text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import unittest
import warnings
from datasets.utils import experimental
@experimental
def dummy_function():
return "success"
class TestExperimentalFlag(unittest.TestCase):
def test_experimental_warning(self):
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always"... | datasets/tests/test_experimental.py/0 | {
"file_path": "datasets/tests/test_experimental.py",
"repo_id": "datasets",
"token_count": 152
} | 149 |
[tool.poetry]
name = "mongo-parent-document-retrieval"
version = "0.0.1"
description = "RAG using MongoDB and OpenAI"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
pymongo = "^4.6.0"
pypdf = "^3.17.0"
tiktoken = "^0.5.1"
[tool.poetry.group.dev.de... | langchain/templates/mongo-parent-document-retrieval/pyproject.toml/0 | {
"file_path": "langchain/templates/mongo-parent-document-retrieval/pyproject.toml",
"repo_id": "langchain",
"token_count": 314
} | 645 |
export * from "./chat_models.js";
| langchainjs/libs/langchain-anthropic/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-anthropic/src/index.ts",
"repo_id": "langchainjs",
"token_count": 12
} | 972 |
<div style="text-align: center">
<img src="https://huggingface.co/datasets/trl-internal-testing/example-images/resolve/main/images/trl_banner_dark.png">
</div>
# TRL - Transformer Reinforcement Learning
> Full stack transformer language models with reinforcement learning.
<p align="center">
<a href="https://githu... | trl/README.md/0 | {
"file_path": "trl/README.md",
"repo_id": "trl",
"token_count": 2455
} | 780 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["WeaviateVectorStore"]
contains_example = false
import_path = "llama_index.vector_stores.w... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml",
"repo_id": "llama_index",
"token_count": 656
} | 1,500 |
import { Neo4jGraph } from "@langchain/community/graphs/neo4j_graph";
import { OpenAI } from "@langchain/openai";
import { GraphCypherQAChain } from "langchain/chains/graph_qa/cypher";
/**
* This example uses Neo4j database, which is native graph database.
* To set it up follow the instructions on https://neo4j.com/... | langchainjs/examples/src/chains/graph_db_neo4j.ts/0 | {
"file_path": "langchainjs/examples/src/chains/graph_db_neo4j.ts",
"repo_id": "langchainjs",
"token_count": 327
} | 764 |
"""Feedly Rss Reader."""
import json
from pathlib import Path
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class FeedlyRssReader(BaseReader):
"""Feedly Rss Reader.
Get entries from Feedly Rss Reader
Uses Feedly Official python-api-client: https://gi... | llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/llama_index/readers/feedly_rss/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/llama_index/readers/feedly_rss/base.py",
"repo_id": "llama_index",
"token_count": 887
} | 1,432 |
<jupyter_start><jupyter_text>Finetuner un modèle de language masqué (PyTorch) Installez les bibliothèques 🤗 *Datasets*, 🤗 *Transformers* et 🤗 *Accelerate* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install accelerate
# Pour exécuter l'entraînement sur TPU, vous ... | notebooks/course/fr/chapter7/section3_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section3_pt.ipynb",
"repo_id": "notebooks",
"token_count": 4290
} | 310 |
from langchain_community.document_loaders.parsers.txt import TextParser
__all__ = ["TextParser"]
| langchain/libs/langchain/langchain/document_loaders/parsers/txt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/txt.py",
"repo_id": "langchain",
"token_count": 30
} | 522 |
"""Init file of Playground."""
# playground
from llama_index.legacy.playground.base import (
DEFAULT_INDEX_CLASSES,
DEFAULT_MODES,
Playground,
)
__all__ = ["Playground", "DEFAULT_INDEX_CLASSES", "DEFAULT_MODES"]
| llama_index/llama-index-legacy/llama_index/legacy/playground/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/playground/__init__.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,625 |
import torch
import torch.distributed
from torch import nn
from transformers.modeling_utils import PreTrainedModel
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.uti... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 10032
} | 422 |
.. _Ref-Indices-List:
Summary Index
==========
Building the Summary Index
.. automodule:: llama_index.core.indices.list
:members:
:inherited-members:
:exclude-members: delete, docstore, index_struct, index_struct_cls
| llama_index/docs/api_reference/indices/list.rst/0 | {
"file_path": "llama_index/docs/api_reference/indices/list.rst",
"repo_id": "llama_index",
"token_count": 81
} | 1,158 |
from .value_guided_sampling import ValueGuidedRLPipeline
| diffusers/src/diffusers/experimental/rl/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/experimental/rl/__init__.py",
"repo_id": "diffusers",
"token_count": 17
} | 239 |
# coding:utf-8
import os
import tempfile
from typing import Any, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
class OBSFileLoader(BaseLoader):
""... | langchain/libs/community/langchain_community/document_loaders/obs_file.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/obs_file.py",
"repo_id": "langchain",
"token_count": 2022
} | 255 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/mgp_str/test_modeling_mgp_str.py/0 | {
"file_path": "transformers/tests/models/mgp_str/test_modeling_mgp_str.py",
"repo_id": "transformers",
"token_count": 4252
} | 722 |
# Load
import uuid
from langchain.retrievers.multi_vector import MultiVectorRetriever
from langchain.storage import InMemoryStore
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_core.do... | langchain/templates/rag-semi-structured/rag_semi_structured/chain.py/0 | {
"file_path": "langchain/templates/rag-semi-structured/rag_semi_structured/chain.py",
"repo_id": "langchain",
"token_count": 1281
} | 747 |
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def test_offline_with_timeout():
with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT):
with pytest.raises(Reques... | datasets/tests/test_offline_util.py/0 | {
"file_path": "datasets/tests/test_offline_util.py",
"repo_id": "datasets",
"token_count": 382
} | 169 |
module github.com/milvus-io/milvus
go 1.20
require (
github.com/Azure/azure-sdk-for-go/sdk/azcore v1.7.0
github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.3.0
github.com/Azure/azure-sdk-for-go/sdk/internal v1.3.0 // indirect
github.com/Azure/azure-sdk-for-go/sdk/storage/azblob v1.1.0
github.com/aliyun/credenti... | milvus/go.mod/0 | {
"file_path": "milvus/go.mod",
"repo_id": "milvus",
"token_count": 6083
} | 1,858 |
import CodeBlock from "@theme/CodeBlock";
# Google Vertex AI
The `GoogleVertexAIEmbeddings` class uses Google's Vertex AI PaLM models
to generate embeddings for a given text.
The Vertex AI implementation is meant to be used in Node.js and not
directly in a browser, since it requires a service account to use.
Before... | langchainjs/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.mdx",
"repo_id": "langchainjs",
"token_count": 400
} | 714 |
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [0.13.2]
- [#1096] Python 3.11 support
## [0.13.1]
- [#1072]... | tokenizers/bindings/python/CHANGELOG.md/0 | {
"file_path": "tokenizers/bindings/python/CHANGELOG.md",
"repo_id": "tokenizers",
"token_count": 7408
} | 444 |
# coding=utf-8
# Copyright 2020 The Microsoft 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
#
# Unl... | transformers/src/transformers/models/prophetnet/tokenization_prophetnet.py/0 | {
"file_path": "transformers/src/transformers/models/prophetnet/tokenization_prophetnet.py",
"repo_id": "transformers",
"token_count": 9509
} | 710 |
# 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/tuners/prefix_tuning/config.py/0 | {
"file_path": "peft/src/peft/tuners/prefix_tuning/config.py",
"repo_id": "peft",
"token_count": 447
} | 337 |
# coding=utf-8
# Copyright 2023 The LAION-AI 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... | transformers/src/transformers/models/clap/modeling_clap.py/0 | {
"file_path": "transformers/src/transformers/models/clap/modeling_clap.py",
"repo_id": "transformers",
"token_count": 44304
} | 578 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/pvt/test_modeling_pvt.py/0 | {
"file_path": "transformers/tests/models/pvt/test_modeling_pvt.py",
"repo_id": "transformers",
"token_count": 5180
} | 781 |
---
hide_table_of_contents: true
---
# Metal Retriever
This example shows how to use the Metal Retriever in a retrieval chain to retrieve documents from a Metal index.
## Setup
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTo... | langchainjs/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx",
"repo_id": "langchainjs",
"token_count": 171
} | 721 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/seamless_m4t/tokenization_seamless_m4t.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t/tokenization_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 11109
} | 718 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/test_pipelines_flax.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines_flax.py",
"repo_id": "diffusers",
"token_count": 4559
} | 272 |
# coding=utf-8
# Copyright 2022 The BAAI Teams Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licens... | transformers/src/transformers/models/altclip/modeling_altclip.py/0 | {
"file_path": "transformers/src/transformers/models/altclip/modeling_altclip.py",
"repo_id": "transformers",
"token_count": 33182
} | 617 |
from langchain_community.document_loaders.polars_dataframe import PolarsDataFrameLoader
__all__ = ["PolarsDataFrameLoader"]
| langchain/libs/langchain/langchain/document_loaders/polars_dataframe.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/polars_dataframe.py",
"repo_id": "langchain",
"token_count": 36
} | 513 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgdispatcher/client_test.go/0 | {
"file_path": "milvus/pkg/mq/msgdispatcher/client_test.go",
"repo_id": "milvus",
"token_count": 985
} | 1,895 |
<jupyter_start><jupyter_text>Multimodal RetrievalChroma supports multimodal collections, i.e. collections which contain, and can be queried by, multiple modalities of data.This notebook shows an example of how to create and query a collection with both text and images, using Chroma's built-in features. DatasetWe us a... | chroma/examples/multimodal/multimodal_retrieval.ipynb/0 | {
"file_path": "chroma/examples/multimodal/multimodal_retrieval.ipynb",
"repo_id": "chroma",
"token_count": 1628
} | 44 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,557 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["OpenLLM", "OpenLLMAPI"]
contains_example = false
import_path = "llama_index.llms.openllm"... | llama_index/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml",
"repo_id": "llama_index",
"token_count": 670
} | 1,311 |
// 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/kv/kv.go/0 | {
"file_path": "milvus/internal/kv/kv.go",
"repo_id": "milvus",
"token_count": 1090
} | 1,795 |
import torch
from text_generation_server.utils.layers import (
TensorParallelEmbedding,
)
class ProcessGroup:
def __init__(self, rank: int, world_size: int):
self._rank = rank
self.world_size = world_size
def size(self) -> int:
return self.world_size
def rank(self) -> int:
... | text-generation-inference/server/tests/utils/test_layers.py/0 | {
"file_path": "text-generation-inference/server/tests/utils/test_layers.py",
"repo_id": "text-generation-inference",
"token_count": 1111
} | 425 |
<jupyter_start><jupyter_text>Hippo>[Transwarp Hippo](https://www.transwarp.cn/en/subproduct/hippo) is an enterprise-level cloud-native distributed vector database that supports storage, retrieval, and management of massive vector-based datasets. It efficiently solves problems such as vector similarity search and high-d... | langchain/docs/docs/integrations/vectorstores/hippo.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/hippo.ipynb",
"repo_id": "langchain",
"token_count": 1857
} | 176 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["FirestoreKVStore"]
contains_example = false
import_path = "llama_index.storage.kvstore.fi... | llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml",
"repo_id": "llama_index",
"token_count": 658
} | 1,466 |
from typing import Optional, Type
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools import BaseTool
from neo4j_semantic_ollama.utils import get_candidates, get_user_id, graph
recommend... | langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/recommendation_tool.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/recommendation_tool.py",
"repo_id": "langchain",
"token_count": 2103
} | 672 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | transformers/examples/legacy/run_transfo_xl.py/0 | {
"file_path": "transformers/examples/legacy/run_transfo_xl.py",
"repo_id": "transformers",
"token_count": 2275
} | 545 |
package proxy
import (
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/util/funcutil"
)
type cntReducer struct {
collectionName string
}
func (r *cntReducer) Reduce(results []*internalpb.RetrieveResults) (*milvus... | milvus/internal/proxy/count_reducer.go/0 | {
"file_path": "milvus/internal/proxy/count_reducer.go",
"repo_id": "milvus",
"token_count": 249
} | 1,878 |
<jupyter_start><jupyter_text>Finetuner un modèle avec Keras Installez les bibliothèques 🤗 Transformers et 🤗 Datasets pour exécuter ce notebook.<jupyter_code>!pip install datasets transformers[sentencepiece]
from datasets import load_dataset
from transformers import AutoTokenizer, DataCollatorWithPadding
import numpy ... | notebooks/course/fr/chapter3/section3_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter3/section3_tf.ipynb",
"repo_id": "notebooks",
"token_count": 1107
} | 311 |
metrics:
serviceMonitor:
enabled: true
pulsar:
bookkeeper:
volumes:
ledgers:
existingStorageClassName: local-path
zookeeper:
volumes:
data:
existingStorageClassName: local-path
kafka:
metrics:
kafka:
enabled: true
jmx:
enabled: true
serviceMonitor... | milvus/tests/scripts/values/nightly.yaml/0 | {
"file_path": "milvus/tests/scripts/values/nightly.yaml",
"repo_id": "milvus",
"token_count": 151
} | 2,050 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/storage/ChunkManager.h/0 | {
"file_path": "milvus/internal/core/src/storage/ChunkManager.h",
"repo_id": "milvus",
"token_count": 1245
} | 1,805 |
import { loadEvaluator } from "langchain/evaluation";
import { PRINCIPLES } from "langchain/chains";
import { ChatAnthropic } from "@langchain/anthropic";
const model = new ChatAnthropic();
const chain = await loadEvaluator("criteria", {
criteria: PRINCIPLES.harmful1,
llm: model,
});
const res = await chain.eval... | langchainjs/examples/src/guides/evaluation/string/configuring_criteria_llm.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/string/configuring_criteria_llm.ts",
"repo_id": "langchainjs",
"token_count": 340
} | 803 |
# LlamaIndex Experimental
This is the experimental LlamaIndex extension to core. Experimental features
and classes can be found in this package. Features that reside in this project
are more volatile, but indeed can be promoted to core once they've stabilized.
| llama_index/llama-index-experimental/README.md/0 | {
"file_path": "llama_index/llama-index-experimental/README.md",
"repo_id": "llama_index",
"token_count": 54
} | 1,332 |
# coding=utf-8
# Copyright Studio Ousia 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 required b... | transformers/src/transformers/models/luke/configuration_luke.py/0 | {
"file_path": "transformers/src/transformers/models/luke/configuration_luke.py",
"repo_id": "transformers",
"token_count": 2585
} | 624 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-string-iterable/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,447 |
<jupyter_start><jupyter_text>SQL Query Engine with LlamaIndex + DuckDBThis guide showcases the core LlamaIndex SQL capabilities with DuckDB. We go through some core LlamaIndex data structures, including the `NLSQLTableQueryEngine` and `SQLTableRetrieverQueryEngine`. If you're opening this Notebook on colab, you will p... | llama_index/docs/examples/index_structs/struct_indices/duckdb_sql_query.ipynb/0 | {
"file_path": "llama_index/docs/examples/index_structs/struct_indices/duckdb_sql_query.ipynb",
"repo_id": "llama_index",
"token_count": 2346
} | 1,105 |
# __init__.py
from llama_index.tools.openapi.base import (
OpenAPIToolSpec,
)
__all__ = ["OpenAPIToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-openapi/llama_index/tools/openapi/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openapi/llama_index/tools/openapi/__init__.py",
"repo_id": "llama_index",
"token_count": 47
} | 1,494 |
"""Prompt display utils."""
from llama_index.core.prompts.mixin import PromptDictType
# define prompt viewing function
def display_prompt_dict(prompts_dict: PromptDictType) -> None:
"""Display prompt dict.
Args:
prompts_dict: prompt dict
"""
from IPython.display import Markdown, display
... | llama_index/llama-index-core/llama_index/core/prompts/display_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/display_utils.py",
"repo_id": "llama_index",
"token_count": 211
} | 1,238 |
from pathlib import Path
import pytest
from langchain_community.graphs import OntotextGraphDBGraph
"""
cd libs/community/tests/integration_tests/graphs/docker-compose-ontotext-graphdb
./start.sh
"""
def test_query_method_with_valid_query() -> None:
graph = OntotextGraphDBGraph(
query_endpoint="http://l... | langchain/libs/community/tests/integration_tests/graphs/test_ontotext_graphdb_graph.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_ontotext_graphdb_graph.py",
"repo_id": "langchain",
"token_count": 3073
} | 338 |
kind: NetworkChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-proxy-network-latency
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: proxy
mode: all
action: delay
delay:
latenc... | milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_proxy_network_latency.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_proxy_network_latency.yaml",
"repo_id": "milvus",
"token_count": 224
} | 2,022 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.chatgpt_plugin import ChatGPTRetrievalPluginReader
def test_class():
names_of_base_classes = [b.__name__ for b in ChatGPTRetrievalPluginReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/tests/test_readers_chatgpt_plugin.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/tests/test_readers_chatgpt_plugin.py",
"repo_id": "llama_index",
"token_count": 101
} | 1,301 |
use super::{Cpu, CpuF16};
#[cfg(target_arch = "x86")]
use core::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use core::arch::x86_64::*;
use half::f16;
pub struct CurrentCpu {}
const STEP: usize = 32;
const EPR: usize = 8;
const ARR: usize = STEP / EPR;
impl Cpu<ARR> for CurrentCpu {
type Unit = __m256;
type... | candle/candle-core/src/cpu/avx.rs/0 | {
"file_path": "candle/candle-core/src/cpu/avx.rs",
"repo_id": "candle",
"token_count": 2094
} | 34 |
import { MainApi } from "@rockset/client";
import type { CreateCollectionRequest } from "@rockset/client/dist/codegen/api.d.ts";
import { Collection } from "@rockset/client/dist/codegen/api.js";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorst... | langchainjs/libs/langchain-community/src/vectorstores/rockset.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/rockset.ts",
"repo_id": "langchainjs",
"token_count": 5532
} | 1,015 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/mq/mqimpl/rocksmq/client/client_impl.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/client/client_impl.go",
"repo_id": "milvus",
"token_count": 1884
} | 1,731 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/amused.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/amused.md",
"repo_id": "diffusers",
"token_count": 771
} | 176 |
from langchain_community.chat_models import ChatAnthropic
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import ConfigurableField
from .prompts import answer_prompt
from .retr... | langchain/templates/anthropic-iterative-search/anthropic_iterative_search/chain.py/0 | {
"file_path": "langchain/templates/anthropic-iterative-search/anthropic_iterative_search/chain.py",
"repo_id": "langchain",
"token_count": 327
} | 682 |
<jupyter_start><jupyter_text>DataFrame Structured Data Extraction This demo shows how you can extract tabular DataFrames from raw text.This was directly inspired by jxnl's dataframe example here: https://github.com/jxnl/openai_function_call/blob/main/auto_dataframe.py.We show this with different levels of complexity, a... | llama_index/docs/examples/output_parsing/df_program.ipynb/0 | {
"file_path": "llama_index/docs/examples/output_parsing/df_program.ipynb",
"repo_id": "llama_index",
"token_count": 2310
} | 1,204 |
# coding=utf-8
# Copyright 2023 Microsoft Research & University of Wisconsin-Madison 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
#
# ... | transformers/src/transformers/models/vipllava/configuration_vipllava.py/0 | {
"file_path": "transformers/src/transformers/models/vipllava/configuration_vipllava.py",
"repo_id": "transformers",
"token_count": 2161
} | 691 |
{
"object": "page",
"id": "7a1c25f2-d8a7-46d9-a2da-c9e39e018a56",
"created_time": "2023-06-14T10:29:00.000Z",
"last_edited_time": "2023-09-27T09:11:00.000Z",
"created_by": {
"object": "user",
"id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"
},
"last_edited_by": {
"object": "user",
"id": "c9b34... | langchainjs/langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json",
"repo_id": "langchainjs",
"token_count": 8627
} | 878 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,266 |
import { Redis } from "ioredis";
import {
BaseCache,
getCacheKey,
serializeGeneration,
deserializeStoredGeneration,
} from "@langchain/core/caches";
import { Generation } from "@langchain/core/outputs";
/**
* Cache LLM results using Redis.
* @example
* ```typescript
* const model = new ChatOpenAI({
* ca... | langchainjs/libs/langchain-community/src/caches/ioredis.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/caches/ioredis.ts",
"repo_id": "langchainjs",
"token_count": 957
} | 934 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/interface_def.go/0 | {
"file_path": "milvus/internal/proxy/interface_def.go",
"repo_id": "milvus",
"token_count": 434
} | 2,016 |
//! The MNIST hand-written digit dataset.
//!
//! The files can be obtained from the following link:
//! <http://yann.lecun.com/exdb/mnist/>
use candle::{DType, Device, Error, Result, Tensor};
use hf_hub::{api::sync::Api, Repo, RepoType};
use parquet::file::reader::{FileReader, SerializedFileReader};
use std::fs::File;... | candle/candle-datasets/src/vision/mnist.rs/0 | {
"file_path": "candle/candle-datasets/src/vision/mnist.rs",
"repo_id": "candle",
"token_count": 2129
} | 37 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/legacy/react/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/legacy/react/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,486 |
"""Test Vertex AI API wrapper.
Your end-user credentials would be used to make the calls (make sure you've run
`gcloud auth login` first).
"""
import os
from typing import Optional
import pytest
from langchain_core.outputs import LLMResult
from langchain_google_vertexai.llms import VertexAI, VertexAIModelGarden
mo... | langchain/libs/partners/google-vertexai/tests/integration_tests/test_llms.py/0 | {
"file_path": "langchain/libs/partners/google-vertexai/tests/integration_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 2484
} | 688 |
import { test } from "@jest/globals";
import { OpenAIModerationChain } from "../openai_moderation.js";
test("OpenAI Moderation Test", async () => {
const badString = "I hate myself and want to do harm to myself";
const goodString =
"The cat (Felis catus) is a domestic species of small carnivorous mammal.";
... | langchainjs/langchain/src/chains/tests/openai_moderation.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/openai_moderation.int.test.ts",
"repo_id": "langchainjs",
"token_count": 798
} | 962 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,612 |
[tool.poetry]
name = "langchain-experimental"
version = "0.0.51"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = "^0.1.16... | langchain/libs/experimental/pyproject.toml/0 | {
"file_path": "langchain/libs/experimental/pyproject.toml",
"repo_id": "langchain",
"token_count": 1414
} | 426 |
from __future__ import annotations
import logging
import os
from typing import Any, Callable, Dict, List, Mapping, Optional, Union
import openai
from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from langchain_openai.l... | langchain/libs/partners/openai/langchain_openai/llms/azure.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/llms/azure.py",
"repo_id": "langchain",
"token_count": 3432
} | 660 |
# Sprint Dreambooth en Keras
Cette paget résume toutes les informations pertinentes requises pour l'événement. 📋.
## Introduction
Dreambooth est une technique de *finetuning* permettant d'enseigner de nouveaux concepts visuels à des modèles de diffusion conditionnés par le texte en utilisant seulement 3 à 5 images.... | diffusion-models-class/units/fr/events/3.mdx/0 | {
"file_path": "diffusion-models-class/units/fr/events/3.mdx",
"repo_id": "diffusion-models-class",
"token_count": 4273
} | 289 |
<!--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/testing.md/0 | {
"file_path": "transformers/docs/source/ja/testing.md",
"repo_id": "transformers",
"token_count": 22732
} | 537 |
# DocArray
> [DocArray](https://docarray.jina.ai/) is a library for nested, unstructured, multimodal data in transit,
> including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process,
> embed, search, recommend, store, and transfer multimodal data with a Pythonic API.
#... | langchain/docs/docs/integrations/providers/docarray.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/docarray.mdx",
"repo_id": "langchain",
"token_count": 249
} | 134 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-rootcoord-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: rootcoord
mode: fixed
value: "1"
action: pod-failur... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_rootcoord_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_rootcoord_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 141
} | 2,026 |
from typing import Any, Dict, List, Mapping, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from requests.adapters import HTTPAdapte... | langchain/libs/community/langchain_community/embeddings/embaas.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/embaas.py",
"repo_id": "langchain",
"token_count": 2322
} | 269 |
# LlamaIndex Readers Integration: Elasticsearch
| llama_index/llama-index-integrations/readers/llama-index-readers-elasticsearch/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-elasticsearch/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,341 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/lora/test_lora_layers_peft.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_peft.py",
"repo_id": "diffusers",
"token_count": 46712
} | 269 |
import pytest
@pytest.fixture(scope="module")
def idefics_handle(launcher):
with launcher(
"HuggingFaceM4/idefics-9b-instruct", num_shard=2, dtype="float16"
) as handle:
yield handle
@pytest.fixture(scope="module")
async def idefics(idefics_handle):
await idefics_handle.health(300)
r... | text-generation-inference/integration-tests/models/test_idefics.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_idefics.py",
"repo_id": "text-generation-inference",
"token_count": 552
} | 370 |
<!--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/ja/model_doc/dialogpt.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/dialogpt.md",
"repo_id": "transformers",
"token_count": 1571
} | 549 |
# Jaguar
This page describes how to use Jaguar vector database within LangChain.
It contains three sections: introduction, installation and setup, and Jaguar API.
## Introduction
Jaguar vector database has the following characteristics:
1. It is a distributed vector database
2. The “ZeroMove” feature of JaguarDB e... | langchain/docs/docs/integrations/providers/jaguar.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/jaguar.mdx",
"repo_id": "langchain",
"token_count": 517
} | 149 |
<jupyter_start><jupyter_text>Arxiv>[arXiv](https://arxiv.org/) is an open-access archive for 2 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics.This notebook shows how to ... | langchain/docs/docs/integrations/document_loaders/arxiv.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/arxiv.ipynb",
"repo_id": "langchain",
"token_count": 445
} | 93 |
def test_version_available() -> None:
"""Test that a version is available."""
from langserve import __version__ # noqa: F401
| langserve/tests/unit_tests/test_version.py/0 | {
"file_path": "langserve/tests/unit_tests/test_version.py",
"repo_id": "langserve",
"token_count": 43
} | 1,092 |
from langchain_community.tools.slack.schedule_message import (
ScheduleMessageSchema,
SlackScheduleMessage,
)
__all__ = ["ScheduleMessageSchema", "SlackScheduleMessage"]
| langchain/libs/langchain/langchain/tools/slack/schedule_message.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/slack/schedule_message.py",
"repo_id": "langchain",
"token_count": 58
} | 560 |
<jupyter_start><jupyter_text>Huggingface TextGen Inference[Text Generation Inference](https://github.com/huggingface/text-generation-inference) is a Rust, Python and gRPC server for text generation inference. Used in production at [HuggingFace](https://huggingface.co/) to power LLMs api-inference widgets.This notebooks... | langchain/docs/docs/integrations/llms/huggingface_textgen_inference.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/huggingface_textgen_inference.ipynb",
"repo_id": "langchain",
"token_count": 485
} | 119 |
search_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_7/not_exist
cache_config.cpu_cache_capacity: 64
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 200
gpu_resource_config.enable: true
gpu_resource_co... | milvus/tests/benchmark/milvus_benchmark/suites/clean.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/clean.yaml",
"repo_id": "milvus",
"token_count": 356
} | 1,870 |
{
"input_variables": ["foo"],
"template": "This is a {foo} test."
} | langchain/libs/core/tests/unit_tests/data/prompts/simple_prompt.json/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/data/prompts/simple_prompt.json",
"repo_id": "langchain",
"token_count": 28
} | 435 |
from typing import Optional
from llama_index.core.storage.index_store.keyval_index_store import KVIndexStore
from llama_index.core.storage.kvstore.postgres_kvstore import PostgresKVStore
class PostgresIndexStore(KVIndexStore):
"""Mongo Index store.
Args:
mongo_kvstore (MongoDBKVStore): MongoDB key-v... | llama_index/llama-index-core/llama_index/core/storage/index_store/postgres_index_store.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/index_store/postgres_index_store.py",
"repo_id": "llama_index",
"token_count": 1073
} | 1,209 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/channel_checker.go/0 | {
"file_path": "milvus/internal/datacoord/channel_checker.go",
"repo_id": "milvus",
"token_count": 2635
} | 1,909 |
package proxy
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/util/funcutil"
)
func Test_cntReducer_Reduce(t *testing.T) {
t.Run("invalid", func(t *testi... | milvus/internal/proxy/count_reducer_test.go/0 | {
"file_path": "milvus/internal/proxy/count_reducer_test.go",
"repo_id": "milvus",
"token_count": 446
} | 1,844 |
## init
from llama_index.tools.yahoo_finance.base import (
YahooFinanceToolSpec,
)
__all__ = ["YahooFinanceToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/llama_index/tools/yahoo_finance/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/llama_index/tools/yahoo_finance/__init__.py",
"repo_id": "llama_index",
"token_count": 46
} | 1,508 |
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import type { LayoutServerLoad } from "./$types";
export const load = (async ({ locals, parent }) => {
const { settings } = await parent();
// find assistants matching the settings assistants
const assistants = await collection... | chat-ui/src/routes/settings/+layout.server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/+layout.server.ts",
"repo_id": "chat-ui",
"token_count": 329
} | 119 |
"""Test composing indices."""
from typing import Dict, List
from llama_index.legacy.indices.composability.graph import ComposableGraph
from llama_index.legacy.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.legacy.indices.list.base import SummaryIndex
from llama_index.legacy... | llama_index/llama-index-legacy/tests/indices/query/test_compose.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/test_compose.py",
"repo_id": "llama_index",
"token_count": 2613
} | 1,737 |
# coding=utf-8
# Copyright 2022 Microsoft Research, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | transformers/src/transformers/models/resnet/modeling_tf_resnet.py/0 | {
"file_path": "transformers/src/transformers/models/resnet/modeling_tf_resnet.py",
"repo_id": "transformers",
"token_count": 10058
} | 662 |
import { ChatOpenAI } from "@langchain/openai";
import { RunnableSequence } from "@langchain/core/runnables";
import { AgentExecutor, type AgentStep } from "langchain/agents";
import { formatToOpenAIFunctionMessages } from "langchain/agents/format_scratchpad";
import {
ChatPromptTemplate,
MessagesPlaceholder,
} fro... | langchainjs/examples/src/agents/custom_agent.ts/0 | {
"file_path": "langchainjs/examples/src/agents/custom_agent.ts",
"repo_id": "langchainjs",
"token_count": 1288
} | 838 |
import { LLMChain } from "langchain/chains";
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
const chain = new LLMChain({
llm: new OpenAI({ temperature: 0 }),
prompt: PromptTemplate.fromTemplate("Hello, world!"),
// This will enable logging of all Chain *and*... | langchainjs/examples/src/callbacks/docs_verbose.ts/0 | {
"file_path": "langchainjs/examples/src/callbacks/docs_verbose.ts",
"repo_id": "langchainjs",
"token_count": 113
} | 843 |
// 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/metrics/datacoord_metrics.go/0 | {
"file_path": "milvus/pkg/metrics/datacoord_metrics.go",
"repo_id": "milvus",
"token_count": 4042
} | 1,819 |
---
hide_table_of_contents: true
sidebar_class_name: hidden
---
import CodeBlock from "@theme/CodeBlock";
# Structured Output with OpenAI functions
:::tip Compatibility
Must be used with an [OpenAI functions](https://platform.openai.com/docs/guides/gpt/function-calling) model.
:::
This example shows how to leverage... | langchainjs/docs/core_docs/docs/modules/chains/popular/structured_output.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/popular/structured_output.mdx",
"repo_id": "langchainjs",
"token_count": 555
} | 754 |
use candle::{DType, IndexOp, Result, Tensor, D};
use candle_nn::{batch_norm, conv2d, conv2d_no_bias, Conv2d, Conv2dConfig, Module, VarBuilder};
#[derive(Clone, Copy, PartialEq, Debug)]
pub struct Multiples {
depth: f64,
width: f64,
ratio: f64,
}
impl Multiples {
pub fn n() -> Self {
Self {
... | candle/candle-examples/examples/yolo-v8/model.rs/0 | {
"file_path": "candle/candle-examples/examples/yolo-v8/model.rs",
"repo_id": "candle",
"token_count": 12422
} | 49 |
import type {
StructuredToolInterface,
ToolInterface,
} from "@langchain/core/tools";
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { CallbackManager, Callbacks } from "@langchain/core/callbacks/manager";
import { BasePromptTemplate } from "@langchain/core/prompts";
... | langchainjs/langchain/src/agents/agent.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/agent.ts",
"repo_id": "langchainjs",
"token_count": 4592
} | 940 |
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