text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/decision_transformer.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/decision_transformer.md",
"repo_id": "transformers",
"token_count": 1073
} | 531 |
---
hide_table_of_contents: true
sidebar_position: 3
sidebar_class_name: hidden
---
# Conversational
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/agents/chat_convo_with_tracing.ts";
import RunnableExample from "@examples/agents/chat_convo_with_tracing_runnable.ts";
This walkthrough demons... | langchainjs/docs/core_docs/docs/modules/agents/agent_types/chat_conversation_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/agent_types/chat_conversation_agent.mdx",
"repo_id": "langchainjs",
"token_count": 663
} | 746 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-linear/llama_index/readers/linear/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-linear/llama_index/readers/linear/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,328 |
from typing import List, Sequence
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import BaseMessage
from langchain_core.pydantic_v1 import BaseModel, Field
class ChatMessageHistory(BaseChatMessageHistory, BaseModel):
"""In memory implementation of chat message history... | langchain/libs/community/langchain_community/chat_message_histories/in_memory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/in_memory.py",
"repo_id": "langchain",
"token_count": 316
} | 234 |
"""Create LlamaIndex agents."""
from typing import Any, Optional
from llama_index.core.bridge.langchain import (
AgentExecutor,
AgentType,
BaseCallbackManager,
BaseLLM,
initialize_agent,
)
from llama_index.core.langchain_helpers.agents.toolkits import LlamaToolkit
def create_llama_agent(
too... | llama_index/llama-index-core/llama_index/core/langchain_helpers/agents/agents.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/langchain_helpers/agents/agents.py",
"repo_id": "llama_index",
"token_count": 1156
} | 1,197 |
<jupyter_start><jupyter_text>Elasticsearch Vector Store Elasticsearch is a distributed, RESTful search and analytics engine, capable of performing both vector and keyword search. It is built on top of the Apache Lucene library.[Signup](https://cloud.elastic.co/registration?utm_source=llama-index&utm_content=documentati... | llama_index/docs/examples/vector_stores/ElasticsearchIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/ElasticsearchIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 3172
} | 1,089 |
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow 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
#
# U... | datasets/src/datasets/splits.py/0 | {
"file_path": "datasets/src/datasets/splits.py",
"repo_id": "datasets",
"token_count": 9636
} | 140 |
---
sidebar_class_name: hidden
---
# SQL
This example demonstrates the use of `Runnables` with questions and more on a SQL database.
import CodeBlock from "@theme/CodeBlock";
import SqlDBExample from "@examples/chains/sql_db.ts";
import SqlDBSqlOutputExample from "@examples/chains/sql_db_sql_output.ts";
This exampl... | langchainjs/docs/core_docs/docs/modules/chains/popular/sqlite.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/popular/sqlite.mdx",
"repo_id": "langchainjs",
"token_count": 743
} | 784 |
package segmentutil
import (
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/pkg/log"
)
// ReCalcRowCount re-calculates number of rows of `oldSeg` based on its bin log count, and correct its value in its
// cloned copy, which is `newSeg`.
// Note that `segCloned`... | milvus/internal/util/segmentutil/utils.go/0 | {
"file_path": "milvus/internal/util/segmentutil/utils.go",
"repo_id": "milvus",
"token_count": 516
} | 2,025 |
# Agent
This example shows how to expose an agent as a ChatGPTPlugin.
Step 1: Make any modifications to `chain.py` as you see fit (changing prompts, etc.)
Step 2: Make any changes to `constants.py` as you see fit (this is where you control the descriptions used, etc)
| langchain-aiplugin/agent/README.md/0 | {
"file_path": "langchain-aiplugin/agent/README.md",
"repo_id": "langchain-aiplugin",
"token_count": 75
} | 62 |
import {expect, test} from "@jest/globals";
import {ChromaClient} from "../src/ChromaClient";
import {chromaTokenDefault, chromaTokenBearer, chromaTokenXToken, cloudClient} from "./initClientWithAuth";
import chromaNoAuth from "./initClient";
test("it should get the version without auth needed", async () => {
cons... | chroma/clients/js/test/auth.token.test.ts/0 | {
"file_path": "chroma/clients/js/test/auth.token.test.ts",
"repo_id": "chroma",
"token_count": 1055
} | 33 |
from typing import Any
from llama_index.legacy.callbacks.base_handler import BaseCallbackHandler
def deepeval_callback_handler(**kwargs: Any) -> BaseCallbackHandler:
try:
from deepeval.tracing.integrations.llama_index import LlamaIndexCallbackHandler
except ImportError:
raise ImportError("Ple... | llama_index/llama-index-legacy/llama_index/legacy/callbacks/deepeval_callback.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/deepeval_callback.py",
"repo_id": "llama_index",
"token_count": 138
} | 1,692 |
# flake8: noqa
from langchain.output_parsers.regex import RegexParser
from langchain_core.prompts import PromptTemplate
template = """You are a teacher coming up with questions to ask on a quiz.
Given the following document, please generate a question and answer based on that document.
Example Format:
<Begin Documen... | langchain/libs/langchain/langchain/evaluation/qa/generate_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/qa/generate_prompt.py",
"repo_id": "langchain",
"token_count": 169
} | 538 |
<!--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/zh/peft.md/0 | {
"file_path": "transformers/docs/source/zh/peft.md",
"repo_id": "transformers",
"token_count": 3628
} | 515 |
import argparse
import json
import logging
import os
from collections import Counter
from dataclasses import dataclass
from operator import attrgetter
from typing import Dict, List, Optional, Union
import safetensors
import torch
import torch.nn as nn
from diffusers import UNet2DConditionModel
from transformers import... | peft/examples/stable_diffusion/convert_sd_adapter_to_peft.py/0 | {
"file_path": "peft/examples/stable_diffusion/convert_sd_adapter_to_peft.py",
"repo_id": "peft",
"token_count": 10390
} | 332 |
from llama_index.indices.managed.llama_cloud.base import LlamaCloudIndex
from llama_index.indices.managed.llama_cloud.retriever import LlamaCloudRetriever
__all__ = [
"LlamaCloudIndex",
"LlamaCloudRetriever",
]
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py",
"repo_id": "llama_index",
"token_count": 83
} | 1,295 |
from langchain_community.callbacks.flyte_callback import (
FlyteCallbackHandler,
)
__all__ = ["FlyteCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/flyte_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/flyte_callback.py",
"repo_id": "langchain",
"token_count": 39
} | 480 |
<!--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/outputs.md/0 | {
"file_path": "diffusers/docs/source/en/api/outputs.md",
"repo_id": "diffusers",
"token_count": 554
} | 182 |
# Token Counting - Migration Guide
The existing token counting implementation has been **deprecated**.
We know token counting is important to many users, so this guide was created to walkthrough a (hopefully painless) transition.
Previously, token counting was kept track of on the `llm_predictor` and `embed_model` o... | llama_index/docs/module_guides/observability/callbacks/token_counting_migration.md/0 | {
"file_path": "llama_index/docs/module_guides/observability/callbacks/token_counting_migration.md",
"repo_id": "llama_index",
"token_count": 679
} | 1,159 |
from datetime import datetime
from unittest.mock import patch
import pytest
import pytest_asyncio
from sqlalchemy import select
from langchain_community.indexes._sql_record_manager import (
SQLRecordManager,
UpsertionRecord,
)
@pytest.fixture()
def manager() -> SQLRecordManager:
"""Initialize the test d... | langchain/libs/community/tests/unit_tests/indexes/test_sql_record_manager.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/indexes/test_sql_record_manager.py",
"repo_id": "langchain",
"token_count": 8797
} | 378 |
use std::io::Result;
fn main() -> Result<()> {
prost_build::compile_protos(&["src/onnx.proto3"], &["src/"])?;
Ok(())
}
| candle/candle-onnx/build.rs/0 | {
"file_path": "candle/candle-onnx/build.rs",
"repo_id": "candle",
"token_count": 60
} | 66 |
# 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/dit/test_dit.py/0 | {
"file_path": "diffusers/tests/pipelines/dit/test_dit.py",
"repo_id": "diffusers",
"token_count": 2338
} | 278 |
- sections:
- local: index
title: "🧨 Diffusers"
- local: quicktour
title: "훑어보기"
- local: stable_diffusion
title: Stable Diffusion
- local: installation
title: "설치"
title: "시작하기"
- sections:
- local: tutorials/tutorial_overview
title: 개요
- local: using-diffusers/write_own_pipeline
... | diffusers/docs/source/ko/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/ko/_toctree.yml",
"repo_id": "diffusers",
"token_count": 2235
} | 177 |
"""Environment information."""
import functools
import logging
import os
import platform
import subprocess
from typing import Dict, List, Optional, Union
from langsmith.utils import get_docker_compose_command
from langsmith.env._git import exec_git
try:
# psutil is an optional dependency
import psutil
_P... | langsmith-sdk/python/langsmith/env/_runtime_env.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/env/_runtime_env.py",
"repo_id": "langsmith-sdk",
"token_count": 2968
} | 1,080 |
locals {
secret_json = jsondecode(data.google_secret_manager_secret_version.chat_langchain_backend_secrets.secret_data)
region = "YOUR REGION"
project_id = "YOUR PROJECT ID"
}
provider "google" {
project = local.project_id
region = local.region
}
# Load secrets from Secret Manager. You can specify yo... | chat-langchain/terraform/main.tf/0 | {
"file_path": "chat-langchain/terraform/main.tf",
"repo_id": "chat-langchain",
"token_count": 481
} | 9 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-azure-translate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-translate/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,479 |
# coding=utf-8
# 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 requir... | transformers/tests/models/gpt_bigcode/test_modeling_gpt_bigcode.py/0 | {
"file_path": "transformers/tests/models/gpt_bigcode/test_modeling_gpt_bigcode.py",
"repo_id": "transformers",
"token_count": 11767
} | 727 |
// 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/roundrobin_balancer_test.go/0 | {
"file_path": "milvus/internal/proxy/roundrobin_balancer_test.go",
"repo_id": "milvus",
"token_count": 928
} | 1,851 |
from __future__ import annotations
import logging
from copy import deepcopy
from enum import Enum
from typing import Any, Iterable, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.runnables import run_in_executor
from langchain_c... | langchain/libs/community/langchain_community/vectorstores/rocksetdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/rocksetdb.py",
"repo_id": "langchain",
"token_count": 5787
} | 340 |
from langchain_community.callbacks.human import (
AsyncHumanApprovalCallbackHandler,
HumanApprovalCallbackHandler,
HumanRejectedException,
)
__all__ = [
"HumanRejectedException",
"HumanApprovalCallbackHandler",
"AsyncHumanApprovalCallbackHandler",
]
| langchain/libs/langchain/langchain/callbacks/human.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/human.py",
"repo_id": "langchain",
"token_count": 92
} | 474 |
/**
* Represents the different types of arguments that can be used in
* LangChain.
*/
export type ArgumentsType =
| IdentifierType
| StringLiteralType
| NumericLiteralType
| ArrayLiteralType
| ObjectLiteralType
| CallExpressionType
| BooleanLiteralType;
/**
* Represents the parsed types in LangChain,... | langchainjs/langchain/src/output_parsers/expression_type_handlers/types.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/types.ts",
"repo_id": "langchainjs",
"token_count": 834
} | 937 |
# Infino
>[Infino](https://github.com/infinohq/infino) is an open-source observability platform that stores both metrics and application logs together.
Key features of `Infino` include:
- **Metrics Tracking**: Capture time taken by LLM model to handle request, errors, number of tokens, and costing indication for the ... | langchain/docs/docs/integrations/providers/infino.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/infino.mdx",
"repo_id": "langchain",
"token_count": 333
} | 150 |
<jupyter_start><jupyter_text>OpenAI Assistant AgentThis shows you how to use our agent abstractions built on top of the [OpenAI Assistant API](https://platform.openai.com/docs/assistants/overview).<jupyter_code>%pip install llama-index-agent-openai
%pip install llama-index-vector-stores-supabase
!pip install llama-inde... | llama_index/docs/examples/agent/openai_assistant_agent.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_assistant_agent.ipynb",
"repo_id": "llama_index",
"token_count": 2879
} | 1,092 |
# 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/cvt/test_modeling_cvt.py/0 | {
"file_path": "transformers/tests/models/cvt/test_modeling_cvt.py",
"repo_id": "transformers",
"token_count": 4333
} | 810 |
<jupyter_start><jupyter_text>OpenAI function calling for Sub-Question Query Engine In this notebook, we showcase how to use OpenAI function calling to improve the robustness of our sub-question query engine. The sub-question query engine is designed to accept swappable question generators that implement the `BaseQues... | llama_index/docs/examples/output_parsing/openai_sub_question.ipynb/0 | {
"file_path": "llama_index/docs/examples/output_parsing/openai_sub_question.ipynb",
"repo_id": "llama_index",
"token_count": 947
} | 1,155 |
# order by contributions
reviewers:
- xiaocai2333
- czs007
approvers:
- maintainers
| milvus/internal/tso/OWNERS/0 | {
"file_path": "milvus/internal/tso/OWNERS",
"repo_id": "milvus",
"token_count": 34
} | 1,874 |
from llama_index.readers.opensearch.base import OpensearchReader
__all__ = ["OpensearchReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/llama_index/readers/opensearch/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opensearch/llama_index/readers/opensearch/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,532 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/tasks/object_detection.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/object_detection.md",
"repo_id": "transformers",
"token_count": 16892
} | 499 |
from llama_index.embeddings.azure_openai.base import (
AzureOpenAIEmbedding,
AzureOpenAI,
AsyncAzureOpenAI,
)
__all__ = ["AzureOpenAIEmbedding", "AzureOpenAI", "AsyncAzureOpenAI"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/__init__.py",
"repo_id": "llama_index",
"token_count": 82
} | 1,220 |
---
sidebar_position: 0.5
---
# Repository Structure
If you plan on contributing to LangChain code or documentation, it can be useful
to understand the high level structure of the repository.
LangChain is organized as a [monorep](https://en.wikipedia.org/wiki/Monorepo) that contains multiple packages.
Here's the str... | langchain/docs/docs/contributing/repo_structure.mdx/0 | {
"file_path": "langchain/docs/docs/contributing/repo_structure.mdx",
"repo_id": "langchain",
"token_count": 625
} | 85 |
# 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... | alignment-handbook/setup.py/0 | {
"file_path": "alignment-handbook/setup.py",
"repo_id": "alignment-handbook",
"token_count": 1995
} | 26 |
import { test, expect } from "@jest/globals";
import { TextLoader } from "../fs/text.js";
test("Test Text loader from blob", async () => {
const loader = new TextLoader(
new Blob(["Hello, world!"], { type: "text/plain" })
);
const docs = await loader.load();
expect(docs.length).toBe(1);
expect(docs[0].p... | langchainjs/langchain/src/document_loaders/tests/text-blob.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/text-blob.test.ts",
"repo_id": "langchainjs",
"token_count": 185
} | 924 |
# Linear Reader
The Linear loader returns issue based on the query.
## Usage
Here's an example of how to use it
```python
from llama_hub.linear import LinearReader
reader = LinearReader(api_key=api_key)
query = """
query Team {
team(id: "9cfb482a-81e3-4154-b5b9-2c805e70a02d") {
id
... | llama_index/llama-index-integrations/readers/llama-index-readers-linear/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-linear/README.md",
"repo_id": "llama_index",
"token_count": 872
} | 1,340 |
// 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/storage/minio_object_storage.go/0 | {
"file_path": "milvus/internal/storage/minio_object_storage.go",
"repo_id": "milvus",
"token_count": 2661
} | 2,011 |
# coding=utf-8
# Copyright 2021 T5 Authors and HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | transformers/src/transformers/models/byt5/tokenization_byt5.py/0 | {
"file_path": "transformers/src/transformers/models/byt5/tokenization_byt5.py",
"repo_id": "transformers",
"token_count": 4279
} | 655 |
"""Integration test for PubMed API Wrapper."""
from typing import List
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders import PubMedLoader
xmltodict = pytest.importorskip("xmltodict")
def test_load_success() -> None:
"""Test that returns the correct answer... | langchain/libs/community/tests/integration_tests/document_loaders/test_pubmed.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_pubmed.py",
"repo_id": "langchain",
"token_count": 575
} | 325 |
from langchain_community.vectorstores.tencentvectordb import (
ConnectionParams,
IndexParams,
TencentVectorDB,
)
__all__ = ["ConnectionParams", "IndexParams", "TencentVectorDB"]
| langchain/libs/langchain/langchain/vectorstores/tencentvectordb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/tencentvectordb.py",
"repo_id": "langchain",
"token_count": 67
} | 607 |
package memberlist_manager
import (
"context"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/apis/meta/v1/unstructured"
"k8s.io/apimachinery/pkg/runtime/schema"
"k8s.io/client-go/dynamic"
)
type IMemberlistStore interface {
GetMemberlist(ctx context.Context) (return_memberlist *Memberli... | chroma/go/coordinator/internal/memberlist_manager/memberlist_store.go/0 | {
"file_path": "chroma/go/coordinator/internal/memberlist_manager/memberlist_store.go",
"repo_id": "chroma",
"token_count": 1045
} | 44 |
interactions:
- request:
body: '{"input": [[8134], [2308], [43673]], "encoding_format": "base64"}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '65'
Content-Type:
- application/json
User-Age... | langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_weaviate/TestWeaviate.test_max_marginal_relevance_search.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_weaviate/TestWeaviate.test_max_marginal_relevance_search.yaml",
"repo_id": "langchain",
"token_count": 38088
} | 348 |
from langchain_core.example_selectors.semantic_similarity import (
MaxMarginalRelevanceExampleSelector,
SemanticSimilarityExampleSelector,
sorted_values,
)
__all__ = [
"sorted_values",
"SemanticSimilarityExampleSelector",
"MaxMarginalRelevanceExampleSelector",
]
| langchain/libs/langchain/langchain/prompts/example_selector/semantic_similarity.py/0 | {
"file_path": "langchain/libs/langchain/langchain/prompts/example_selector/semantic_similarity.py",
"repo_id": "langchain",
"token_count": 100
} | 531 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/imagegpt/configuration_imagegpt.py/0 | {
"file_path": "transformers/src/transformers/models/imagegpt/configuration_imagegpt.py",
"repo_id": "transformers",
"token_count": 3490
} | 630 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/SegmentGrowing.h/0 | {
"file_path": "milvus/internal/core/src/segcore/SegmentGrowing.h",
"repo_id": "milvus",
"token_count": 523
} | 1,747 |
String cron_timezone = 'TZ=Asia/Shanghai'
String cron_string = BRANCH_NAME == "master" ? "05 21 * * * " : ""
int total_timeout_minutes = 90
// pipeline
pipeline {
triggers {
cron """${cron_timezone}
${cron_string}"""
}
options {
timestamps()
timeout(time: total_timeout... | milvus/build/ci/jenkins/Scale.groovy/0 | {
"file_path": "milvus/build/ci/jenkins/Scale.groovy",
"repo_id": "milvus",
"token_count": 2190
} | 1,701 |
import { describe, test } from "@jest/globals";
import { ChatMessage, HumanMessage } from "@langchain/core/messages";
import {
PromptTemplate,
ChatPromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
} from "@langchain/core/prompts";
import { formatToOpenAITool } f... | langchainjs/libs/langchain-community/src/chat_models/tests/chattogetherai.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/tests/chattogetherai.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1724
} | 1,053 |
import { memo, useState } from "react";
import { Message as MessageType } from "../hooks/useChatList";
import { str } from "../utils/str";
import { cn } from "../utils/cn";
import { marked } from "marked";
import DOMPurify from "dompurify";
import { ChevronDownIcon } from "@heroicons/react/24/outline";
import { LangSmi... | opengpts/frontend/src/components/Message.tsx/0 | {
"file_path": "opengpts/frontend/src/components/Message.tsx",
"repo_id": "opengpts",
"token_count": 2932
} | 1,923 |
package typeutil
// IsChanClosed returns whether input signal channel is closed or not.
// this method accept `chan struct{}` type only in case of passing msg channels by mistake.
func IsChanClosed(ch <-chan struct{}) bool {
select {
case <-ch:
return true
default:
return false
}
}
| milvus/pkg/util/typeutil/chan.go/0 | {
"file_path": "milvus/pkg/util/typeutil/chan.go",
"repo_id": "milvus",
"token_count": 87
} | 2,067 |
from langchain_community.vectorstores.deeplake import DeepLake
__all__ = ["DeepLake"]
| langchain/libs/langchain/langchain/vectorstores/deeplake.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/deeplake.py",
"repo_id": "langchain",
"token_count": 27
} | 613 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-s3/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-s3/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,374 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.trello import TrelloReader
def test_class():
names_of_base_classes = [b.__name__ for b in TrelloReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-trello/tests/test_readers_trello.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-trello/tests/test_readers_trello.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,389 |
from pytest import MonkeyPatch
from typing import Any, Dict
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.embeddings.utils import resolve_embed_model
from llama_index.embeddings.huggingface import (
HuggingFaceEmbedding,
)
from llama_index.embeddings.openai import Ope... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/test_openai_utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/test_openai_utils.py",
"repo_id": "llama_index",
"token_count": 682
} | 1,373 |
<jupyter_start><jupyter_text>PipelineThis notebook goes over how to compose multiple prompts together. This can be useful when you want to reuse parts of prompts. This can be done with a PipelinePrompt. A PipelinePrompt consists of two main parts:- Final prompt: The final prompt that is returned- Pipeline prompts: A li... | langchain/docs/docs/modules/model_io/prompts/pipeline.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/pipeline.ipynb",
"repo_id": "langchain",
"token_count": 559
} | 201 |
import unicodedata
from pathlib import Path
from typing import Any, Callable, Dict, List, Literal, Optional, cast
from llama_index.core.node_parser.interface import TextSplitter
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
path = Path(__file__).parent / "Readabilit... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/base.py",
"repo_id": "llama_index",
"token_count": 2154
} | 1,457 |
<jupyter_start><jupyter_text>Wolfram AlphaThis notebook goes over how to use the wolfram alpha component.First, you need to set up your Wolfram Alpha developer account and get your APP ID:1. Go to wolfram alpha and sign up for a developer account [here](https://developer.wolframalpha.com/)2. Create an app and get your ... | langchain/docs/docs/integrations/tools/wolfram_alpha.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/wolfram_alpha.ipynb",
"repo_id": "langchain",
"token_count": 227
} | 179 |
<jupyter_start><jupyter_text>QuestionGenerationThis notebook walks through the process of generating a list of questions that could be asked about your data. This is useful for setting up an evaluation pipeline using the `FaithfulnessEvaluator` and `RelevancyEvaluator` evaluation tools. If you're opening this Notebook ... | llama_index/docs/examples/evaluation/QuestionGeneration.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/QuestionGeneration.ipynb",
"repo_id": "llama_index",
"token_count": 956
} | 1,060 |
from langchain_community.vectorstores.faiss import (
FAISS,
)
__all__ = ["FAISS"]
| langchain/libs/langchain/langchain/vectorstores/faiss.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/faiss.py",
"repo_id": "langchain",
"token_count": 33
} | 605 |
# Copyright 2021 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 required by appl... | accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py/0 | {
"file_path": "accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py",
"repo_id": "accelerate",
"token_count": 7850
} | 7 |
{
"include": [
"src"
],
"compilerOptions": {
"declaration": true,
"module": "ESNext",
"lib": ["ES2017", "DOM"],
"outDir": "dist/main",
"sourceMap": true,
"target": "ES2017",
"strict": true,
"esModuleInterop": true,
"moduleResolution": "Node",
"forceConsistentCasingInFil... | chroma/clients/js/tsconfig.json/0 | {
"file_path": "chroma/clients/js/tsconfig.json",
"repo_id": "chroma",
"token_count": 159
} | 35 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/utils/test_audio_utils.py/0 | {
"file_path": "transformers/tests/utils/test_audio_utils.py",
"repo_id": "transformers",
"token_count": 17519
} | 761 |
import os
from pathlib import Path
from typing import List
import pytest
from llama_index.legacy.schema import NodeRelationship, RelatedNodeInfo, TextNode
from llama_index.legacy.vector_stores import (
DocArrayHnswVectorStore,
DocArrayInMemoryVectorStore,
)
from llama_index.legacy.vector_stores.types import (
... | llama_index/llama-index-legacy/tests/vector_stores/test_docarray.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_docarray.py",
"repo_id": "llama_index",
"token_count": 2067
} | 1,569 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/llama_index/packs/agent_search_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/llama_index/packs/agent_search_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,656 |
# Copyright 2024 Jake Babbidge, TencentARC and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter_inpaint.py/0 | {
"file_path": "diffusers/examples/community/pipeline_stable_diffusion_xl_controlnet_adapter_inpaint.py",
"repo_id": "diffusers",
"token_count": 43130
} | 206 |
[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 = ["honeyhive_callback_handler"]
contains_example = false
import_path = "llama_index.callback... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml",
"repo_id": "llama_index",
"token_count": 657
} | 1,347 |
from langchain_community.document_loaders.googledrive import GoogleDriveLoader
__all__ = ["GoogleDriveLoader"]
| langchain/libs/langchain/langchain/document_loaders/googledrive.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/googledrive.py",
"repo_id": "langchain",
"token_count": 31
} | 506 |
from __future__ import annotations
import logging
from typing import Any, Dict, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import root_validator
from langchain_core.tools import BaseTool
from langchain_core.utils import get_from_dict_or_env
from langchain_... | langchain/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/azure_cognitive_services/image_analysis.py",
"repo_id": "langchain",
"token_count": 2316
} | 296 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team 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 clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/tests/generation/test_tf_utils.py/0 | {
"file_path": "transformers/tests/generation/test_tf_utils.py",
"repo_id": "transformers",
"token_count": 7612
} | 744 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _q4_matmul_cuh
#define _q4_matmul_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#include <ATen/cuda/CUDAContext.h>
#include "q4_matrix.cuh"
#include "../tuning.h"
void q4_matmul_cuda
(
ExL... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matmul.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/q4_matmul.cuh",
"repo_id": "text-generation-inference",
"token_count": 322
} | 437 |
from llama_index.vector_stores.singlestoredb.base import SingleStoreVectorStore
__all__ = ["SingleStoreVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/llama_index/vector_stores/singlestoredb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/llama_index/vector_stores/singlestoredb/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,537 |
---
sidebar_position: 2
---
# Prompts
A prompt for a language model is a set of instructions or input provided by a user to
guide the model's response, helping it understand the context and generate relevant
and coherent language-based output, such as answering questions, completing sentences,
or engaging in a conver... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/index.mdx",
"repo_id": "langchainjs",
"token_count": 230
} | 752 |
"""This module contains all classes used for composing graphs over indices."""
from llama_index.legacy.indices.composability.graph import ComposableGraph
__all__ = ["ComposableGraph"]
| llama_index/llama-index-legacy/llama_index/legacy/indices/composability/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/composability/__init__.py",
"repo_id": "llama_index",
"token_count": 50
} | 1,659 |
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { SemanticSimilarityExampleSelector } from "@langchain/core/example_selectors";
import {
FewShotPromptTemplate,
PromptTemplate,
ChatPromptTemplate,
SystemMessagePromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
im... | langchainjs/examples/src/use_cases/sql/agents/example_selector.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/agents/example_selector.ts",
"repo_id": "langchainjs",
"token_count": 1075
} | 855 |
from langchain_community.embeddings.voyageai import (
VoyageEmbeddings,
)
__all__ = [
"VoyageEmbeddings",
]
| langchain/libs/langchain/langchain/embeddings/voyageai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/voyageai.py",
"repo_id": "langchain",
"token_count": 49
} | 501 |
//! [Unigram](https://arxiv.org/abs/1804.10959) model.
mod lattice;
mod model;
mod serialization;
mod trainer;
mod trie;
pub use lattice::*;
pub use model::*;
pub use trainer::*;
| tokenizers/tokenizers/src/models/unigram/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/mod.rs",
"repo_id": "tokenizers",
"token_count": 72
} | 476 |
from langchain.agents import ConversationalChatAgent, AgentExecutor
from langchain.memory import ConversationBufferMemory
from langchain_community.callbacks import StreamlitCallbackHandler
from langchain_community.chat_message_histories import StreamlitChatMessageHistory
from langchain_community.tools import DuckDuckGo... | streamlit-agent/streamlit_agent/search_and_chat.py/0 | {
"file_path": "streamlit-agent/streamlit_agent/search_and_chat.py",
"repo_id": "streamlit-agent",
"token_count": 984
} | 2,208 |
use anyhow::Result;
use candle_core::{test_device, test_utils, Device, IndexOp, Tensor};
/* This test is based on the following script.
import torch
torch.manual_seed(4242)
t = torch.randn((1, 4, 5))
w = torch.randn((2, 4, 3))
print(t.flatten())
print(w.flatten())
res = torch.nn.functional.conv1d(t, w)
print(res.flat... | candle/candle-core/tests/conv_tests.rs/0 | {
"file_path": "candle/candle-core/tests/conv_tests.rs",
"repo_id": "candle",
"token_count": 14530
} | 38 |
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_community.llms.utils... | langchain/libs/community/langchain_community/llms/octoai_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/octoai_endpoint.py",
"repo_id": "langchain",
"token_count": 2789
} | 290 |
import { describe, it, expect, jest } from "@jest/globals";
import { AxiosResponse } from "axios";
import fetchAdapter from "../axios-fetch-adapter.js";
const mockFetchForOpenAIStream = async ({
chunks,
status,
contentType,
}: {
chunks: Array<string>;
status: number;
contentType: string;
}) => {
// Mock ... | langchainjs/langchain/src/util/tests/openai-stream.test.ts/0 | {
"file_path": "langchainjs/langchain/src/util/tests/openai-stream.test.ts",
"repo_id": "langchainjs",
"token_count": 2273
} | 963 |
import { test } from "@jest/globals";
test("Test chat model", async () => {
// Your integration test here
});
| langchainjs/libs/create-langchain-integration/template/src/tests/integration.int.test.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/template/src/tests/integration.int.test.ts",
"repo_id": "langchainjs",
"token_count": 35
} | 1,010 |
import os
import time
import numpy as np
import onnxruntime as ort
os.environ["ORT_TENSORRT_INT8_ENABLE"] = "1"
os.environ["ORT_TENSORRT_INT8_USE_NATIVE_CALIBRATION_TABLE"] = "0"
os.environ["ORT_TENSORRT_ENGINE_CACHE_ENABLE"] = "1"
sess_opt = ort.SessionOptions()
sess_opt.graph_optimization_level = ort.GraphOptimiz... | transformers/examples/research_projects/quantization-qdqbert/ort-infer-benchmark.py/0 | {
"file_path": "transformers/examples/research_projects/quantization-qdqbert/ort-infer-benchmark.py",
"repo_id": "transformers",
"token_count": 644
} | 595 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/typeutil/skip_list.go/0 | {
"file_path": "milvus/pkg/util/typeutil/skip_list.go",
"repo_id": "milvus",
"token_count": 2308
} | 1,855 |
# AdvProp (EfficientNet)
**AdvProp** is an adversarial training scheme which treats adversarial examples as additional examples, to prevent overfitting. Key to the method is the usage of a separate auxiliary batch norm for adversarial examples, as they have different underlying distributions to normal examples.
The w... | pytorch-image-models/docs/models/advprop.md/0 | {
"file_path": "pytorch-image-models/docs/models/advprop.md",
"repo_id": "pytorch-image-models",
"token_count": 6029
} | 366 |
from llama_index.core.storage.docstore.keyval_docstore import KVDocumentStore
from llama_index.storage.docstore.dynamodb import DynamoDBDocumentStore
def test_class():
names_of_base_classes = [b.__name__ for b in DynamoDBDocumentStore.__mro__]
assert KVDocumentStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/tests/test_storage_docstore_dynamodb.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/tests/test_storage_docstore_dynamodb.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,488 |
"""**Chains** are easily reusable components linked together.
Chains encode a sequence of calls to components like models, document retrievers,
other Chains, etc., and provide a simple interface to this sequence.
The Chain interface makes it easy to create apps that are:
- **Stateful:** add Memory to any Chain t... | langchain/libs/langchain/langchain/chains/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/__init__.py",
"repo_id": "langchain",
"token_count": 2011
} | 455 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/random.py/0 | {
"file_path": "accelerate/src/accelerate/utils/random.py",
"repo_id": "accelerate",
"token_count": 1743
} | 16 |
import logging
from milvus_benchmark import utils
from milvus_benchmark import config
logger = logging.getLogger("milvus_benchmark.env.env")
class BaseEnv(object):
"""docstring for Env"""
def __init__(self, deploy_mode="single"):
self.deploy_mode = deploy_mode
self._name = utils.get_unique_na... | milvus/tests/benchmark/milvus_benchmark/env/base.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/env/base.py",
"repo_id": "milvus",
"token_count": 404
} | 1,934 |
from typing import Any
import pytest
from llama_index.legacy.core.llms.types import ChatMessage
from pytest import MonkeyPatch
try:
import cohere
except ImportError:
cohere = None # type: ignore
from llama_index.legacy.llms.cohere import Cohere
def mock_completion_with_retry(*args: Any, **kwargs: Any) -> d... | llama_index/llama-index-legacy/tests/llms/test_cohere.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llms/test_cohere.py",
"repo_id": "llama_index",
"token_count": 2659
} | 1,745 |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/modeling_flax_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_flax_utils.py",
"repo_id": "transformers",
"token_count": 27441
} | 599 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,542 |
import { z } from "zod";
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { BaseRetrieverInterface } from "@langchain/core/retrievers";
import { interpolateFString, PromptTemplate } from "@langchain/core/prompts";
import { MultiRouteChain, MultiRouteChainInput } from "... | langchainjs/langchain/src/chains/router/multi_retrieval_qa.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/multi_retrieval_qa.ts",
"repo_id": "langchainjs",
"token_count": 2816
} | 894 |
from langchain_community.embeddings.spacy_embeddings import SpacyEmbeddings
__all__ = ["SpacyEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/spacy_embeddings.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/spacy_embeddings.py",
"repo_id": "langchain",
"token_count": 36
} | 504 |
# langchain-ibm
This package contains the LangChain integrations for IBM watsonx.ai through their `ibm-watsonx-ai` SDK.
## Installation and Setup
- Install the LangChain partner package
```bash
pip install langchain-ibm
```
## LLM
See a [usage example](https://python.langchain.com/docs/integrations/llms/watsonxllm... | langchain/libs/partners/ibm/README.md/0 | {
"file_path": "langchain/libs/partners/ibm/README.md",
"repo_id": "langchain",
"token_count": 125
} | 669 |
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