text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/deta/test_modeling_deta.py/0 | {
"file_path": "transformers/tests/models/deta/test_modeling_deta.py",
"repo_id": "transformers",
"token_count": 11996
} | 742 |
# coding=utf-8
# Copyright 2019 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/examples/research_projects/bertabs/test_utils_summarization.py/0 | {
"file_path": "transformers/examples/research_projects/bertabs/test_utils_summarization.py",
"repo_id": "transformers",
"token_count": 1749
} | 569 |
import { PromptTemplate } from "@langchain/core/prompts";
import { RunnableSequence } from "@langchain/core/runnables";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { ChatAnthropic } from "@langchain/anthropic";
const prompt1 = PromptTemplate.fromTemplate(
`What is the city {person} is... | langchainjs/examples/src/guides/expression_language/cookbook_multiple_chains.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/cookbook_multiple_chains.ts",
"repo_id": "langchainjs",
"token_count": 291
} | 865 |
""" Activations
A collection of jit-scripted activations fn and modules with a common interface so that they can
easily be swapped. All have an `inplace` arg even if not used.
All jit scripted activations are lacking in-place variations on purpose, scripted kernel fusion does not
currently work across in-place op bou... | pytorch-image-models/timm/layers/activations_jit.py/0 | {
"file_path": "pytorch-image-models/timm/layers/activations_jit.py",
"repo_id": "pytorch-image-models",
"token_count": 1008
} | 361 |
from enum import Enum
from typing import TYPE_CHECKING, Union, overload
import numpy as np
if TYPE_CHECKING:
import torch
class Pooling(str, Enum):
"""Enum of possible pooling choices with pooling behaviors."""
CLS = "cls"
MEAN = "mean"
def __call__(self, array: np.ndarray) -> np.ndarray:
... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/pooling.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/pooling.py",
"repo_id": "llama_index",
"token_count": 624
} | 1,312 |
python_sources()
| llama_index/llama-index-core/llama_index/core/agent/react_multimodal/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/react_multimodal/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,161 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.langchain import LangchainEmbedding
def test_langchain_embedding_class():
names_of_base_classes = [b.__name__ for b in LangchainEmbedding.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/tests/test_embeddings_langchain.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-langchain/tests/test_embeddings_langchain.py",
"repo_id": "llama_index",
"token_count": 106
} | 1,267 |
package storage
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestParseSegmentIDByBinlog(t *testing.T) {
type testCase struct {
name string
input string
rootPath string
expectError bool
expectID UniqueID
isIgnorableError bool
}
cases := [... | milvus/internal/storage/binlog_util_test.go/0 | {
"file_path": "milvus/internal/storage/binlog_util_test.go",
"repo_id": "milvus",
"token_count": 1002
} | 2,008 |
from typing import Any, Collection, List, Optional, Tuple, Union
from llama_index.core.tools.types import AsyncBaseTool
from pydantic import BaseModel
class LLMCompilerParseResult(BaseModel):
"""LLMCompiler parser result."""
thought: str
idx: int
tool_name: str
args: str
class JoinerOutput(Bas... | llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/llama_index/packs/agents_llm_compiler/schema.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agents-llm-compiler/llama_index/packs/agents_llm_compiler/schema.py",
"repo_id": "llama_index",
"token_count": 1000
} | 1,552 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/cassandra",
});
export * from "@langchain/community/vectorstores/cassandra";
| langchainjs/langchain/src/vectorstores/cassandra.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/cassandra.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 964 |
// 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/importutilv2/parquet/field_reader.go/0 | {
"file_path": "milvus/internal/util/importutilv2/parquet/field_reader.go",
"repo_id": "milvus",
"token_count": 6548
} | 1,872 |
export const PREFIX = `Answer the following questions truthfully and as best you can.`;
export const AGENT_ACTION_FORMAT_INSTRUCTIONS = `Output a JSON markdown code snippet containing a valid JSON blob (denoted below by $JSON_BLOB).
This $JSON_BLOB must have a "action" key (with the name of the tool to use) and an "act... | langchainjs/langchain/src/agents/structured_chat/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/structured_chat/prompt.ts",
"repo_id": "langchainjs",
"token_count": 727
} | 841 |
# flake8: noqa
# 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 requi... | trl/trl/trainer/__init__.py/0 | {
"file_path": "trl/trl/trainer/__init__.py",
"repo_id": "trl",
"token_count": 450
} | 787 |
# coding=utf-8
# Copyright 2021 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/clip/modeling_tf_clip.py/0 | {
"file_path": "transformers/src/transformers/models/clip/modeling_tf_clip.py",
"repo_id": "transformers",
"token_count": 25977
} | 658 |
import { ReActSingleInputOutputParser } from "../react/output_parser.js";
test("ReActSingleInputOutputParser identifies final answer", async () => {
const finalAnswerText = `Observation: 2.169459462491557
Thought: I now know the final answer
Final Answer: Harry Styles, Olivia Wilde's boyfriend, is 29 years old a... | langchainjs/langchain/src/agents/tests/react.test.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/tests/react.test.ts",
"repo_id": "langchainjs",
"token_count": 643
} | 881 |
python_tests(
name="tests",
)
| llama_index/llama-index-finetuning/tests/cross_encoders/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/cross_encoders/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,255 |
<jupyter_start><jupyter_text>Trello>[Trello](https://www.atlassian.com/software/trello) is a web-based project management and collaboration tool that allows individuals and teams to organize and track their tasks and projects. It provides a visual interface known as a "board" where users can create lists and cards to r... | langchain/docs/docs/integrations/document_loaders/trello.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/trello.ipynb",
"repo_id": "langchain",
"token_count": 866
} | 121 |
Simple Chat Engine
=======================
.. automodule:: llama_index.core.chat_engine.simple
:members:
:inherited-members:
.. :exclude-members: index_struct, query, set_llm_predictor, set_prompt_helper
| llama_index/docs/api_reference/query/chat_engines/simple_chat_engine.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/chat_engines/simple_chat_engine.rst",
"repo_id": "llama_index",
"token_count": 76
} | 1,160 |
# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line, and also
# from the environment for those with `?=`
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
BUILDDIR ?= build
SOURCEDIR = source
# Put it first so that "make" without argument is like "make html_all".
h... | tokenizers/docs/Makefile/0 | {
"file_path": "tokenizers/docs/Makefile",
"repo_id": "tokenizers",
"token_count": 393
} | 448 |
<jupyter_start><jupyter_text>MongoDB Atlas If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-mongodb
!pip install llama-index
# Provide URI to constructor, or use environment variable
import pymongo
from llama_index.vector_stor... | llama_index/docs/examples/vector_stores/MongoDBAtlasVectorSearch.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/MongoDBAtlasVectorSearch.ipynb",
"repo_id": "llama_index",
"token_count": 645
} | 1,216 |
from llama_index.output_parsers.langchain.base import LangchainOutputParser
__all__ = ["LangchainOutputParser"]
| llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/llama_index/output_parsers/langchain/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/llama_index/output_parsers/langchain/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,259 |
"""Tool for interacting with a single API with natural language definition."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import Tool
from langchain_community.tools.openapi.utils.api_models... | langchain/libs/community/langchain_community/agent_toolkits/nla/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/nla/tool.py",
"repo_id": "langchain",
"token_count": 817
} | 212 |
python_requirements(
name="reqs",
source="notebook-requirements.txt",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-rayyan/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-rayyan/examples/BUILD",
"repo_id": "llama_index",
"token_count": 31
} | 1,510 |
from typing import Any, Dict, Optional, Type, Union
from langchain.chains.openai_functions import create_structured_output_chain
from langchain.prompts import PromptTemplate
from langchain.pydantic_v1 import BaseModel
from langchain.schema import BaseLLMOutputParser, BasePromptTemplate
from langchain_community.chat_mo... | langchain/libs/experimental/langchain_experimental/tabular_synthetic_data/openai.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/tabular_synthetic_data/openai.py",
"repo_id": "langchain",
"token_count": 775
} | 438 |
# 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/cer.py/0 | {
"file_path": "datasets/metrics/cer/cer.py",
"repo_id": "datasets",
"token_count": 2133
} | 115 |
#ifndef _util_cuh
#define _util_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#include <ATen/cuda/CUDAContext.h>
#define DIVIDE(x, size) (((x) + (size) - 1) / (size))
#define DBGS(__x) printf("%s\n", __x)
#define DBGI(__x) printf("%s: %i\n", #__x, __x)
#define DBGI2(__x, _... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/util.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/util.cuh",
"repo_id": "text-generation-inference",
"token_count": 1114
} | 423 |
"""Test query pipeline worker."""
from typing import Any, Dict, Set, Tuple
from llama_index.legacy.agent.custom.pipeline_worker import (
QueryPipelineAgentWorker,
)
from llama_index.legacy.agent.runner.base import AgentRunner
from llama_index.legacy.agent.types import Task
from llama_index.legacy.bridge.pydantic ... | llama_index/llama-index-legacy/tests/agent/custom/test_pipeline.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/agent/custom/test_pipeline.py",
"repo_id": "llama_index",
"token_count": 1286
} | 1,791 |
{
"name": "@langchain/scripts",
"version": "0.0.5",
"description": "Shared scripts 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-scripts/package.json/0 | {
"file_path": "langchainjs/libs/langchain-scripts/package.json",
"repo_id": "langchainjs",
"token_count": 1611
} | 1,043 |
import { OpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { Calculator } from "langchain/tools/calculator";
import process from "process";
import { SerpAPI } from "@langchain/community/tools/serpapi";
export const run = async () => {
process.env.LANGCHA... | langchainjs/examples/src/agents/concurrent_mrkl.ts/0 | {
"file_path": "langchainjs/examples/src/agents/concurrent_mrkl.ts",
"repo_id": "langchainjs",
"token_count": 468
} | 752 |
from langchain_community.document_loaders.github import (
BaseGitHubLoader,
GitHubIssuesLoader,
)
__all__ = ["BaseGitHubLoader", "GitHubIssuesLoader"]
| langchain/libs/langchain/langchain/document_loaders/github.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/github.py",
"repo_id": "langchain",
"token_count": 57
} | 515 |
<jupyter_start><jupyter_text>Fine-tuning for Semantic Segmentation with 🤗 TransformersThis tutorial shows how to fine-tune a SegFormer model in TensorFlow for the task of semantic segmentation. The tutorial is a TensorFlow port of this [blog post](https://huggingface.co/blog/fine-tune-segformer). As such, the notebook... | notebooks/examples/semantic_segmentation-tf.ipynb/0 | {
"file_path": "notebooks/examples/semantic_segmentation-tf.ipynb",
"repo_id": "notebooks",
"token_count": 7206
} | 303 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-gradient/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,397 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-vectara-rag/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,826 |
from __future__ import annotations
import logging
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
try:
import deeplake
from deeplake import VectorStore as DeepLakeVectorStore
from deeplake.core.fast_forwarding import version_compare
_DEEPLAKE_INSTALL... | langchain/libs/community/langchain_community/vectorstores/deeplake.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/deeplake.py",
"repo_id": "langchain",
"token_count": 18846
} | 324 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 338,
"logprob": -9.0859375,
"text": "is"
},
{
"id": 21784... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1165
} | 373 |
# 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 applicabl... | transformers/src/transformers/models/univnet/convert_univnet.py/0 | {
"file_path": "transformers/src/transformers/models/univnet/convert_univnet.py",
"repo_id": "transformers",
"token_count": 2613
} | 666 |
# 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/clip/test_image_processing_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_image_processing_clip.py",
"repo_id": "transformers",
"token_count": 1915
} | 712 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | datasets/src/datasets/utils/_filelock.py/0 | {
"file_path": "datasets/src/datasets/utils/_filelock.py",
"repo_id": "datasets",
"token_count": 903
} | 151 |
<jupyter_start><jupyter_text>Xorbits Inference (Xinference)[Xinference](https://github.com/xorbitsai/inference) is a powerful and versatile library designed to serve LLMs, speech recognition models, and multimodal models, even on your laptop. It supports a variety of models compatible with GGML, such as chatglm, baichu... | langchain/docs/docs/integrations/llms/xinference.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/xinference.ipynb",
"repo_id": "langchain",
"token_count": 836
} | 123 |
<jupyter_start><jupyter_text>Elasticsearch>[Elasticsearch](https://www.elastic.co/elasticsearch/) is a distributed, RESTful search and analytics engine, capable of performing both vector and lexical search. It is built on top of the Apache Lucene library. This notebook shows how to use functionality related to the `Ela... | langchain/docs/docs/integrations/vectorstores/elasticsearch.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/elasticsearch.ipynb",
"repo_id": "langchain",
"token_count": 7796
} | 181 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install datasets transformers<jupyter_output><empty_output><jupyter_text>If you're opening this notebook locally, make su... | notebooks/examples/question_answering.ipynb/0 | {
"file_path": "notebooks/examples/question_answering.ipynb",
"repo_id": "notebooks",
"token_count": 15331
} | 307 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-google/llama_index/vector_stores/google/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-google/llama_index/vector_stores/google/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,483 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deformable_detr/vision.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/vision.cpp",
"repo_id": "transformers",
"token_count": 220
} | 564 |
# LlamaIndex Managed Integration: Zilliz
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,245 |
<!--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/ko/custom_tools.md/0 | {
"file_path": "transformers/docs/source/ko/custom_tools.md",
"repo_id": "transformers",
"token_count": 22819
} | 557 |
# shopping-assistant
This template creates a shopping assistant that helps users find products that they are looking for.
This template will use `Ionic` to search for products.
## Environment Setup
This template will use `OpenAI` by default.
Be sure that `OPENAI_API_KEY` is set in your environment.
## Usage
To us... | langchain/templates/shopping-assistant/README.md/0 | {
"file_path": "langchain/templates/shopping-assistant/README.md",
"repo_id": "langchain",
"token_count": 602
} | 705 |
import json
import sys
class Message:
def __init__(
self,
message_id,
message_text,
author,
timestamp,
parent_message=None,
child_message=None,
):
self.message_id = message_id
self.message_text = message_text
self.author = author
... | llama_index/docs/examples/discover_llamaindex/document_management/group_conversations.py/0 | {
"file_path": "llama_index/docs/examples/discover_llamaindex/document_management/group_conversations.py",
"repo_id": "llama_index",
"token_count": 941
} | 1,076 |
<!--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 to... | transformers/docs/source/de/peft.md/0 | {
"file_path": "transformers/docs/source/de/peft.md",
"repo_id": "transformers",
"token_count": 3175
} | 431 |
package main
import (
"fmt"
"os"
"github.com/chroma/chroma-coordinator/cmd/grpccoordinator"
"github.com/chroma/chroma-coordinator/internal/utils"
"github.com/rs/zerolog"
"github.com/spf13/cobra"
"go.uber.org/automaxprocs/maxprocs"
)
var (
rootCmd = &cobra.Command{
Use: "chroma",
Short: "Chroma root com... | chroma/go/coordinator/cmd/main.go/0 | {
"file_path": "chroma/go/coordinator/cmd/main.go",
"repo_id": "chroma",
"token_count": 317
} | 41 |
#!/bin/bash
#Download milvus source code
git clone https://github.com/milvus-io/milvus.git
cd milvus
# $1 is the branch name or commit number
git checkout $1
make
cd ..
#Prepare for milvus-deb
mkdir -p milvus-deb/milvus
mkdir milvus-deb/milvus/milvus-bin
mkdir milvus-deb/milvus/milvus-lib
## binary
cp milvus/bin/milv... | milvus/build/deb/build_deb.sh/0 | {
"file_path": "milvus/build/deb/build_deb.sh",
"repo_id": "milvus",
"token_count": 1034
} | 1,702 |
import json
from typing import Any, Dict, Optional, Type, Union, cast
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.program.llm_prompt_program import BaseLLMFunctionProgram
from llama_index.core.prompts.base import PromptTemplate
from llama_index.llms.huggingface import HuggingFaceLLM
fr... | llama_index/llama-index-integrations/program/llama-index-program-lmformatenforcer/llama_index/program/lmformatenforcer/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-lmformatenforcer/llama_index/program/lmformatenforcer/base.py",
"repo_id": "llama_index",
"token_count": 1682
} | 1,270 |
import torch
from loguru import logger
from transformers.configuration_utils import PretrainedConfig
from transformers.models.auto import modeling_auto
from typing import Optional
from text_generation_server.utils.speculate import get_speculate, set_speculate
from text_generation_server.models.model import Model
from... | text-generation-inference/server/text_generation_server/models/__init__.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/__init__.py",
"repo_id": "text-generation-inference",
"token_count": 7486
} | 439 |
kind: NetworkChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-datanode-network-latency
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: datanode
mode: all
action: delay
delay:
... | milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_datanode_network_latency.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_datanode_network_latency.yaml",
"repo_id": "milvus",
"token_count": 228
} | 1,955 |
# Metric Card for XNLI
## Metric description
The XNLI metric allows to evaluate a model's score on the [XNLI dataset](https://huggingface.co/datasets/xnli), which is a subset of a few thousand examples from the [MNLI dataset](https://huggingface.co/datasets/glue/viewer/mnli) that have been translated into a 14 differ... | datasets/metrics/xnli/README.md/0 | {
"file_path": "datasets/metrics/xnli/README.md",
"repo_id": "datasets",
"token_count": 1226
} | 136 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/response_synthesizers/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/response_synthesizers/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,231 |
import json
import operator
import time
import warnings
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from typing import Annotated, Generator, Optional, TypedDict, Union
import pytest
from langchain_core.runnables import RunnablePassthrough
from pytest_mock import MockerFixtur... | langgraph/tests/test_pregel.py/0 | {
"file_path": "langgraph/tests/test_pregel.py",
"repo_id": "langgraph",
"token_count": 22966
} | 1,036 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,657 |
<jupyter_start><jupyter_text>Relevancy EvaluatorThis notebook uses the `RelevancyEvaluator` to measure if the response + source nodes match the query. This is useful for measuring if the query was actually answered by the response.<jupyter_code>%pip install llama-index-llms-openai pandas[jinja2] spacy
import logging
i... | llama_index/docs/examples/evaluation/relevancy_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/relevancy_eval.ipynb",
"repo_id": "llama_index",
"token_count": 1933
} | 1,082 |
import torch
import torch.distributed
from transformers import AutoTokenizer, PreTrainedTokenizerBase
from typing import Optional
import os
from text_generation_server.models.custom_modeling.mamba_modeling import (
MambaConfig,
)
from loguru import logger
from text_generation_server.pb import generate_pb2
from text... | text-generation-inference/server/text_generation_server/models/mamba.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/mamba.py",
"repo_id": "text-generation-inference",
"token_count": 13455
} | 399 |
"""Chain for interacting with SQL Database."""
| langchain/libs/langchain/langchain/chains/sql_database/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/sql_database/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 467 |
import multiprocessing
import pytest
from pymilvus import MilvusException, connections
from base.collection_wrapper import ApiCollectionWrapper
from customize.milvus_operator import MilvusOperator
from common import common_func as cf
from common.common_type import default_nb
from common.common_type import CaseLabel
f... | milvus/tests/python_client/scale/test_proxy_scale.py/0 | {
"file_path": "milvus/tests/python_client/scale/test_proxy_scale.py",
"repo_id": "milvus",
"token_count": 1895
} | 2,042 |
# Generated content DO NOT EDIT
class AddedToken:
"""
Represents a token that can be be added to a :class:`~tokenizers.Tokenizer`.
It can have special options that defines the way it should behave.
Args:
content (:obj:`str`): The content of the token
single_word (:obj:`bool`, defaults ... | tokenizers/bindings/python/py_src/tokenizers/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 16502
} | 413 |
import re
from langchain.chains import LLMChain
from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import SystemMessage
from langchain_experimental.plan_and_execute.planners.base import LLMPlanner
from ... | langchain/libs/experimental/langchain_experimental/plan_and_execute/planners/chat_planner.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/plan_and_execute/planners/chat_planner.py",
"repo_id": "langchain",
"token_count": 672
} | 452 |
"""Test node mapping."""
from llama_index.core import SQLDatabase
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.objects.base_node_mapping import SimpleObjectNodeMapping
from llama_index.core.objects.table_node_mapping import (
SQLTableNodeMapping,
SQLTableSchema,
)
from llama_ind... | llama_index/llama-index-core/tests/objects/test_node_mapping.py/0 | {
"file_path": "llama_index/llama-index-core/tests/objects/test_node_mapping.py",
"repo_id": "llama_index",
"token_count": 1535
} | 1,270 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,423 |
use super::with_tracing::{layer_norm, linear_no_bias as linear, LayerNorm, Linear};
use candle::{DType, Device, IndexOp, Result, Tensor};
use candle_nn::{embedding, Embedding, Module, VarBuilder};
use std::collections::{HashMap, HashSet};
fn default_num_attention_heads() -> usize {
64
}
// https://huggingface.co/... | candle/candle-transformers/src/models/rwkv_v5.rs/0 | {
"file_path": "candle/candle-transformers/src/models/rwkv_v5.rs",
"repo_id": "candle",
"token_count": 7704
} | 74 |
"""Tool for the DataForSeo SERP API."""
from typing import Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.dataforseo_api_sear... | langchain/libs/community/langchain_community/tools/dataforseo_api_search/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/dataforseo_api_search/tool.py",
"repo_id": "langchain",
"token_count": 852
} | 286 |
[
{
"server": "athena",
"suite_params": [
{
"suite": "011_cpu_search_binary.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/jaccard.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/jaccard.json",
"repo_id": "milvus",
"token_count": 136
} | 1,996 |
from abc import abstractmethod
from typing import Any, List, Optional
from langchain.callbacks.manager import Callbacks
from langchain.chains.llm import LLMChain
from langchain_experimental.plan_and_execute.schema import Plan, PlanOutputParser
from langchain_experimental.pydantic_v1 import BaseModel
class BasePlann... | langchain/libs/experimental/langchain_experimental/plan_and_execute/planners/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/plan_and_execute/planners/base.py",
"repo_id": "langchain",
"token_count": 579
} | 465 |
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.2.0
hooks:
- id: ruff
args: [ --fix ]
- id: ruff-format
# - repo: https://github.com/codespell-project/codespell
# rev: v2.1.0
# hooks:
# - id: codespell
# args:
# - --ignore-words-list=n... | trl/.pre-commit-config.yaml/0 | {
"file_path": "trl/.pre-commit-config.yaml",
"repo_id": "trl",
"token_count": 212
} | 873 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { OpenAIEmbeddings } from "@langchain/openai";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { TurbopufferVectorStore } from "../turbopuffer.js";
beforeEach(async () => {
const emb... | langchainjs/libs/langchain-community/src/vectorstores/tests/turbopuffer.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/turbopuffer.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1273
} | 1,054 |
from __future__ import annotations
import os
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import mastodon
def _dependable_mastodon_import() -> mas... | langchain/libs/community/langchain_community/document_loaders/mastodon.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/mastodon.py",
"repo_id": "langchain",
"token_count": 1412
} | 240 |
# init
| llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/search/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/search/__init__.py",
"repo_id": "llama_index",
"token_count": 3
} | 1,439 |
package funcutil
import "fmt"
func MapReduce(results []map[string]string, method map[string]func(string) error) error {
// TODO: use generic type to reconstruct map[string]string -> [T any] map[string]T
for _, result := range results {
for k, v := range result {
fn, ok := method[k]
if !ok {
return fmt.E... | milvus/pkg/util/funcutil/map.go/0 | {
"file_path": "milvus/pkg/util/funcutil/map.go",
"repo_id": "milvus",
"token_count": 170
} | 1,901 |
"""Tool for the Wikipedia API."""
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.stackexchange import StackExchangeAPIWrapper
class StackExchangeTool(BaseTool):
"""Tool that uses StackExchan... | langchain/libs/community/langchain_community/tools/stackexchange/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/stackexchange/tool.py",
"repo_id": "langchain",
"token_count": 299
} | 313 |
# Protein Data Bank (PDB) publication Loader
This loader fetches the abstract of PDB entries using the RCSB (Research Collaboratory for Structural Bioinformatics) or EBI (European Bioinformatics Institute) REST api.
## Usage
To use this loader, simply pass an array of PDB ids into `load_data`:
```python
from llama_... | llama_index/llama-index-integrations/readers/llama-index-readers-pdb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdb/README.md",
"repo_id": "llama_index",
"token_count": 238
} | 1,358 |
""" Tensorflow Preprocessing Adapter
Allows use of Tensorflow preprocessing pipeline in PyTorch Transform
Copyright of original Tensorflow code below.
Hacked together by / Copyright 2020 Ross Wightman
"""
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.... | pytorch-image-models/timm/data/tf_preprocessing.py/0 | {
"file_path": "pytorch-image-models/timm/data/tf_preprocessing.py",
"repo_id": "pytorch-image-models",
"token_count": 3775
} | 329 |
"""Test AliCloud Pai Eas Chat Model."""
import os
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_community.chat_models.pai_eas_endpoint import PaiEasChatEndpoint
f... | langchain/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py",
"repo_id": "langchain",
"token_count": 1018
} | 337 |
#include <ATen/Dispatch.h>
#include <THC/THCAtomics.cuh>
#include <ATen/ATen.h>
#include <torch/torch.h>
#include <vector>
#include <optional>
/**
* Friendly reminder of how multithreading works in CUDA: https://developer.nvidia.com/blog/even-easier-introduction-cuda
* Check example at https://github.com/thomasw21/Li... | text-generation-inference/server/custom_kernels/custom_kernels/fused_attention_cuda.cu/0 | {
"file_path": "text-generation-inference/server/custom_kernels/custom_kernels/fused_attention_cuda.cu",
"repo_id": "text-generation-inference",
"token_count": 5265
} | 388 |
from typing import Any, List, Optional, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.utils import get_from_env
class DoctranPropertyExtractor(BaseDocumentTransformer):
"""Extract properties from text documents using doctran.
Arguments:
propertie... | langchain/libs/community/langchain_community/document_transformers/doctran_text_extract.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/doctran_text_extract.py",
"repo_id": "langchain",
"token_count": 2034
} | 248 |
from typing import Generator
import pytest
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.storage.index_store.dynamodb_index_store import (
DynamoDBIndexStore,
)
from llama_index.legacy.storage.kvstore.dynamodb_kvstore import DynamoDBKVStore
from pytest import MonkeyPat... | llama_index/llama-index-legacy/tests/storage/index_store/test_dynamodb_index_store.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/index_store/test_dynamodb_index_store.py",
"repo_id": "llama_index",
"token_count": 799
} | 1,759 |
"""Test vector store indexes."""
import pickle
from typing import Any, List, cast
from llama_index.core.indices.loading import load_index_from_storage
from llama_index.core.indices.vector_store.base import VectorStoreIndex
from llama_index.core.llms.mock import MockLLM
from llama_index.core.schema import Document
from... | llama_index/llama-index-core/tests/indices/vector_store/test_simple.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/vector_store/test_simple.py",
"repo_id": "llama_index",
"token_count": 3538
} | 1,224 |
# coding=utf-8
# Copyright 2022 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/blip/test_image_processing_blip.py/0 | {
"file_path": "transformers/tests/models/blip/test_image_processing_blip.py",
"repo_id": "transformers",
"token_count": 2155
} | 771 |
from io import BytesIO
from typing import Any, List, Tuple, Union
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class ImageCaptionLoader(BaseLoader):
"""Load image captions.
By default, the loader utilizes the pre-trained
... | langchain/libs/community/langchain_community/document_loaders/image_captions.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/image_captions.py",
"repo_id": "langchain",
"token_count": 1531
} | 239 |
pre {
white-space: break-spaces;
}
@media (min-width: 1200px) {
.container,
.container-lg,
.container-md,
.container-sm,
.container-xl {
max-width: 2560px !important;
}
}
#my-component-root *, #headlessui-portal-root * {
z-index: 10000;
}
table.longtable code {
white-space: normal;
}
table.lon... | langchain/docs/api_reference/_static/css/custom.css/0 | {
"file_path": "langchain/docs/api_reference/_static/css/custom.css",
"repo_id": "langchain",
"token_count": 151
} | 84 |
from llama_index.readers.guru.base import (
GuruReader,
)
__all__ = ["GuruReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-guru/llama_index/readers/guru/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-guru/llama_index/readers/guru/__init__.py",
"repo_id": "llama_index",
"token_count": 36
} | 1,374 |
<jupyter_start><jupyter_text>Self Correcting Query Engines - Evaluation & Retry In this notebook, we showcase several advanced, self-correcting query engines. They leverage the latest LLM's ability to evaluate its own output, and then self-correct to give better responses. If you're opening this Notebook on colab, yo... | llama_index/docs/examples/evaluation/RetryQuery.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/RetryQuery.ipynb",
"repo_id": "llama_index",
"token_count": 1952
} | 1,055 |
<jupyter_start><jupyter_text>You.com RetrieverThis notebook walks you through how to setup a Retriever that can fetch from You.com<jupyter_code>%pip install llama-index-retrievers-you
from llama_index.retrievers.you import YouRetriever
you_api_key = "" or os.environ["YOU_API_KEY"]
retriever = YouRetriever(api_key=you_... | llama_index/docs/examples/retrievers/you_retriever.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/you_retriever.ipynb",
"repo_id": "llama_index",
"token_count": 418
} | 1,212 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/camembert/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/camembert/__init__.py",
"repo_id": "transformers",
"token_count": 1824
} | 644 |
from llama_index.packs.rag_fusion_query_pipeline.base import RAGFusionPipelinePack
__all__ = ["RAGFusionPipelinePack"]
| llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/llama_index/packs/rag_fusion_query_pipeline/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/llama_index/packs/rag_fusion_query_pipeline/__init__.py",
"repo_id": "llama_index",
"token_count": 45
} | 1,677 |
import React, {
useCallback,
useEffect,
useMemo,
useRef,
useState,
} from "react";
import {
Group,
Text,
useMantineTheme,
Alert,
Table,
Button,
Title,
Flex,
Stack,
Spoiler,
Progress,
Card,
} from "@mantine/core";
import { IconAlertCircle } from "@tabler/icons-react";
import { Experimen... | auto-evaluator/nextjs/components/Demo.tsx/0 | {
"file_path": "auto-evaluator/nextjs/components/Demo.tsx",
"repo_id": "auto-evaluator",
"token_count": 8245
} | 1 |
# Datasets 🤝 Arrow
## What is Arrow?
[Arrow](https://arrow.apache.org/) enables large amounts of data to be processed and moved quickly. It is a specific data format that stores data in a columnar memory layout. This provides several significant advantages:
* Arrow's standard format allows [zero-copy reads](https:/... | datasets/docs/source/about_arrow.md/0 | {
"file_path": "datasets/docs/source/about_arrow.md",
"repo_id": "datasets",
"token_count": 682
} | 109 |
<jupyter_start><jupyter_text>Opensearch Vector StoreElasticsearch only supports Lucene indices, so only Opensearch is supported. **Note on setup**: We setup a local Opensearch instance through the following doc. https://opensearch.org/docs/1.0/If you run into SSL issues, try the following `docker run` command instead: ... | llama_index/docs/examples/vector_stores/OpensearchDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/OpensearchDemo.ipynb",
"repo_id": "llama_index",
"token_count": 3143
} | 1,112 |
from typing import Any, List
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from langchain.retrievers.document_compressors.base import (
BaseDocu... | langchain/libs/langchain/langchain/retrievers/contextual_compression.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/contextual_compression.py",
"repo_id": "langchain",
"token_count": 970
} | 565 |
"""Preprocess Reader."""
import hashlib
import os
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import (
Document,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
class PreprocessReader(BaseReader):
def __init__(self, api_key: str, *args,... | llama_index/llama-index-integrations/readers/llama-index-readers-preprocess/llama_index/readers/preprocess/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-preprocess/llama_index/readers/preprocess/base.py",
"repo_id": "llama_index",
"token_count": 2980
} | 1,405 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,269 |
from langchain_core.runnables.config import (
EmptyDict,
RunnableConfig,
acall_func_with_variable_args,
call_func_with_variable_args,
ensure_config,
get_async_callback_manager_for_config,
get_callback_manager_for_config,
get_config_list,
get_executor_for_config,
merge_configs,
... | langchain/libs/langchain/langchain/schema/runnable/config.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/runnable/config.py",
"repo_id": "langchain",
"token_count": 288
} | 549 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/blenderbot/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/blenderbot/__init__.py",
"repo_id": "transformers",
"token_count": 1632
} | 640 |
<jupyter_start><jupyter_text>Controllable Agents for RAGAdding agentic capabilities on top of your RAG pipeline can allow you to reason over much more complex questions.But a big pain point for agents is the **lack of steerability/transparency**. An agent may tackle a user query through chain-of-thought/planning, which... | llama_index/docs/examples/agent/agent_runner/agent_runner_rag_controllable.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/agent_runner/agent_runner_rag_controllable.ipynb",
"repo_id": "llama_index",
"token_count": 3963
} | 1,041 |
import { MessageContent } from "../messages/index.js";
import type { InputValues } from "../utils/types.js";
/**
* Type that specifies the format of a template. Only
* "f-string" is supported currently.
*/
export type TemplateFormat = "f-string";
/**
* Type that represents a node in a parsed format string. It can... | langchainjs/langchain-core/src/prompts/template.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/template.ts",
"repo_id": "langchainjs",
"token_count": 1889
} | 866 |
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