text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,456 |
package command
import (
"context"
"github.com/milvus-io/milvus/cmd/tools/migration/configs"
"github.com/milvus-io/milvus/cmd/tools/migration/console"
"github.com/milvus-io/milvus/cmd/tools/migration/migration"
)
func Backup(c *configs.Config) {
ctx := context.Background()
runner := migration.NewRunner(ctx, c)... | milvus/cmd/tools/migration/command/backup.go/0 | {
"file_path": "milvus/cmd/tools/migration/command/backup.go",
"repo_id": "milvus",
"token_count": 220
} | 1,896 |
package planparserv2
const float64EqualityThreshold = 1e-9
func floatingEqual(a, b float64) bool {
// return math.Abs(a-b) <= float64EqualityThreshold
return a == b
}
| milvus/internal/parser/planparserv2/floating_comparision.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/floating_comparision.go",
"repo_id": "milvus",
"token_count": 63
} | 2,006 |
# candle-bert
Bert is a general large language model. In this example it can be used for two
different tasks:
- Compute sentence embeddings for a prompt.
- Compute similarities between a set of sentences.
## Sentence embeddings
Bert is used to compute the sentence embeddings for a prompt. The model weights
are down... | candle/candle-examples/examples/bert/README.md/0 | {
"file_path": "candle/candle-examples/examples/bert/README.md",
"repo_id": "candle",
"token_count": 1564
} | 42 |
""" Inception-V3
Originally from torchvision Inception3 model
Licensed BSD-Clause 3 https://github.com/pytorch/vision/blob/master/LICENSE
"""
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.data import IMAGENET_DEFAULT_STD, IMAGENET_DEFAULT_MEAN, IMAGENET_IN... | pytorch-image-models/timm/models/inception_v3.py/0 | {
"file_path": "pytorch-image-models/timm/models/inception_v3.py",
"repo_id": "pytorch-image-models",
"token_count": 8581
} | 399 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 15,
"logprob": null,
"text": ","
},
{
"id": 1669,
"logprob": -5.4414062,
"text": " il"
},
{
"id": 1158... | text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m/test_bloom_560m_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_bloom_560m/test_bloom_560m_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1199
} | 403 |
# Copyright 2024 Stanford University Team 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/schedulers/scheduling_ddim_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ddim_flax.py",
"repo_id": "diffusers",
"token_count": 5374
} | 261 |
from langchain_community.agent_toolkits import SQLDatabaseToolkit
from langchain_community.utilities.sql_database import SQLDatabase
from langchain.agents import create_sql_agent
from tests.unit_tests.llms.fake_llm import FakeLLM
def test_create_sql_agent() -> None:
db = SQLDatabase.from_uri("sqlite:///:memory:"... | langchain/libs/langchain/tests/unit_tests/agents/test_sql.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_sql.py",
"repo_id": "langchain",
"token_count": 229
} | 593 |
import { CallbackManagerForToolRun } from "@langchain/core/callbacks/manager";
import { Tool, type ToolParams } from "@langchain/core/tools";
import Exa, { ContentsOptions, RegularSearchOptions } from "exa-js";
/**
* Options for the ExaSearchResults tool.
*/
export type ExaSearchRetrieverFields<
T extends Contents... | langchainjs/libs/langchain-exa/src/tools.ts/0 | {
"file_path": "langchainjs/libs/langchain-exa/src/tools.ts",
"repo_id": "langchainjs",
"token_count": 667
} | 1,004 |
import requests
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text, Number
from langchain.chat_models import ChatOpenAI
from langchain.docstore.document import Document
# Extraction schema -
schema = Object(
id = "episode_id",
description = "An ID for each Lex Fridman podcas... | auto-evaluator/streamlit/kor_retriever_lex.py/0 | {
"file_path": "auto-evaluator/streamlit/kor_retriever_lex.py",
"repo_id": "auto-evaluator",
"token_count": 575
} | 6 |
// 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/lock/key_lock.go/0 | {
"file_path": "milvus/pkg/util/lock/key_lock.go",
"repo_id": "milvus",
"token_count": 1129
} | 1,941 |
from langchain_community.document_loaders.brave_search import BraveSearchLoader
__all__ = ["BraveSearchLoader"]
| langchain/libs/langchain/langchain/document_loaders/brave_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/brave_search.py",
"repo_id": "langchain",
"token_count": 31
} | 477 |
use candle::{Result, Tensor};
#[derive(Debug, Clone)]
pub struct DDPMWSchedulerConfig {
scaler: f64,
s: f64,
}
impl Default for DDPMWSchedulerConfig {
fn default() -> Self {
Self {
scaler: 1f64,
s: 0.008f64,
}
}
}
pub struct DDPMWScheduler {
init_alpha_cump... | candle/candle-transformers/src/models/wuerstchen/ddpm.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/ddpm.rs",
"repo_id": "candle",
"token_count": 1537
} | 80 |
# 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... | transformers/src/transformers/models/llama/modeling_llama.py/0 | {
"file_path": "transformers/src/transformers/models/llama/modeling_llama.py",
"repo_id": "transformers",
"token_count": 30119
} | 682 |
<html>
<div role="main">
Hello World!
</div>
</html> | langchain/libs/community/tests/unit_tests/document_loaders/test_docs/readthedocs/div_role_main/test.html/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_docs/readthedocs/div_role_main/test.html",
"repo_id": "langchain",
"token_count": 31
} | 370 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.patentsview import PatentsviewReader
def test_class():
names_of_base_classes = [b.__name__ for b in PatentsviewReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/tests/test_readers_patentsview.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/tests/test_readers_patentsview.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,364 |
use candle::{DType, Device, IndexOp, Result, Tensor, D};
use candle_nn::{embedding, Embedding, LayerNorm, Linear, Module, VarBuilder};
fn linear(size1: usize, size2: usize, bias: bool, vb: VarBuilder) -> Result<Linear> {
let weight = vb.get((size2, size1), "weight")?;
let bias = if bias {
Some(vb.get(s... | candle/candle-transformers/src/models/bigcode.rs/0 | {
"file_path": "candle/candle-transformers/src/models/bigcode.rs",
"repo_id": "candle",
"token_count": 6402
} | 66 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/usage_guides/tracking.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/tracking.md",
"repo_id": "accelerate",
"token_count": 2703
} | 4 |
"""Base interfaces for tracing runs."""
from __future__ import annotations
import logging
import sys
import traceback
from abc import ABC, abstractmethod
from datetime import datetime, timezone
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Literal,
Optional,
Sequence,
Set,
Un... | langchain/libs/core/langchain_core/tracers/base.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/base.py",
"repo_id": "langchain",
"token_count": 11426
} | 399 |
<jupyter_start><jupyter_text>Lantern Vector Store (auto-retriever)This guide shows how to perform **auto-retrieval** in LlamaIndex. Many popular vector DBs support a set of metadata filters in addition to a query string for semantic search. Given a natural language query, we first use the LLM to infer a set of metadata... | llama_index/docs/examples/vector_stores/LanternAutoRetriever.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/LanternAutoRetriever.ipynb",
"repo_id": "llama_index",
"token_count": 2156
} | 1,111 |
{
"name": "@langchain/cohere",
"version": "0.0.5",
"description": "Cohere integration for LangChain.js",
"type": "module",
"engines": {
"node": ">=18"
},
"main": "./index.js",
"types": "./index.d.ts",
"repository": {
"type": "git",
"url": "git@github.com:langchain-ai/langchainjs.git"
},
... | langchainjs/libs/langchain-cohere/package.json/0 | {
"file_path": "langchainjs/libs/langchain-cohere/package.json",
"repo_id": "langchainjs",
"token_count": 1659
} | 972 |
// 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/querycoordv2/job/job_sync.go/0 | {
"file_path": "milvus/internal/querycoordv2/job/job_sync.go",
"repo_id": "milvus",
"token_count": 996
} | 1,759 |
"""Abstract interface for document loader implementations."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, AsyncIterator, Iterator, List, Optional
from langchain_core.documents import Document
from langchain_core.runnables import run_in_executor
from langch... | langchain/libs/community/langchain_community/document_loaders/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/base.py",
"repo_id": "langchain",
"token_count": 1306
} | 245 |
import { BaseMessage, HumanMessage } from "../../messages/index.js";
import { RunnableLambda } from "../base.js";
import { RunnableConfig } from "../config.js";
import { RunnableWithMessageHistory } from "../history.js";
import {
BaseChatMessageHistory,
BaseListChatMessageHistory,
} from "../../chat_history.js";
im... | langchainjs/langchain-core/src/runnables/tests/runnable_history.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_history.test.ts",
"repo_id": "langchainjs",
"token_count": 1642
} | 839 |
import {
Runnable,
RunnableLike,
_coerceToDict,
_coerceToRunnable,
} from "./base.js";
import {
RunnableConfig,
getCallbackManagerForConfig,
patchConfig,
} from "./config.js";
import { CallbackManagerForChainRun } from "../callbacks/manager.js";
import { concat } from "../utils/stream.js";
/**
* Type fo... | langchainjs/langchain-core/src/runnables/branch.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/branch.ts",
"repo_id": "langchainjs",
"token_count": 3206
} | 857 |
# coding=utf-8
# Copyright 2021 The Facebook AI Research Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | transformers/src/transformers/models/mbart50/tokenization_mbart50.py/0 | {
"file_path": "transformers/src/transformers/models/mbart50/tokenization_mbart50.py",
"repo_id": "transformers",
"token_count": 7343
} | 630 |
<jupyter_start><jupyter_code>from main import benchmark
df = benchmark(verbose=True, models=["llama13b-v2-chat", "llama70b-v2-chat"])<jupyter_output>=========================================
Evaluating | react | llama13b-v2-chat | What is 123 + 321 * 2? |
[38;5;200m[1;3mResponse: To evaluate the expression `123 + 32... | llama_index/benchmarks/agent/agent_benchmark.ipynb/0 | {
"file_path": "llama_index/benchmarks/agent/agent_benchmark.ipynb",
"repo_id": "llama_index",
"token_count": 542
} | 1,074 |
python_sources()
| llama_index/llama-index-finetuning/llama_index/finetuning/cross_encoders/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/cross_encoders/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,220 |
package model
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus/internal/proto/indexpb"
)
var (
segmentID = int64(1)
buildID = int64(1)
segmentIdxPb = &indexpb.SegmentIndex{
CollectionID: colID,
PartitionID: p... | milvus/internal/metastore/model/segment_index_test.go/0 | {
"file_path": "milvus/internal/metastore/model/segment_index_test.go",
"repo_id": "milvus",
"token_count": 595
} | 1,829 |
"""Init file of LlamaIndex."""
from pathlib import Path
with open(Path(__file__).absolute().parents[0] / "VERSION") as _f:
__version__ = _f.read().strip()
import logging
from logging import NullHandler
from typing import Callable, Optional
# import global eval handler
from llama_index.legacy.callbacks.global_h... | llama_index/llama-index-legacy/llama_index/legacy/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/__init__.py",
"repo_id": "llama_index",
"token_count": 1594
} | 1,634 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.bitbucket import BitbucketReader
def test_class():
names_of_base_classes = [b.__name__ for b in BitbucketReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/tests/test_readers_bitbucket.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bitbucket/tests/test_readers_bitbucket.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,344 |
from langchain_community.vectorstores.xata import XataVectorStore
__all__ = ["XataVectorStore"]
| langchain/libs/langchain/langchain/vectorstores/xata.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/xata.py",
"repo_id": "langchain",
"token_count": 29
} | 581 |
from typing import Any, List, Literal
from langchain_core.messages.base import (
BaseMessage,
BaseMessageChunk,
merge_content,
)
class FunctionMessage(BaseMessage):
"""Message for passing the result of executing a function back to a model."""
name: str
"""The name of the function that was ex... | langchain/libs/core/langchain_core/messages/function.py/0 | {
"file_path": "langchain/libs/core/langchain_core/messages/function.py",
"repo_id": "langchain",
"token_count": 688
} | 414 |
"""
ECA module from ECAnet
paper: ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
https://arxiv.org/abs/1910.03151
Original ECA model borrowed from https://github.com/BangguWu/ECANet
Modified circular ECA implementation and adaption for use in timm package
by Chris Ha https://github.com/V... | pytorch-image-models/timm/layers/eca.py/0 | {
"file_path": "pytorch-image-models/timm/layers/eca.py",
"repo_id": "pytorch-image-models",
"token_count": 2411
} | 332 |
"""Test Neo4j functionality."""
from langchain_community.vectorstores.neo4j_vector import remove_lucene_chars
def test_escaping_lucene() -> None:
"""Test escaping lucene characters"""
assert remove_lucene_chars("Hello+World") == "Hello World"
assert remove_lucene_chars("Hello World\\") == "Hello World"
... | langchain/libs/community/tests/unit_tests/vectorstores/test_neo4j.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/vectorstores/test_neo4j.py",
"repo_id": "langchain",
"token_count": 650
} | 418 |
# Tracing
Similar to the Python `langchain` package, JS `langchain` also supports tracing.
You can view the tracing docs, including the JS Quickstart [here.](https://docs.smith.langchain.com/docs/)
| langchainjs/docs/core_docs/docs/production/tracing.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/production/tracing.mdx",
"repo_id": "langchainjs",
"token_count": 56
} | 773 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/data_node_test.go/0 | {
"file_path": "milvus/internal/datanode/data_node_test.go",
"repo_id": "milvus",
"token_count": 2748
} | 1,693 |
package common
const (
DefaultTenant = "default_tenant"
DefaultDatabase = "default_database"
)
| chroma/go/coordinator/internal/common/constants.go/0 | {
"file_path": "chroma/go/coordinator/internal/common/constants.go",
"repo_id": "chroma",
"token_count": 33
} | 45 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/research_projects/layoutlmv3/run_funsd_cord.py/0 | {
"file_path": "transformers/examples/research_projects/layoutlmv3/run_funsd_cord.py",
"repo_id": "transformers",
"token_count": 8703
} | 604 |
// 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/cache/lru_impl_test.go/0 | {
"file_path": "milvus/pkg/util/cache/lru_impl_test.go",
"repo_id": "milvus",
"token_count": 1576
} | 1,831 |
//! Contrastive Language-Image Pre-Training
//!
//! Contrastive Language-Image Pre-Training (CLIP) is an architecture trained on
//! pairs of images with related texts.
//!
//! https://github.com/openai/CLIP
use candle::{DType, Device, Result, Tensor, D};
use candle_nn as nn;
use candle_nn::Module;
#[derive(Debug, Clo... | candle/candle-transformers/src/models/stable_diffusion/clip.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/clip.rs",
"repo_id": "candle",
"token_count": 6474
} | 77 |
// Inspired by
// https://github.com/NVIDIA/DALI/blob/main/include/dali/core/static_switch.h
// and https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/Dispatch.h
#pragma once
/// @param COND - a boolean expression to switch by
/// @param CONST_NAME - a name given for the constexpr bool variable.
/// @... | candle/candle-flash-attn/kernels/static_switch.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/static_switch.h",
"repo_id": "candle",
"token_count": 1516
} | 57 |
import sqlalchemy.orm
import langchain_community # noqa: F401
def test_configure_mappers() -> None:
sqlalchemy.orm.configure_mappers()
| langchain/libs/community/tests/unit_tests/test_sqlalchemy.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/test_sqlalchemy.py",
"repo_id": "langchain",
"token_count": 51
} | 384 |
import os
import argparse
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
set_seed,
default_data_collator,
)
from datasets import load_from_disk
import torch
from transformers import Trainer, TrainingArguments
from peft import PeftConfig, PeftModel
import shutil
def parse_arge():
"... | notebooks/sagemaker/24_train_bloom_peft_lora/scripts/run_clm.py/0 | {
"file_path": "notebooks/sagemaker/24_train_bloom_peft_lora/scripts/run_clm.py",
"repo_id": "notebooks",
"token_count": 2010
} | 310 |
<jupyter_start><jupyter_text>CTranslate2 **CTranslate2** is a C++ and Python library for efficient inference with Transformer models.The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce... | langchain/docs/docs/integrations/llms/ctranslate2.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/ctranslate2.ipynb",
"repo_id": "langchain",
"token_count": 1768
} | 118 |
"""All integration tests for Cache objects."""
| langchain/libs/langchain/tests/integration_tests/cache/__init__.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/cache/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 635 |
<jupyter_start><jupyter_text>Async ChromiumChromium is one of the browsers supported by Playwright, a library used to control browser automation. By running `p.chromium.launch(headless=True)`, we are launching a headless instance of Chromium. Headless mode means that the browser is running without a graphical user inte... | langchain/docs/docs/integrations/document_loaders/async_chromium.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/async_chromium.ipynb",
"repo_id": "langchain",
"token_count": 282
} | 97 |
#!/bin/bash
# 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 applica... | milvus/tests/scripts/qa/uninstall_milvus.sh/0 | {
"file_path": "milvus/tests/scripts/qa/uninstall_milvus.sh",
"repo_id": "milvus",
"token_count": 1808
} | 1,909 |
from langchain_mistralai.chat_models import ChatMistralAI
from langchain_mistralai.embeddings import MistralAIEmbeddings
__all__ = ["ChatMistralAI", "MistralAIEmbeddings"]
| langchain/libs/partners/mistralai/langchain_mistralai/__init__.py/0 | {
"file_path": "langchain/libs/partners/mistralai/langchain_mistralai/__init__.py",
"repo_id": "langchain",
"token_count": 58
} | 618 |
import { DataSource } from "typeorm";
import { OpenAI } from "@langchain/openai";
import { SqlDatabase } from "langchain/sql_db";
import { SqlDatabaseChain } from "langchain/chains/sql_db";
/**
* This example uses a SAP HANA Cloud database. You can create a free trial database via https://developers.sap.com/tutorials... | langchainjs/examples/src/chains/sql_db_saphana_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/sql_db_saphana_legacy.ts",
"repo_id": "langchainjs",
"token_count": 418
} | 850 |
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_community.llms.sagemaker_endpoint import ContentHandlerBase
class EmbeddingsContentHandler(ContentHandlerBase[List[str], List[List[floa... | langchain/libs/community/langchain_community/embeddings/sagemaker_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/sagemaker_endpoint.py",
"repo_id": "langchain",
"token_count": 3248
} | 260 |
from llama_index.readers.file.epub.base import EpubReader
__all__ = ["EpubReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/epub/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,488 |
"""Base index classes."""
import logging
from abc import ABC, abstractmethod
from typing import Any, Dict, Generic, List, Optional, Sequence, Type, TypeVar, cast
from llama_index.legacy.chat_engine.types import BaseChatEngine, ChatMode
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_i... | llama_index/llama-index-legacy/llama_index/legacy/indices/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/base.py",
"repo_id": "llama_index",
"token_count": 6706
} | 1,559 |
# coding=utf-8
# Copyright 2023 The Salesforce 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/LI... | transformers/src/transformers/models/blip_2/modeling_blip_2.py/0 | {
"file_path": "transformers/src/transformers/models/blip_2/modeling_blip_2.py",
"repo_id": "transformers",
"token_count": 35021
} | 608 |
# Monday Loader
This loader loads data from monday.com. The user specifies an API token to initialize the MondayReader. They then specify a monday.com board id to load in the corresponding Document objects.
## Usage
Here's an example usage of the MondayReader.
```python
from llama_index import download_loader
Mond... | llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mondaydotcom/README.md",
"repo_id": "llama_index",
"token_count": 261
} | 1,523 |
---
sidebar_position: 4
---
# Custom chat models
This notebook goes over how to create a custom chat model wrapper, in case you want to use your own chat model or a different wrapper than one that is directly supported in LangChain.
There are a few required things that a chat model needs to implement after extending... | langchainjs/docs/core_docs/docs/modules/model_io/chat/custom_chat.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/custom_chat.mdx",
"repo_id": "langchainjs",
"token_count": 2519
} | 792 |
import os
import sys
from typing import Any, List
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra
class JohnSnowLabsEmbeddings(BaseModel, Embeddings):
"""JohnSnowLabs embedding models
To use, you should have the ``johnsnowlabs`` python package install... | langchain/libs/community/langchain_community/embeddings/johnsnowlabs.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/johnsnowlabs.py",
"repo_id": "langchain",
"token_count": 1298
} | 258 |
# coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/wav2vec2/test_feature_extraction_wav2vec2.py/0 | {
"file_path": "transformers/tests/models/wav2vec2/test_feature_extraction_wav2vec2.py",
"repo_id": "transformers",
"token_count": 4411
} | 849 |
from typing import List, cast
import pandas as pd
from agent_utils import AGENTS, ALL_MODELS, get_model, is_valid_combination
from button_tasks import TASKS as BUTTON_TASKS
from fire import Fire
from llama_index.agent.types import BaseAgent
from math_tasks import TASKS as MATH_TASKS
ALL_TASKS = list(MATH_TASKS.keys()... | llama_index/benchmarks/agent/main.py/0 | {
"file_path": "llama_index/benchmarks/agent/main.py",
"repo_id": "llama_index",
"token_count": 1196
} | 1,026 |
import { expect, test } from "@jest/globals";
import { v4 as uuid } from "uuid";
import { ZepMemory } from "../zep.js";
const sessionId = uuid();
const baseURL = "http://localhost:8000";
const zepMemory = new ZepMemory({ sessionId, baseURL });
beforeEach((done) => {
setTimeout(done, 1000); // 1-second delay before ... | langchainjs/libs/langchain-community/src/memory/tests/zep_memory.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/memory/tests/zep_memory.int.test.ts",
"repo_id": "langchainjs",
"token_count": 480
} | 1,031 |
// 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/lifetime/lifetime.go/0 | {
"file_path": "milvus/pkg/util/lifetime/lifetime.go",
"repo_id": "milvus",
"token_count": 878
} | 1,843 |
import { ChatOpenAI } from "@langchain/openai";
import { createSqlQueryChain } from "langchain/chains/sql_db";
import { SqlDatabase } from "langchain/sql_db";
import { DataSource } from "typeorm";
const datasource = new DataSource({
type: "sqlite",
database: "../../../../Chinook.db",
});
const db = await SqlDataba... | langchainjs/examples/src/use_cases/sql/quickstart_chain.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/quickstart_chain.ts",
"repo_id": "langchainjs",
"token_count": 259
} | 869 |
#!/usr/bin/env node
const { spawn } = require("child_process");
const fs = require("fs");
let folderName = '.';
if (process.argv.length >= 3) {
folderName = process.argv[2];
if (!fs.existsSync(folderName)) {
fs.mkdirSync(folderName);
}
}
const clone = spawn("git", ["clone", "https://github.com/rustwasm/cr... | tokenizers/tokenizers/examples/unstable_wasm/www/.bin/create-wasm-app.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/.bin/create-wasm-app.js",
"repo_id": "tokenizers",
"token_count": 210
} | 454 |
ALTER TABLE collections ADD COLUMN dimension INTEGER;
| chroma/chromadb/migrations/sysdb/00003-collection-dimension.sqlite.sql/0 | {
"file_path": "chroma/chromadb/migrations/sysdb/00003-collection-dimension.sqlite.sql",
"repo_id": "chroma",
"token_count": 14
} | 17 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/herbert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/herbert.md",
"repo_id": "transformers",
"token_count": 956
} | 508 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-faiss/llama_index/readers/faiss/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-faiss/llama_index/readers/faiss/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,397 |
.PHONY: all format lint test tests integration_tests help
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
test:
poetry run pytest $(TEST_FILE)
tests:
poetry run pytest $(TEST_FILE)
check_imports: $(shell find lang... | langchain/libs/partners/nvidia-ai-endpoints/Makefile/0 | {
"file_path": "langchain/libs/partners/nvidia-ai-endpoints/Makefile",
"repo_id": "langchain",
"token_count": 720
} | 634 |
---
hide_table_of_contents: true
---
# SerpAPI Loader
This guide shows how to use SerpAPI with LangChain to load web search results.
## Overview
[SerpAPI](https://serpapi.com/) is a real-time API that provides access to search results from various search engines. It is commonly used for tasks like competitor analys... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx",
"repo_id": "langchainjs",
"token_count": 417
} | 716 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,289 |
from langchain_community.document_loaders.blob_loaders.file_system import (
FileSystemBlobLoader,
)
from langchain_community.document_loaders.blob_loaders.schema import Blob, BlobLoader
from langchain_community.document_loaders.blob_loaders.youtube_audio import (
YoutubeAudioLoader,
)
__all__ = ["BlobLoader", ... | langchain/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/blob_loaders/__init__.py",
"repo_id": "langchain",
"token_count": 123
} | 251 |
"""Empty Index."""
from llama_index.core.indices.empty.base import EmptyIndex, GPTEmptyIndex
from llama_index.core.indices.empty.retrievers import EmptyIndexRetriever
__all__ = ["EmptyIndex", "EmptyIndexRetriever", "GPTEmptyIndex"]
| llama_index/llama-index-core/llama_index/core/indices/empty/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/empty/__init__.py",
"repo_id": "llama_index",
"token_count": 78
} | 1,152 |
# coding=utf-8
# Copyright 2020, The RAG Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/rag/tokenization_rag.py/0 | {
"file_path": "transformers/src/transformers/models/rag/tokenization_rag.py",
"repo_id": "transformers",
"token_count": 1854
} | 659 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/import_utils.py/0 | {
"file_path": "peft/src/peft/import_utils.py",
"repo_id": "peft",
"token_count": 843
} | 331 |
# 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/stable_diffusion/pipeline_stable_diffusion_inpaint.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 33602
} | 249 |
from langchain_community.vectorstores.zep import CollectionConfig, ZepVectorStore
__all__ = ["CollectionConfig", "ZepVectorStore"]
| langchain/libs/langchain/langchain/vectorstores/zep.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/zep.py",
"repo_id": "langchain",
"token_count": 36
} | 620 |
<jupyter_start><jupyter_text>LangChain EmbeddingsThis guide shows you how to use embedding models from [LangChain](https://python.langchain.com/docs/integrations/text_embedding/). If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-... | llama_index/docs/examples/embeddings/Langchain.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/Langchain.ipynb",
"repo_id": "llama_index",
"token_count": 377
} | 1,099 |
python_sources()
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/BUILD",
"repo_id": "llama_index",
"token_count": 24
} | 1,433 |
from datasets.utils.patching import _PatchedModuleObj, patch_submodule
from . import _test_patching
def test_patch_submodule():
import os as original_os
from os import path as original_path
from os import rename as original_rename
from os.path import dirname as original_dirname
from os.path impor... | datasets/tests/test_patching.py/0 | {
"file_path": "datasets/tests/test_patching.py",
"repo_id": "datasets",
"token_count": 2274
} | 153 |
# coding=utf-8
# Copyright 2021 Microsoft 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/deberta_v2/modeling_tf_deberta_v2.py/0 | {
"file_path": "transformers/src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py",
"repo_id": "transformers",
"token_count": 36390
} | 588 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 1724,
"logprob": -7.6914062,
"text": "What"
},
{
"id": 33... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json",
"repo_id": "text-generation-inference",
"token_count": 1238
} | 404 |
<jupyter_start><jupyter_text>Metadata Replacement + Node Sentence WindowIn this notebook, we use the `SentenceWindowNodeParser` to parse documents into single sentences per node. Each node also contains a "window" with the sentences on either side of the node sentence.Then, during retrieval, before passing the retrieve... | llama_index/docs/examples/node_postprocessor/MetadataReplacementDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/MetadataReplacementDemo.ipynb",
"repo_id": "llama_index",
"token_count": 4377
} | 1,097 |
# @langchain/cohere
This package contains the LangChain.js integrations for Cohere through their SDK.
## Installation
```bash npm2yarn
npm install @langchain/cohere
```
This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
If you are using t... | langchainjs/libs/langchain-cohere/README.md/0 | {
"file_path": "langchainjs/libs/langchain-cohere/README.md",
"repo_id": "langchainjs",
"token_count": 994
} | 932 |
MAX_SUM_OFFSET_AND_LIMIT = 16384
| milvus/tests/restful_client/utils/constant.py/0 | {
"file_path": "milvus/tests/restful_client/utils/constant.py",
"repo_id": "milvus",
"token_count": 18
} | 1,978 |
<!--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/ja/perf_infer_cpu.md/0 | {
"file_path": "transformers/docs/source/ja/perf_infer_cpu.md",
"repo_id": "transformers",
"token_count": 1977
} | 545 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import { format } from "date-fns";
import { downloadFile } from "./files/downloadFile";
export async function preprocessMessages(
messages: Message[],
multimodal: boolean,
id: Conversation["_id"]
): Promi... | chat-ui/src/lib/server/preprocessMessages.ts/0 | {
"file_path": "chat-ui/src/lib/server/preprocessMessages.ts",
"repo_id": "chat-ui",
"token_count": 1373
} | 90 |
<jupyter_start><jupyter_text>DashScopeLet's load the DashScope Embedding class.<jupyter_code>from langchain_community.embeddings import DashScopeEmbeddings
embeddings = DashScopeEmbeddings(
model="text-embedding-v1", dashscope_api_key="your-dashscope-api-key"
)
text = "This is a test document."
query_result = embed... | langchain/docs/docs/integrations/text_embedding/dashscope.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/dashscope.ipynb",
"repo_id": "langchain",
"token_count": 162
} | 171 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-wikipedia/llama_index/tools/wikipedia/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-wikipedia/llama_index/tools/wikipedia/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,637 |
CONFIG_KEY_SEND = "__pregel_send"
CONFIG_KEY_READ = "__pregel_read"
| langgraph/langgraph/constants.py/0 | {
"file_path": "langgraph/langgraph/constants.py",
"repo_id": "langgraph",
"token_count": 33
} | 1,037 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/flowgraph/node.go/0 | {
"file_path": "milvus/internal/util/flowgraph/node.go",
"repo_id": "milvus",
"token_count": 2436
} | 1,896 |
"""Test pipeline functionality."""
from typing import Dict, List, Optional
import pytest
from langchain.callbacks.manager import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain.chains.base import Chain
from langchain.chains.sequential import SequentialChain, SimpleSequentialCh... | langchain/libs/langchain/tests/unit_tests/chains/test_sequential.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_sequential.py",
"repo_id": "langchain",
"token_count": 3408
} | 622 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/extended/test_trainer_ext.py/0 | {
"file_path": "transformers/tests/extended/test_trainer_ext.py",
"repo_id": "transformers",
"token_count": 6361
} | 715 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/xlnet/convert_xlnet_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/xlnet/convert_xlnet_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1468
} | 722 |
from typing import Dict, Iterator, List, Optional, Tuple, Union
from tokenizers import AddedToken, Tokenizer, decoders, pre_tokenizers, trainers
from tokenizers.models import BPE
from tokenizers.normalizers import NFKC
from .base_tokenizer import BaseTokenizer
class SentencePieceBPETokenizer(BaseTokenizer):
"""... | tokenizers/bindings/python/py_src/tokenizers/implementations/sentencepiece_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/sentencepiece_bpe.py",
"repo_id": "tokenizers",
"token_count": 1655
} | 414 |
try:
from pydantic.v1.main import * # noqa: F403
except ImportError:
from pydantic.main import * # noqa: F403
| langchain/libs/core/langchain_core/pydantic_v1/main.py/0 | {
"file_path": "langchain/libs/core/langchain_core/pydantic_v1/main.py",
"repo_id": "langchain",
"token_count": 49
} | 418 |
# Copyright 2022 The HuggingFace Inc. team and the AI-Sweden 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
#
# ... | transformers/src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3464
} | 680 |
import os
from typing import Callable, Union
import PIL.Image
import PIL.ImageOps
import requests
def load_image(
image: Union[str, PIL.Image.Image], convert_method: Callable[[PIL.Image.Image], PIL.Image.Image] = None
) -> PIL.Image.Image:
"""
Loads `image` to a PIL Image.
Args:
image (`str`... | diffusers/src/diffusers/utils/loading_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/loading_utils.py",
"repo_id": "diffusers",
"token_count": 660
} | 263 |
import {
getAccessToken,
getCredentials,
Credentials,
} from "web-auth-library/google";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import type {
GoogleAbstractedClient,
GoogleAbstractedClientOps,
} from "../types/googlevertexai-types.js";
import { GoogleVertexAIStream } from "./google... | langchainjs/libs/langchain-community/src/utils/googlevertexai-webauth.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/googlevertexai-webauth.ts",
"repo_id": "langchainjs",
"token_count": 1225
} | 1,000 |
# Copyright 2024 TencentARC 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 requir... | diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter.py",
"repo_id": "diffusers",
"token_count": 34159
} | 205 |
# coding=utf-8
# Copyright 2020 The SqueezeBert authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | transformers/tests/models/squeezebert/test_modeling_squeezebert.py/0 | {
"file_path": "transformers/tests/models/squeezebert/test_modeling_squeezebert.py",
"repo_id": "transformers",
"token_count": 5314
} | 737 |
# Agents
Putting together an agent in LlamaIndex can be done by defining a set of tools and providing them to our ReActAgent implementation. We're using it here with OpenAI, but it can be used with any sufficiently capable LLM:
```python
from llama_index.core.tools import FunctionTool
from llama_index.llms.openai imp... | llama_index/docs/understanding/putting_it_all_together/agents.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/agents.md",
"repo_id": "llama_index",
"token_count": 1430
} | 1,165 |
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