chains.combine_documents.stuff import create_stuff_documents_chain
__all__ = [
"acollapse_docs",
"collapse_docs",
"split_list_o... | langchain/libs/langchain/langchain/chains/combine_documents/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/__init__.py",
"repo_id": "langchain",
"token_count": 139
} | 457 |
"""Tree Index inserter."""
from typing import Optional, Sequence
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.indices.tree.utils import get_numbered_text_from_nodes
from llama_index.legacy.indices.utils import (
extract_numbers_given_response,
get_sorted_node_lis... | llama_index/llama-index-legacy/llama_index/legacy/indices/tree/inserter.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/tree/inserter.py",
"repo_id": "llama_index",
"token_count": 3672
} | 1,578 |
python_sources()
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-you/llama_index/retrievers/you/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-you/llama_index/retrievers/you/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,457 |
"""SQL Join query engine."""
import logging
from typing import Callable, Dict, Optional, Union
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core... | llama_index/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py",
"repo_id": "llama_index",
"token_count": 5305
} | 1,211 |
# gemini-functions-agent
This template creates an agent that uses Google Gemini function calling to communicate its decisions on what actions to take.
This example creates an agent that can optionally look up information on the internet using Tavily's search engine.
[See an example LangSmith trace here](https://sm... | langchain/templates/gemini-functions-agent/README.md/0 | {
"file_path": "langchain/templates/gemini-functions-agent/README.md",
"repo_id": "langchain",
"token_count": 716
} | 649 |
# coding=utf-8
# Copyright 2024 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... | diffusers/src/diffusers/models/modeling_flax_pytorch_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_flax_pytorch_utils.py",
"repo_id": "diffusers",
"token_count": 2324
} | 235 |
# @langchain/weaviate
This package contains the LangChain.js integrations for Weaviate with the `weaviate-ts-client` SDK.
## Installation
```bash npm2yarn
npm install @langchain/weaviate
```
## Vectorstore
This package adds support for Weaviate vectorstore.
To follow along with this example install the `@langchai... | langchainjs/libs/langchain-weaviate/README.md/0 | {
"file_path": "langchainjs/libs/langchain-weaviate/README.md",
"repo_id": "langchainjs",
"token_count": 751
} | 1,046 |
# Simple VQGAN CLIP
Author: @ErwannMillon
This is a very simple VQGAN-CLIP implementation that was built as a part of the <a href= "https://github.com/ErwannMillon/face-editor"> Face Editor project </a> . This simplified version allows you to generate or edit images using text with just three lines of code. For a mo... | transformers/examples/research_projects/vqgan-clip/README.md/0 | {
"file_path": "transformers/examples/research_projects/vqgan-clip/README.md",
"repo_id": "transformers",
"token_count": 777
} | 557 |
#include <torch/extension.h>
#include <c10/cuda/CUDAGuard.h>
#include <ATen/cuda/CUDAContext.h>
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#include "config.h"
#include "cuda/q_matrix.cuh"
#include "cuda/q_gemm.cuh"
#include "cpp/util.h"
// Some decluttering macros
#define... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/ext.cpp/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/ext.cpp",
"repo_id": "text-generation-inference",
"token_count": 2184
} | 410 |
from tokenizers import Tokenizer
from ..utils import data_dir, doc_pipeline_bert_tokenizer, doc_wiki_tokenizer
disable_printing = True
original_print = print
def print(*args, **kwargs):
if not disable_printing:
original_print(*args, **kwargs)
class TestPipeline:
def test_pipeline(self, doc_wiki_t... | tokenizers/bindings/python/tests/documentation/test_pipeline.py/0 | {
"file_path": "tokenizers/bindings/python/tests/documentation/test_pipeline.py",
"repo_id": "tokenizers",
"token_count": 3351
} | 464 |
[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 = ["HuggingFaceEmbedding", "HuggingFaceInferenceAPIEmbedding", "HuggingFaceInferenceAPIEmbedd... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml",
"repo_id": "llama_index",
"token_count": 729
} | 1,232 |
""" Swin Transformer V2
A PyTorch impl of : `Swin Transformer V2: Scaling Up Capacity and Resolution`
- https://arxiv.org/abs/2111.09883
Code/weights from https://github.com/microsoft/Swin-Transformer, original copyright/license info below
Modifications and additions for timm hacked together by / Copyright 2022, ... | pytorch-image-models/timm/models/swin_transformer_v2.py/0 | {
"file_path": "pytorch-image-models/timm/models/swin_transformer_v2.py",
"repo_id": "pytorch-image-models",
"token_count": 16762
} | 407 |
from langchain_community.document_loaders.directory import (
DirectoryLoader,
)
__all__ = ["DirectoryLoader"]
| langchain/libs/langchain/langchain/document_loaders/directory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/directory.py",
"repo_id": "langchain",
"token_count": 34
} | 488 |
# LlamaHub Tools Guide
We offer a rich set of Tool Specs that are offered through [LlamaHub](https://llamahub.ai/) 🦙.
These tool specs represent an initial curated list of services that an agent can interact with and enrich its capability to perform different actions.
We a... | llama_index/docs/module_guides/deploying/agents/tools/llamahub_tools_guide.md/0 | {
"file_path": "llama_index/docs/module_guides/deploying/agents/tools/llamahub_tools_guide.md",
"repo_id": "llama_index",
"token_count": 865
} | 1,090 |
# 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/test_utils/scripts/external_deps/test_metrics.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/external_deps/test_metrics.py",
"repo_id": "accelerate",
"token_count": 4705
} | 17 |
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
Adapted From Facebook Inc, Detectron2 && Huggingface Co.
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... | transformers/examples/research_projects/visual_bert/modeling_frcnn.py/0 | {
"file_path": "transformers/examples/research_projects/visual_bert/modeling_frcnn.py",
"repo_id": "transformers",
"token_count": 34766
} | 617 |
import importlib.util
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
class SpacyEmbeddings(BaseModel, Embeddings):
"""Embeddings by spaCy models.
Attributes:
model_name (str): Name ... | langchain/libs/community/langchain_community/embeddings/spacy_embeddings.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/spacy_embeddings.py",
"repo_id": "langchain",
"token_count": 1658
} | 273 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,426 |
# SearxNG Search API
This page covers how to use the SearxNG search API within LangChain.
It is broken into two parts: installation and setup, and then references to the specific SearxNG API wrapper.
## Installation and Setup
While it is possible to utilize the wrapper in conjunction with [public searx
instances](h... | langchain/docs/docs/integrations/providers/searx.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/searx.mdx",
"repo_id": "langchain",
"token_count": 1060
} | 158 |
from langchain_community.llms.mosaicml import (
MosaicML,
)
__all__ = [
"MosaicML",
]
| langchain/libs/langchain/langchain/llms/mosaicml.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/mosaicml.py",
"repo_id": "langchain",
"token_count": 45
} | 549 |
"""Base schema for data structures."""
import json
import textwrap
import uuid
from abc import abstractmethod
from dataclasses import dataclass
from enum import Enum, auto
from hashlib import sha256
from io import BytesIO
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
from dataclasses_json import D... | llama_index/llama-index-core/llama_index/core/schema.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/schema.py",
"repo_id": "llama_index",
"token_count": 9635
} | 1,217 |
package dao
import (
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"gorm.io/gorm"
"gorm.io/gorm/clause"
)
type segmentMetadataDb struct {
db *gorm.DB
}
func (s *segmentMetadataDb) DeleteAll() error {
return s.db.Where("1 = 1").Delete(&dbmodel.SegmentMetadata{}).Error
}
func (s *segmentMe... | chroma/go/coordinator/internal/metastore/db/dao/segment_metadata.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/segment_metadata.go",
"repo_id": "chroma",
"token_count": 396
} | 46 |
[tool.poetry]
name = "research-assistant"
version = "0.0.1"
description = "Uses GPT Researcher as a research agent"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
beautifulsoup4 = "^4.12.2"
duckduckgo-search = "^3.9.5"
tavily-python = "^0.2.6"
[to... | langchain/templates/research-assistant/pyproject.toml/0 | {
"file_path": "langchain/templates/research-assistant/pyproject.toml",
"repo_id": "langchain",
"token_count": 308
} | 696 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/dance_diffusion/test_dance_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/dance_diffusion/test_dance_diffusion.py",
"repo_id": "diffusers",
"token_count": 2422
} | 261 |
from llama_index.core.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.storage.index_store.postgres import PostgresIndexStore
def test_class():
names_of_base_classes = [b.__name__ for b in PostgresIndexStore.__mro__]
assert KVIndexStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/tests/test_storage_index_store_postgres.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/tests/test_storage_index_store_postgres.py",
"repo_id": "llama_index",
"token_count": 105
} | 1,496 |
"""Util that calls SceneXplain.
In order to set this up, you need API key for the SceneXplain API.
You can obtain a key by following the steps below.
- Sign up for a free account at https://scenex.jina.ai/.
- Navigate to the API Access page (https://scenex.jina.ai/api) and create a new API key.
"""
from typing import ... | langchain/libs/community/langchain_community/utilities/scenexplain.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/scenexplain.py",
"repo_id": "langchain",
"token_count": 952
} | 330 |
[tool.poetry]
name = "sql-research-assistant"
version = "0.0.1"
description = "Uses GPT Researcher as a research agent over SQL"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "^0.28.1"
bs4 = "^0.0.1"
duckduckgo-search = "^4.1.0"
[tool.poetry.group.dev... | langchain/templates/sql-research-assistant/pyproject.toml/0 | {
"file_path": "langchain/templates/sql-research-assistant/pyproject.toml",
"repo_id": "langchain",
"token_count": 314
} | 683 |
# Handle parsing errors
Occasionally the LLM cannot determine what step to take because it outputs format in incorrect form to be handled by the output parser.
In this case, by default the agent errors. You can control this functionality by passing `handleParsingErrors` when initializing the agent
executor. This field... | langchainjs/docs/core_docs/docs/modules/agents/how_to/handle_parsing_errors.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/how_to/handle_parsing_errors.mdx",
"repo_id": "langchainjs",
"token_count": 391
} | 801 |
from llama_index.core.output_parsers.base import ChainableOutputParser
from llama_index.output_parsers.guardrails import GuardrailsOutputParser
def test_class():
names_of_base_classes = [b.__name__ for b in GuardrailsOutputParser.__mro__]
assert ChainableOutputParser.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/tests/test_output_parsers_guardrails.py/0 | {
"file_path": "llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/tests/test_output_parsers_guardrails.py",
"repo_id": "llama_index",
"token_count": 103
} | 1,433 |
import logging
from threading import Thread
from typing import Any, List, Optional, Type
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.base.response.schema import RESPONSE_TYPE, StreamingResponse
from llam... | llama_index/llama-index-core/llama_index/core/chat_engine/condense_question.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/chat_engine/condense_question.py",
"repo_id": "llama_index",
"token_count": 5775
} | 1,139 |
server.name: opensearch-dashboards
server.host: "0.0.0.0"
opensearch.hosts: http://localhost:9200 | langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/opensearch/opensearch_dashboards.yml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/docker-compose/opensearch/opensearch_dashboards.yml",
"repo_id": "langchain",
"token_count": 38
} | 350 |
---
title: Custom template formats
---
# Alternate prompt template formats
The primary template format for LangChain prompts is the simple and versatile `f-string`.
LangChain.js supports [`handlebars`](https://handlebarsjs.com/) as an experimental alternative.
Note that templates created this way cannot be added to ... | langchainjs/docs/core_docs/docs/modules/experimental/prompts/custom_formats.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/experimental/prompts/custom_formats.mdx",
"repo_id": "langchainjs",
"token_count": 202
} | 790 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-minio/llama_index/readers/minio/minio_client/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-minio/llama_index/readers/minio/minio_client/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,388 |
from llama_index.vector_stores.upstash.base import UpstashVectorStore
__all__ = ["UpstashVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/llama_index/vector_stores/upstash/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/llama_index/vector_stores/upstash/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,547 |
"""Relevant prompts for constructing indexes."""
| langchain/libs/langchain/langchain/indexes/prompts/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/indexes/prompts/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 556 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/dreambooth.md/0 | {
"file_path": "diffusers/docs/source/ko/training/dreambooth.md",
"repo_id": "diffusers",
"token_count": 11697
} | 197 |
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