text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// 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/Event.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/Event.cpp",
"repo_id": "milvus",
"token_count": 5985
} | 1,664 |
import { Collection, Document as MongoDBDocument, ObjectId } from "mongodb";
import { BaseListChatMessageHistory } from "@langchain/core/chat_history";
import {
BaseMessage,
mapChatMessagesToStoredMessages,
mapStoredMessagesToChatMessages,
} from "@langchain/core/messages";
export interface MongoDBChatMessageHis... | langchainjs/libs/langchain-community/src/stores/message/mongodb.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/message/mongodb.ts",
"repo_id": "langchainjs",
"token_count": 554
} | 1,036 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/shap_e/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/shap_e/__init__.py",
"repo_id": "diffusers",
"token_count": 939
} | 247 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/llama_index/readers/qdrant/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-qdrant/llama_index/readers/qdrant/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,408 |
// 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/pkg/util/hardware/container_test_linux.go/0 | {
"file_path": "milvus/pkg/util/hardware/container_test_linux.go",
"repo_id": "milvus",
"token_count": 667
} | 1,828 |
# Stream
Dataset streaming lets you work with a dataset without downloading it.
The data is streamed as you iterate over the dataset.
This is especially helpful when:
- You don't want to wait for an extremely large dataset to download.
- The dataset size exceeds the amount of available disk space on your computer.
- ... | datasets/docs/source/stream.mdx/0 | {
"file_path": "datasets/docs/source/stream.mdx",
"repo_id": "datasets",
"token_count": 5324
} | 124 |
import { test } from "@jest/globals";
import { BraveSearch } from "../brave_search.js";
test.skip("BraveSearchTool", async () => {
const tool = new BraveSearch();
const result = await tool.call("What is Langchain?");
console.log({ result });
});
| langchainjs/libs/langchain-community/src/tools/tests/brave_search.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/tests/brave_search.int.test.ts",
"repo_id": "langchainjs",
"token_count": 79
} | 1,008 |
{
"input_variables": ["foo"]
} | langchain/libs/core/tests/unit_tests/prompts/prompt_missing_args.json/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/prompts/prompt_missing_args.json",
"repo_id": "langchain",
"token_count": 14
} | 408 |
include Makefile-flash-att
include Makefile-flash-att-v2
include Makefile-vllm
include Makefile-awq
include Makefile-eetq
include Makefile-selective-scan
unit-tests:
pytest -s -vv -m "not private" tests
gen-server:
# Compile protos
pip install grpcio-tools==1.51.1 mypy-protobuf==3.4.0 'types-protobuf>=3.20.4' --no... | text-generation-inference/server/Makefile/0 | {
"file_path": "text-generation-inference/server/Makefile",
"repo_id": "text-generation-inference",
"token_count": 495
} | 387 |
from typing import List, Union
import numpy as np
from ..utils import (
ExplicitEnum,
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import Pipeline, build_pipeline_init_args
if is_vision_available():
from PIL im... | transformers/src/transformers/pipelines/image_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/image_classification.py",
"repo_id": "transformers",
"token_count": 3392
} | 777 |
import type { D1Database } from "@cloudflare/workers-types";
import { BufferMemory } from "langchain/memory";
import { CloudflareD1MessageHistory } from "@langchain/cloudflare";
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import { RunnableSequence } from "@langchain/core/runn... | langchainjs/examples/src/memory/cloudflare_d1.ts/0 | {
"file_path": "langchainjs/examples/src/memory/cloudflare_d1.ts",
"repo_id": "langchainjs",
"token_count": 864
} | 824 |
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
from langchain_core.retrievers import BaseRetriever
from langchain_core.utils import con... | langchain/libs/community/langchain_community/retrievers/arcee.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/arcee.py",
"repo_id": "langchain",
"token_count": 2022
} | 275 |
export { BaseChain, type ChainInputs } from "./base.js";
export { LLMChain, type LLMChainInput } from "./llm_chain.js";
export {
APIChain,
type APIChainInput,
type APIChainOptions,
} from "./api/api_chain.js";
export { ConversationChain } from "./conversation.js";
export {
SequentialChain,
type SequentialChai... | langchainjs/langchain/src/chains/index.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/index.ts",
"repo_id": "langchainjs",
"token_count": 966
} | 891 |
from llama_index.vector_stores.pinecone.base import PineconeVectorStore
__all__ = ["PineconeVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,533 |
# 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/sam/configuration_sam.py/0 | {
"file_path": "transformers/src/transformers/models/sam/configuration_sam.py",
"repo_id": "transformers",
"token_count": 5408
} | 653 |
# LlamaIndex Llms Integration: Langchain
| llama_index/llama-index-integrations/llms/llama-index-llms-langchain/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,399 |
"""Simple keyword-table based index.
Similar to KeywordTableIndex, but uses a simpler keyword extraction
technique that doesn't involve GPT - just uses regex.
"""
from typing import Any, Set, Union
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.indices.keyword_table.base im... | llama_index/llama-index-legacy/llama_index/legacy/indices/keyword_table/simple_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/keyword_table/simple_base.py",
"repo_id": "llama_index",
"token_count": 492
} | 1,661 |
# Security Policy
## Reporting a Vulnerability
Please report security vulnerabilities by email to `security@langchain.dev`.
This email is an alias to a subset of our maintainers, and will ensure the issue is promptly triaged and acted upon as needed.
| langchain/SECURITY.md/0 | {
"file_path": "langchain/SECURITY.md",
"repo_id": "langchain",
"token_count": 57
} | 73 |
<jupyter_start><jupyter_text>Building a Custom AgentIn this cookbook we show you how to build a custom agent using LlamaIndex.The easiest way to build a custom agent is to simply subclass `CustomSimpleAgentWorker` and implement a few required functions. You have complete flexibility in defining the agent step-wise logi... | llama_index/docs/examples/agent/custom_agent.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/custom_agent.ipynb",
"repo_id": "llama_index",
"token_count": 4355
} | 1,122 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.airbyte_typeform import AirbyteTypeformReader
def test_class():
names_of_base_classes = [b.__name__ for b in AirbyteTypeformReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/tests/test_readers_airbyte_typeform.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/tests/test_readers_airbyte_typeform.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,372 |
import { test } from "@jest/globals";
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { Document } from "@langchain/core/documents";
import {
loadQAMapReduceChain,
loadQARefineChain,
} from "../question_answering/load.js";
import { createStuffDocumentsCha... | langchainjs/langchain/src/chains/tests/combine_docs_chain.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/combine_docs_chain.int.test.ts",
"repo_id": "langchainjs",
"token_count": 616
} | 868 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | diffusers/src/diffusers/pipelines/amused/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/amused/__init__.py",
"repo_id": "diffusers",
"token_count": 796
} | 249 |
from langchain_core.tracers.langchain import (
LangChainTracer,
get_client,
log_error_once,
wait_for_all_tracers,
)
__all__ = ["log_error_once", "wait_for_all_tracers", "get_client", "LangChainTracer"]
| langchain/libs/langchain/langchain/schema/callbacks/tracers/langchain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/tracers/langchain.py",
"repo_id": "langchain",
"token_count": 91
} | 537 |
from pathlib import Path
from langchain_community.document_loaders import DocusaurusLoader
DOCS_URL = str(Path(__file__).parent.parent / "examples/docusaurus-sitemap.xml")
def test_docusarus() -> None:
"""Test sitemap loader."""
loader = DocusaurusLoader(DOCS_URL, is_local=True)
documents = loader.load(... | langchain/libs/community/tests/integration_tests/document_loaders/test_docusaurus.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_docusaurus.py",
"repo_id": "langchain",
"token_count": 515
} | 343 |
from langchain_community.vectorstores.semadb import SemaDB
__all__ = ["SemaDB"]
| langchain/libs/langchain/langchain/vectorstores/semadb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/semadb.py",
"repo_id": "langchain",
"token_count": 28
} | 585 |
/*
* 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... | milvus/pkg/util/requestutil/getter.go/0 | {
"file_path": "milvus/pkg/util/requestutil/getter.go",
"repo_id": "milvus",
"token_count": 1383
} | 2,120 |
import Metal from "@getmetal/metal-sdk";
import { BaseRetriever, BaseRetrieverInput } from "@langchain/core/retrievers";
import { Document } from "@langchain/core/documents";
/**
* Interface for the fields required during the initialization of a
* `MetalRetriever` instance. It extends the `BaseRetrieverInput`
* in... | langchainjs/libs/langchain-community/src/retrievers/metal.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/metal.ts",
"repo_id": "langchainjs",
"token_count": 634
} | 1,066 |
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_similarity_search_with_metadata.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_weaviate/TestWeaviate.test_similarity_search_with_metadata.yaml",
"repo_id": "langchain",
"token_count": 22071
} | 378 |
from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional, Tuple, Type, Union
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore, VectorStoreRetriever
class VespaStore(VectorStore):
""... | langchain/libs/community/langchain_community/vectorstores/vespa.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/vespa.py",
"repo_id": "langchain",
"token_count": 4435
} | 321 |
<jupyter_start><jupyter_text>Wikidata>[Wikidata](https://wikidata.org/) is a free and open knowledge base that can be read and edited by both humans and machines. Wikidata is one of the world's largest open knowledge bases.First, you need to install `wikibase-rest-api-client` and `mediawikiapi` python packages.<jupyter... | langchain/docs/docs/integrations/tools/wikidata.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/wikidata.ipynb",
"repo_id": "langchain",
"token_count": 193
} | 184 |
---
sidebar_custom_props:
description: Interface with language models
sidebar_class_name: hidden
---
# Model I/O
The core element of any language model application is... the model. LangChain gives you the building blocks to interface with any language model.
## [Conceptual G... | langchainjs/docs/core_docs/docs/modules/model_io/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/index.mdx",
"repo_id": "langchainjs",
"token_count": 382
} | 748 |
import itertools
import logging
import sys
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__file__)
if TYPE_CHECKING:
from pyspark.sql import SparkSes... | langchain/libs/community/langchain_community/document_loaders/pyspark_dataframe.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/pyspark_dataframe.py",
"repo_id": "langchain",
"token_count": 1496
} | 266 |
from typing import List
from langchain_core.output_parsers.transform import BaseTransformOutputParser
class StrOutputParser(BaseTransformOutputParser[str]):
"""OutputParser that parses LLMResult into the top likely string."""
@classmethod
def is_lc_serializable(cls) -> bool:
"""Return whether th... | langchain/libs/core/langchain_core/output_parsers/string.py/0 | {
"file_path": "langchain/libs/core/langchain_core/output_parsers/string.py",
"repo_id": "langchain",
"token_count": 275
} | 392 |
import { OpenAIEmbeddings } from "@langchain/openai";
import { loadEvaluator } from "langchain/evaluation";
const embedding = new OpenAIEmbeddings();
const chain = await loadEvaluator("pairwise_embedding_distance", { embedding });
const res = await chain.evaluateStringPairs({
prediction: "Seattle is hot in June",
... | langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_embedding_distance.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/comparision_evaluator/pairwise_embedding_distance.ts",
"repo_id": "langchainjs",
"token_count": 216
} | 774 |
# Astra DB Loader
The Astra DB Loader returns a set of documents retrieved from Astra DB.
The user initializes the loader with an Astra DB index. They then pass in a vector.
## Usage
Here's an example usage of the AstraDBReader.
```python
from openai import OpenAI
from llama_index import download_loader
# Get th... | llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-astra-db/README.md",
"repo_id": "llama_index",
"token_count": 518
} | 1,264 |
import { TEXT_EMBEDDING_MODELS } from "$env/static/private";
import { z } from "zod";
import { sum } from "$lib/utils/sum";
import {
embeddingEndpoints,
embeddingEndpointSchema,
type EmbeddingEndpoint,
} from "$lib/server/embeddingEndpoints/embeddingEndpoints";
import { embeddingEndpointTransformersJS } from "$lib/... | chat-ui/src/lib/server/embeddingModels.ts/0 | {
"file_path": "chat-ui/src/lib/server/embeddingModels.ts",
"repo_id": "chat-ui",
"token_count": 1017
} | 98 |
"""Unit tests to verify function of the Riva TTS implementation."""
from typing import TYPE_CHECKING, Any, AsyncGenerator, Generator, cast
from unittest.mock import patch
import pytest
from langchain_community.utilities.nvidia_riva import RivaAudioEncoding, RivaTTS
if TYPE_CHECKING:
import riva.client
impor... | langchain/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py",
"repo_id": "langchain",
"token_count": 2144
} | 409 |
# rag-multi-modal-mv-local
Visual search is a famililar application to many with iPhones or Android devices. It allows user to serch photos using natural language.
With the release of open source, multi-modal LLMs it's possible to build this kind of application for yourself for your own private photo collection.
... | langchain/templates/rag-multi-modal-mv-local/README.md/0 | {
"file_path": "langchain/templates/rag-multi-modal-mv-local/README.md",
"repo_id": "langchain",
"token_count": 1384
} | 683 |
from langchain_community.llms.huggingface_hub import (
HuggingFaceHub,
)
__all__ = ["HuggingFaceHub"]
| langchain/libs/langchain/langchain/llms/huggingface_hub.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/huggingface_hub.py",
"repo_id": "langchain",
"token_count": 41
} | 516 |
.venv
.github
.git
.mypy_cache
.pytest_cache
Dockerfile | langchain/libs/langchain/.dockerignore/0 | {
"file_path": "langchain/libs/langchain/.dockerignore",
"repo_id": "langchain",
"token_count": 25
} | 456 |
[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 = ["AmazonProductExtractionPack"]
contains_example = false
import_path = "llama_index.packs.a... | llama_index/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml",
"repo_id": "llama_index",
"token_count": 685
} | 1,659 |
<jupyter_start><jupyter_text>Tree of Thought (ToT) exampleThe Tree of Thought (ToT) is a chain that allows you to query a Large Language Model (LLM) using the Tree of Thought technique. This is based on the paper ["Large Language Model Guided Tree-of-Thought"](https://arxiv.org/pdf/2305.08291.pdf)<jupyter_code>from lan... | langchain/cookbook/tree_of_thought.ipynb/0 | {
"file_path": "langchain/cookbook/tree_of_thought.ipynb",
"repo_id": "langchain",
"token_count": 1340
} | 81 |
@@@@body@struct_name
void
@@struct_name@@::accept(@@root_base@@Visitor& visitor) {
visitor.visit(*this);
}
####
@@@@main
// Generated File
// DO NOT EDIT
#include "query/@@root_base@@.h"
#include "@@root_base@@Visitor.h"
namespace @@namespace@@ {
@@body@@
} // namespace @@namespace@@
#### | milvus/tools/core_gen/templates/node_def.cpp/0 | {
"file_path": "milvus/tools/core_gen/templates/node_def.cpp",
"repo_id": "milvus",
"token_count": 111
} | 2,015 |
# GraphQL Loader
This loader loads documents via GraphQL queries from a GraphQL endpoint.
The user specifies a GraphQL endpoint URL with optional credentials to initialize the reader.
By declaring the GraphQL query and optional variables (parameters) the loader can fetch the nested result docs.
## Usage
Here's an ex... | llama_index/llama-index-integrations/readers/llama-index-readers-graphql/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphql/README.md",
"repo_id": "llama_index",
"token_count": 387
} | 1,373 |
import sys
import subprocess
import contextlib
import pytest
import asyncio
import os
import docker
import json
import math
import time
import random
from docker.errors import NotFound
from typing import Optional, List, Dict
from syrupy.extensions.json import JSONSnapshotExtension
from aiohttp import ClientConnectorEr... | text-generation-inference/integration-tests/conftest.py/0 | {
"file_path": "text-generation-inference/integration-tests/conftest.py",
"repo_id": "text-generation-inference",
"token_count": 6395
} | 421 |
import json
import logging
from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Tuple,
)
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.schema import (
ChatGeneration,
ChatResult,
)
from langchain_core.language_models import BaseChatModel
from langch... | langchain/libs/experimental/langchain_experimental/llms/llamaapi.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/llms/llamaapi.py",
"repo_id": "langchain",
"token_count": 1757
} | 420 |
# coding=utf-8
# Copyright 2020 The Facebook AI Research Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | transformers/src/transformers/models/bart/tokenization_bart_fast.py/0 | {
"file_path": "transformers/src/transformers/models/bart/tokenization_bart_fast.py",
"repo_id": "transformers",
"token_count": 5760
} | 606 |
from __future__ import annotations
import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.load.serializable import ... | langchain/libs/community/langchain_community/llms/yandex.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/yandex.py",
"repo_id": "langchain",
"token_count": 4833
} | 270 |
import asyncio
import logging
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Sequence, Union
from huggingface_hub import (
AsyncInferenceClient,
InferenceClient,
model_info,
)
from huggingface_hub.hf_api import ModelInfo
from llama_index.core.base.embeddings.base import (
DEFAUL... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py",
"repo_id": "llama_index",
"token_count": 6460
} | 1,364 |
from llama_index.packs.node_parser_semantic_chunking.base import (
SemanticChunkingQueryEnginePack,
)
__all__ = ["SemanticChunkingQueryEnginePack"]
| llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/llama_index/packs/node_parser_semantic_chunking/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/llama_index/packs/node_parser_semantic_chunking/__init__.py",
"repo_id": "llama_index",
"token_count": 54
} | 1,598 |
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
... | diffusers/examples/community/speech_to_image_diffusion.py/0 | {
"file_path": "diffusers/examples/community/speech_to_image_diffusion.py",
"repo_id": "diffusers",
"token_count": 5146
} | 190 |
from llama_index.core.storage.kvstore.types import BaseKVStore
from llama_index.storage.kvstore.redis import RedisKVStore
def test_class():
names_of_base_classes = [b.__name__ for b in RedisKVStore.__mro__]
assert BaseKVStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/tests/test_storage_kvstore_redis.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/tests/test_storage_kvstore_redis.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,502 |
// 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/query/SearchOnIndex.cpp/0 | {
"file_path": "milvus/internal/core/src/query/SearchOnIndex.cpp",
"repo_id": "milvus",
"token_count": 631
} | 1,878 |
package writebuffer
import (
"fmt"
"math/rand"
"testing"
"time"
"github.com/samber/lo"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus-proto/go-api/... | milvus/internal/datanode/writebuffer/bf_write_buffer_test.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/bf_write_buffer_test.go",
"repo_id": "milvus",
"token_count": 8254
} | 1,710 |
---
sidebar_position: 1
sidebar_class_name: hidden
---
# Chat models
<!-- This file is autogenerated. Do not edit directly. -->
<!-- See `scripts/model-docs.table.js` for details -->
## Features (natively supported)
All ChatModels implement the Runnable interface, which comes with default implementations of all met... | langchainjs/docs/core_docs/docs/integrations/chat/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/index.mdx",
"repo_id": "langchainjs",
"token_count": 835
} | 728 |
# coding=utf-8
# Copyright 2021-2023 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 ... | transformers/tests/models/encodec/test_feature_extraction_encodec.py/0 | {
"file_path": "transformers/tests/models/encodec/test_feature_extraction_encodec.py",
"repo_id": "transformers",
"token_count": 4914
} | 732 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle YOLOv8 Rust/WASM</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
... | candle/candle-wasm-examples/yolo/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/yolo/lib-example.html",
"repo_id": "candle",
"token_count": 9649
} | 80 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/repo_utils/test_check_docstrings.py/0 | {
"file_path": "transformers/tests/repo_utils/test_check_docstrings.py",
"repo_id": "transformers",
"token_count": 1935
} | 764 |
# coding=utf-8
# Copyright 2022 School of EIC, Huazhong University of Science & Technology 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/yolos/modeling_yolos.py/0 | {
"file_path": "transformers/src/transformers/models/yolos/modeling_yolos.py",
"repo_id": "transformers",
"token_count": 24118
} | 759 |
"""Typesense Vector store index.
An index that is built on top of an existing vector store.
"""
import logging
from typing import Any, Callable, List, Optional, cast
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.utils import get_tokenizer
from llama_index.core.vector_sto... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/llama_index/vector_stores/typesense/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/llama_index/vector_stores/typesense/base.py",
"repo_id": "llama_index",
"token_count": 4048
} | 1,573 |
export {
type RunnableFunc,
type RunnableLike,
type RunnableBatchOptions,
type RunnableRetryFailedAttemptHandler,
Runnable,
type RunnableInterface,
type RunnableBindingArgs,
RunnableBinding,
RunnableEach,
RunnableRetry,
RunnableSequence,
RunnableMap,
RunnableParallel,
RunnableLambda,
Runna... | langchainjs/langchain/src/schema/runnable/base.ts/0 | {
"file_path": "langchainjs/langchain/src/schema/runnable/base.ts",
"repo_id": "langchainjs",
"token_count": 155
} | 922 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc.and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/maskformer/configuration_maskformer.py/0 | {
"file_path": "transformers/src/transformers/models/maskformer/configuration_maskformer.py",
"repo_id": "transformers",
"token_count": 4190
} | 655 |
from __future__ import annotations
import uuid
import warnings
from typing import Any, Dict, Iterable, List, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_dict_or_env
from langchain_core.vecto... | langchain/libs/community/langchain_community/vectorstores/opensearch_vector_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/opensearch_vector_search.py",
"repo_id": "langchain",
"token_count": 14782
} | 317 |
# LlamaIndex Vector_Stores Integration: Pgvecto Rs
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/README.md",
"repo_id": "llama_index",
"token_count": 17
} | 1,471 |
// JS backend not used by default, see README for instructions.
import { NextRequest, NextResponse } from "next/server";
import type { BaseLanguageModel } from "@langchain/core/language_models/base";
import type { Document } from "@langchain/core/documents";
import {
RunnableSequence,
RunnableMap,
RunnableBran... | weblangchain/nextjs/app/api/chat/stream_log/route.ts/0 | {
"file_path": "weblangchain/nextjs/app/api/chat/stream_log/route.ts",
"repo_id": "weblangchain",
"token_count": 2983
} | 2,211 |
# Confluence
>[Confluence](https://www.atlassian.com/software/confluence) is a wiki collaboration platform that saves and organizes all of the project-related material. `Confluence` is a knowledge base that primarily handles content management activities.
## Installation and Setup
```bash
pip install atlassian-pyt... | langchain/docs/docs/integrations/providers/confluence.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/confluence.mdx",
"repo_id": "langchain",
"token_count": 198
} | 141 |
from uuid import UUID
import pytest
from langchain_community.llms import FakeListLLM
from langchain_core.tools import Tool
from langchain.agents import (
AgentExecutor,
AgentExecutorIterator,
AgentType,
initialize_agent,
)
from langchain.schema import RUN_KEY
from tests.unit_tests.agents.test_agent im... | langchain/libs/langchain/tests/unit_tests/agents/test_agent_iterator.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/test_agent_iterator.py",
"repo_id": "langchain",
"token_count": 4358
} | 595 |
# 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/examples/int8_training/fine_tune_blip2_int8.py/0 | {
"file_path": "peft/examples/int8_training/fine_tune_blip2_int8.py",
"repo_id": "peft",
"token_count": 1286
} | 312 |
# coding=utf-8
# Copyright 2023 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/pix2struct/processing_pix2struct.py/0 | {
"file_path": "transformers/src/transformers/models/pix2struct/processing_pix2struct.py",
"repo_id": "transformers",
"token_count": 2993
} | 680 |
/* eslint-disable import/first */
import { z } from "zod";
import { DynamicStructuredTool } from "@langchain/core/tools";
const complexTool = new DynamicStructuredTool({
name: "complex_tool",
description: "Do something complex with a complex tool.",
schema: z.object({
intArg: z.number(),
floatArg: z.numb... | langchainjs/examples/src/use_cases/tool_use/tool_error_handling_intro.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/tool_use/tool_error_handling_intro.ts",
"repo_id": "langchainjs",
"token_count": 470
} | 870 |
# LlamaIndex Multi Modal Llms Integration: Ollama
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/README.md",
"repo_id": "llama_index",
"token_count": 15
} | 1,248 |
from langchain_community.tools.slack.get_channel import SlackGetChannel
__all__ = ["SlackGetChannel"]
| langchain/libs/langchain/langchain/tools/slack/get_channel.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/slack/get_channel.py",
"repo_id": "langchain",
"token_count": 31
} | 568 |
"""Loader that loads data from Sharepoint Document Library"""
from __future__ import annotations
from typing import Iterator, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field
from langchain_community.document_loaders.base_o365 import (
O365BaseLo... | langchain/libs/community/langchain_community/document_loaders/sharepoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/sharepoint.py",
"repo_id": "langchain",
"token_count": 894
} | 248 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "llms/writer",
});
export * from "@langchain/community/llms/writer";
| langchainjs/langchain/src/llms/writer.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/writer.ts",
"repo_id": "langchainjs",
"token_count": 70
} | 996 |
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { FaissStore } from "../faiss.js";
test("Test FaissStore.fromTexts + addVectors", async () => {
const vectorStore = await FaissStore.fromTexts(
... | langchainjs/libs/langchain-community/src/vectorstores/tests/faiss.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/faiss.test.ts",
"repo_id": "langchainjs",
"token_count": 3793
} | 998 |
insert_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_7/sub_50m_512_512_sub_wal
cache_config.cpu_cache_capacity: 8
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
... | milvus/tests/benchmark/milvus_benchmark/suites/insert_binary.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/insert_binary.yaml",
"repo_id": "milvus",
"token_count": 602
} | 1,944 |
<jupyter_start><jupyter_text>Qdrant Reader<jupyter_code>%pip install llama-index-readers-qdrant
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))<jupyter_output><empty_output><jupyter_text>If you're opening this... | llama_index/docs/examples/data_connectors/QdrantDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/QdrantDemo.ipynb",
"repo_id": "llama_index",
"token_count": 450
} | 1,075 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py",
"repo_id": "diffusers",
"token_count": 37895
} | 237 |
- name: indexcoord
docker_container:
name: indexcoord
image: "{{image}}"
command: ["milvus", "run", "indexcoord"]
env:
ETCD_ENDPOINTS: "{{ETCD_ENDPOINTS}}"
MINIO_ADDRESS: "{{MINIO_ADDRESS}}"
PULSAR_ADDRESS: "{{PULSAR_ADDRESS}}"
INDEX_COORD_ADDRESS: "{{INDEX_COORD_ADDRESS}}"
... | milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-indexcoord/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/deploy-indexcoord/tasks/main.yml",
"repo_id": "milvus",
"token_count": 204
} | 1,637 |
import asyncio
import json
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.indices.struct_store.sql_retriever import (
BaseSQLParse... | llama_index/llama-index-legacy/llama_index/legacy/query_engine/jsonalyze_query_engine.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/query_engine/jsonalyze_query_engine.py",
"repo_id": "llama_index",
"token_count": 5455
} | 1,512 |
from llama_index.llms.azure_openai.base import (
AzureOpenAI,
SyncAzureOpenAI,
AsyncAzureOpenAI,
)
__all__ = ["AzureOpenAI", "SyncAzureOpenAI", "AsyncAzureOpenAI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/__init__.py",
"repo_id": "llama_index",
"token_count": 76
} | 1,302 |
from collections import defaultdict
from functools import partial
from inspect import signature
from typing import Any, Optional, Sequence, Type
from langchain_core.runnables import RunnableLambda, RunnablePassthrough
from langchain_core.runnables.base import RunnableLike
from langgraph.channels.base import BaseChann... | langgraph/langgraph/graph/state.py/0 | {
"file_path": "langgraph/langgraph/graph/state.py",
"repo_id": "langgraph",
"token_count": 2772
} | 1,076 |
import * as url from "node:url";
import * as path from "node:path";
import { test, expect } from "@jest/globals";
import { SRTLoader } from "../fs/srt.js";
test("Test SRT loader from file", async () => {
const filePath = path.resolve(
path.dirname(url.fileURLToPath(import.meta.url)),
"./example_data/Star_War... | langchainjs/langchain/src/document_loaders/tests/srt.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/srt.test.ts",
"repo_id": "langchainjs",
"token_count": 248
} | 946 |
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def _check_json_dataset(dataset, expected... | datasets/tests/io/test_json.py/0 | {
"file_path": "datasets/tests/io/test_json.py",
"repo_id": "datasets",
"token_count": 4977
} | 146 |
[
{
"deploy_mode": "cluster",
"suite_params": [
{
"suite": "2_cpu_ann_accuracy.yaml",
"image_type": "cpu"
}
]
},
{
"suite_params": [
{
"suite": "2_cpu_ann_accuracy.yaml",
"imag... | milvus/tests/benchmark/milvus_benchmark/scheduler/debug.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/debug.json",
"repo_id": "milvus",
"token_count": 255
} | 1,963 |
import json
import os
import shutil
import sys
import tempfile
import unittest
from unittest import TestCase
from unittest.mock import patch
import faiss
import numpy as np
from datasets import Dataset
from transformers import BartConfig, BartTokenizer, DPRConfig, DPRQuestionEncoderTokenizer, RagConfig
from transform... | transformers/examples/research_projects/rag/test_distributed_retriever.py/0 | {
"file_path": "transformers/examples/research_projects/rag/test_distributed_retriever.py",
"repo_id": "transformers",
"token_count": 6637
} | 599 |
<!--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/TRANSLATING.md/0 | {
"file_path": "diffusers/docs/TRANSLATING.md",
"repo_id": "diffusers",
"token_count": 1100
} | 180 |
from torch import nn
class ClassificationHead(nn.Module):
"""Classification Head for transformer encoders"""
def __init__(self, class_size, embed_size):
super().__init__()
self.class_size = class_size
self.embed_size = embed_size
# self.mlp1 = nn.Linear(embed_size, embed_size... | transformers/examples/research_projects/pplm/pplm_classification_head.py/0 | {
"file_path": "transformers/examples/research_projects/pplm/pplm_classification_head.py",
"repo_id": "transformers",
"token_count": 281
} | 583 |
from langchain_community.document_loaders.modern_treasury import ModernTreasuryLoader
def test_modern_treasury_loader() -> None:
"""Test Modern Treasury file loader."""
modern_treasury_loader = ModernTreasuryLoader("payment_orders")
documents = modern_treasury_loader.load()
assert len(documents) == 1... | langchain/libs/community/tests/integration_tests/document_loaders/test_modern_treasury.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_modern_treasury.py",
"repo_id": "langchain",
"token_count": 95
} | 325 |
# coding=utf-8
# 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 requir... | transformers/tests/models/ibert/test_modeling_ibert.py/0 | {
"file_path": "transformers/tests/models/ibert/test_modeling_ibert.py",
"repo_id": "transformers",
"token_count": 14932
} | 766 |
<jupyter_start><jupyter_text>DingoDB>[DingoDB](https://dingodb.readthedocs.io/en/latest/) is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases, and can store data of any type and size (Key-Value, PDF, audio, video, etc.). It has real-time low-latency process... | langchain/docs/docs/integrations/vectorstores/dingo.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/dingo.ipynb",
"repo_id": "langchain",
"token_count": 1161
} | 187 |
<jupyter_start><jupyter_text>scikit-learn>[scikit-learn](https://scikit-learn.org/stable/) is an open-source collection of machine learning algorithms, including some implementations of the [k nearest neighbors](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html). `SKLearnVectorSt... | langchain/docs/docs/integrations/vectorstores/sklearn.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/sklearn.ipynb",
"repo_id": "langchain",
"token_count": 1214
} | 184 |
"""Constitutional principles from https://arxiv.org/pdf/2212.08073.pdf (Bai et al. 2022)
UnifiedObjectives v0.2 principles ("uo-*") adapted from https://examine.dev/docs/Unified_objectives.pdf (Samwald et al. 2023)
"""
# flake8: noqa
from typing import Dict
from langchain.chains.constitutional_ai.models import Constit... | langchain/libs/langchain/langchain/chains/constitutional_ai/principles.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/constitutional_ai/principles.py",
"repo_id": "langchain",
"token_count": 5906
} | 456 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.zep import ZepVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in ZepVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/tests/test_vector_stores_zep.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/tests/test_vector_stores_zep.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,549 |
<!--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/it/perf_infer_gpu_many.md/0 | {
"file_path": "transformers/docs/source/it/perf_infer_gpu_many.md",
"repo_id": "transformers",
"token_count": 420
} | 508 |
# Q-Learning Recap [[q-learning-recap]]
*Q-Learning* **is the RL algorithm that** :
- Trains a *Q-function*, an **action-value function** encoded, in internal memory, by a *Q-table* **containing all the state-action pair values.**
- Given a state and action, our Q-function **will search its Q-table for the correspo... | deep-rl-class/units/en/unit2/q-learning-recap.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/q-learning-recap.mdx",
"repo_id": "deep-rl-class",
"token_count": 505
} | 168 |
locust_search_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/cluster/sift_1m_128_l2_2
suffix_path: true
cache_config.cpu_cache_capacity: 8GB
cache_config.insert_buffer_size: 2GB
engine_config.use_blas_threshold: 1100
engin... | milvus/tests/benchmark/milvus_benchmark/suites/locust_cluster_search.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/locust_cluster_search.yaml",
"repo_id": "milvus",
"token_count": 730
} | 1,874 |
---
sidebar_label: Google AI
keywords: [gemini, gemini-pro, ChatGoogleGenerativeAI]
---
import CodeBlock from "@theme/CodeBlock";
# ChatGoogleGenerativeAI
You can access Google's `gemini` and `gemini-vision` models, as well as other
generative models in LangChain through `ChatGoogleGenerativeAI` class in the
`@langc... | langchainjs/docs/core_docs/docs/integrations/chat/google_generativeai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/google_generativeai.mdx",
"repo_id": "langchainjs",
"token_count": 597
} | 698 |
# Copyright 2024 The HuggingFace Team, the AllenNLP library authors. 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/utils/stale.py/0 | {
"file_path": "diffusers/utils/stale.py",
"repo_id": "diffusers",
"token_count": 1221
} | 302 |
<!--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/dit.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/dit.md",
"repo_id": "diffusers",
"token_count": 532
} | 183 |
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