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# coding=utf-8
# Copyright 2024 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... | diffusers/examples/text_to_image/train_text_to_image_lora.py/0 | {
"file_path": "diffusers/examples/text_to_image/train_text_to_image_lora.py",
"repo_id": "diffusers",
"token_count": 18135
} | 222 |
from typing import Any, List, Literal
from langchain_core.messages.base import (
BaseMessage,
BaseMessageChunk,
merge_content,
)
class AIMessage(BaseMessage):
"""Message from an AI."""
example: bool = False
"""Whether this Message is being passed in to the model as part of an example
... | langchain/libs/core/langchain_core/messages/ai.py/0 | {
"file_path": "langchain/libs/core/langchain_core/messages/ai.py",
"repo_id": "langchain",
"token_count": 719
} | 432 |
# LlamaIndex Readers Integration: Arango Db
This loader loads documents from ArangoDB. The user specifies a ArangoDB instance to
initialize the reader. They then specify the collection name and query params to
fetch the relevant docs.
## Usage
Here's an example usage of the SimpleArangoDBReader.
```python
from llam... | llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-arango-db/README.md",
"repo_id": "llama_index",
"token_count": 382
} | 1,337 |
# VectorDB Tool
This tool wraps a VectorStoreIndex and enables a agent to call it with queries and filters to retrieve data.
## Usage
```python
from llama_index.tools.vector_db import VectorDB
from llama_index.agent import OpenAIAgent
from llama_index.vector_stores.types import VectorStoreInfo
from llama_index impor... | llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/README.md",
"repo_id": "llama_index",
"token_count": 754
} | 1,504 |
ARG INCLUDE_DB=false
FROM mongo:latest as mongo
FROM node:20-slim as local_db_false
FROM node:20-slim as local_db_true
RUN apt-get update
RUN apt-get install gnupg curl -y
COPY --from=mongo /usr/bin/mongo* /usr/bin/
FROM local_db_${INCLUDE_DB} as final
ARG INCLUDE_DB=false
ENV INCLUDE_DB=${INCLUDE_DB}
WORKDIR /ap... | chat-ui/Dockerfile.local/0 | {
"file_path": "chat-ui/Dockerfile.local",
"repo_id": "chat-ui",
"token_count": 278
} | 91 |
# KDB.AI
>[KDB.AI](https://kdb.ai) is a powerful knowledge-based vector database and search engine that allows you to build scalable, reliable AI applications, using real-time data, by providing advanced search, recommendation and personalization.
## Installation and Setup
Install the Python SDK:
```bash
pip insta... | langchain/docs/docs/integrations/providers/kdbai.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/kdbai.mdx",
"repo_id": "langchain",
"token_count": 182
} | 140 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.graphql import GraphQLReader
def test_class():
names_of_base_classes = [b.__name__ for b in GraphQLReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-graphql/tests/test_readers_graphql.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphql/tests/test_readers_graphql.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,362 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-mbox/llama_index/readers/mbox/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mbox/llama_index/readers/mbox/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,520 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. We will also use the `seqeval` library to compute some evaluation metrics. Uncomment the following cell and run it.<jupyter_code>#! pip install transformers
#! pip install datasets
#... | notebooks/examples/token_classification-tf.ipynb/0 | {
"file_path": "notebooks/examples/token_classification-tf.ipynb",
"repo_id": "notebooks",
"token_count": 9592
} | 314 |
from langchain_community.agent_toolkits.office365.toolkit import O365Toolkit
__all__ = ["O365Toolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/office365/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/office365/toolkit.py",
"repo_id": "langchain",
"token_count": 35
} | 440 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/llama_index/tools/vector_db/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/llama_index/tools/vector_db/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,460 |
"""Init file."""
from llama_index.core.query_pipeline.components.agent import (
AgentFnComponent,
AgentInputComponent,
CustomAgentComponent,
QueryComponent,
)
from llama_index.core.query_pipeline.components.argpacks import ArgPackComponent
from llama_index.core.query_pipeline.components.function import... | llama_index/llama-index-core/llama_index/core/query_pipeline/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_pipeline/__init__.py",
"repo_id": "llama_index",
"token_count": 415
} | 1,137 |
# 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/models/upsampling.py/0 | {
"file_path": "diffusers/src/diffusers/models/upsampling.py",
"repo_id": "diffusers",
"token_count": 7818
} | 235 |
"""Chain that does self-ask with search."""
from typing import Any, Sequence, Union
from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper
from langchain_community.utilities.searchapi import SearchApiAPIWrapper
from langchain_community.utilities.serpapi import SerpAPIWrapper
from langchain_core... | langchain/libs/langchain/langchain/agents/self_ask_with_search/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/self_ask_with_search/base.py",
"repo_id": "langchain",
"token_count": 3096
} | 446 |
FROM python:3.9
# Set the working directory to /app
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . .
# Install any needed packages specified in requirements.txt
RUN pip install poetry && poetry config virtualenvs.create false && poetry install --with test,lint,typing,dev
RUN po... | langgraph/Dockerfile/0 | {
"file_path": "langgraph/Dockerfile",
"repo_id": "langgraph",
"token_count": 92
} | 1,072 |
{
"openapi": "3.0.0",
"x-optic-url": "https://app.useoptic.com/organizations/febf8ac6-ee67-4565-b45a-5c85a469dca7/apis/_0fKWqUvhs9ssYNkq1k-c",
"x-optic-standard": "@febf8ac6-ee67-4565-b45a-5c85a469dca7/Fz6KU3_wMIO5iJ6_VUZ30",
"info": {
"version": "2.2.0",
"title": "APIs.guru",
"description... | langchain/libs/community/tests/unit_tests/examples/test_specs/apis-guru/apispec.json/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/examples/test_specs/apis-guru/apispec.json",
"repo_id": "langchain",
"token_count": 9471
} | 382 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package dist
import (
context "context"
mock "github.com/stretchr/testify/mock"
)
// MockController is an autogenerated mock type for the Controller type
type MockController struct {
mock.Mock
}
type MockController_Expecter struct {
mock *mock.Mock
}
func (_m... | milvus/internal/querycoordv2/dist/mock_controller.go/0 | {
"file_path": "milvus/internal/querycoordv2/dist/mock_controller.go",
"repo_id": "milvus",
"token_count": 1699
} | 2,029 |
// 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/querynodev2/delegator/distribution_test.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/distribution_test.go",
"repo_id": "milvus",
"token_count": 7252
} | 1,764 |
import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
| langchain/libs/partners/google-genai/tests/integration_tests/test_compile.py/0 | {
"file_path": "langchain/libs/partners/google-genai/tests/integration_tests/test_compile.py",
"repo_id": "langchain",
"token_count": 46
} | 684 |
from typing import TYPE_CHECKING, Any, Callable, Dict, Optional
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
if TYPE_CHECKING:
from langchain_community.document_loaders import ApifyDatasetLoader... | langchain/libs/community/langchain_community/utilities/apify.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/apify.py",
"repo_id": "langchain",
"token_count": 3656
} | 303 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/audio_spectrogram_transformer/test_feature_extraction_audio_spectrogram_transformer.py/0 | {
"file_path": "transformers/tests/models/audio_spectrogram_transformer/test_feature_extraction_audio_spectrogram_transformer.py",
"repo_id": "transformers",
"token_count": 3869
} | 782 |
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Pinecone
all_documents = {
"doc1": "Climate change and economic impact.",
"doc2": "Public health concerns due to climate change.",
"doc3": "Climate change: A social perspective.",
"doc4": "Technolog... | langchain/templates/rag-fusion/ingest.py/0 | {
"file_path": "langchain/templates/rag-fusion/ingest.py",
"repo_id": "langchain",
"token_count": 247
} | 689 |
<!--
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 agree... | transformers/docs/source/ja/add_new_model.md/0 | {
"file_path": "transformers/docs/source/ja/add_new_model.md",
"repo_id": "transformers",
"token_count": 28026
} | 510 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/query_pipeline/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/query_pipeline/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,677 |
# Quickstart
This quickstart is intended for developers who are ready to dive into the code and see an example of how to integrate `timm` into their model training workflow.
First, you'll need to install `timm`. For more information on installation, see [Installation](installation).
```bash
pip install timm
```
## ... | pytorch-image-models/hfdocs/source/quickstart.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/quickstart.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2583
} | 378 |
"""Test MyScale functionality."""
from langchain_core.documents import Document
from langchain_community.vectorstores import MyScale, MyScaleSettings
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
def test_myscale() -> None:
"""Test end to end construction and search."""
text... | langchain/libs/community/tests/integration_tests/vectorstores/test_myscale.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_myscale.py",
"repo_id": "langchain",
"token_count": 1498
} | 377 |
# Activeloop Deep Lake
This page covers how to use the Deep Lake ecosystem within LangChain.
## Why Deep Lake?
- More than just a (multi-modal) vector store. You can later use the dataset to fine-tune your own LLM models.
- Not only stores embeddings, but also the original data with automatic version control.
- Truly ... | langchain/docs/docs/integrations/providers/activeloop_deeplake.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/activeloop_deeplake.mdx",
"repo_id": "langchain",
"token_count": 553
} | 127 |
package conc
import "golang.org/x/sync/singleflight"
// Singleflight wraps golang.org/x/sync/singleflight.Group into generic one.
type Singleflight[T any] struct {
internal singleflight.Group
}
// SingleflightResult is a generic Result wrapper for DoChan.
type SingleflightResult[T any] struct {
Val T
Err er... | milvus/pkg/util/conc/singleflight.go/0 | {
"file_path": "milvus/pkg/util/conc/singleflight.go",
"repo_id": "milvus",
"token_count": 371
} | 1,906 |
import sys
from pathlib import Path
from typing import Optional
from langchain_core.pydantic_v1 import BaseModel
def is_relative_to(path: Path, root: Path) -> bool:
"""Check if path is relative to root."""
if sys.version_info >= (3, 9):
# No need for a try/except block in Python 3.8+.
return ... | langchain/libs/community/langchain_community/tools/file_management/utils.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/file_management/utils.py",
"repo_id": "langchain",
"token_count": 608
} | 286 |
<!--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/zh/model_sharing.md/0 | {
"file_path": "transformers/docs/source/zh/model_sharing.md",
"repo_id": "transformers",
"token_count": 5352
} | 534 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/zh/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 7107
} | 511 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feedly-rss/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,363 |
"""Multion tool spec."""
import base64
from io import BytesIO
from typing import Optional
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class MultionToolSpec(BaseToolSpec):
"""Multion tool spec."""
spec_functions = ["browse"]
def __init__(self, token_file: Optional[str] = "multion_tok... | llama_index/llama-index-integrations/tools/llama-index-tools-multion/llama_index/tools/multion/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-multion/llama_index/tools/multion/base.py",
"repo_id": "llama_index",
"token_count": 759
} | 1,573 |
# Use with Spark
This document is a quick introduction to using 🤗 Datasets with Spark, with a particular focus on how to load a Spark DataFrame into a [`Dataset`] object.
From there, you have fast access to any element and you can use it as a data loader to train models.
## Load from Spark
A [`Dataset`] object is ... | datasets/docs/source/use_with_spark.mdx/0 | {
"file_path": "datasets/docs/source/use_with_spark.mdx",
"repo_id": "datasets",
"token_count": 962
} | 125 |
use crate::model::{report_detect, report_pose, Bbox, Multiples, YoloV8, YoloV8Pose};
use candle::{DType, Device, Result, Tensor};
use candle_nn::{Module, VarBuilder};
use serde::{Deserialize, Serialize};
use wasm_bindgen::prelude::*;
use yew_agent::{HandlerId, Public, WorkerLink};
#[wasm_bindgen]
extern "C" {
// U... | candle/candle-wasm-examples/yolo/src/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/yolo/src/worker.rs",
"repo_id": "candle",
"token_count": 4077
} | 81 |
import hashlib
import re
import shutil
from pathlib import Path
from typing import Dict, List, Optional, Sequence, TypedDict
from git import Repo
from langchain_cli.constants import (
DEFAULT_GIT_REF,
DEFAULT_GIT_REPO,
DEFAULT_GIT_SUBDIRECTORY,
)
class DependencySource(TypedDict):
git: str
ref: ... | langchain/libs/cli/langchain_cli/utils/git.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/utils/git.py",
"repo_id": "langchain",
"token_count": 2839
} | 224 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/typeorm",
});
export * from "@langchain/community/vectorstores/typeorm";
| langchainjs/langchain/src/vectorstores/typeorm.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/typeorm.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 1,006 |
from llama_index.readers.milvus.base import MilvusReader
__all__ = ["MilvusReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-milvus/llama_index/readers/milvus/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-milvus/llama_index/readers/milvus/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,401 |
"""Test conversation chain and memory."""
from langchain_community.llms.fake import FakeListLLM
from langchain_core.documents import Document
from langchain.chains.conversational_retrieval.base import (
ConversationalRetrievalChain,
)
from langchain.memory.buffer import ConversationBufferMemory
from tests.unit_tes... | langchain/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py",
"repo_id": "langchain",
"token_count": 1400
} | 599 |
"""
GitHub repository issues reader.
Retrieves the list of issues of a GitHub repository and converts them to documents.
Each issue is converted to a document by doing the following:
- The text of the document is the concatenation of the title and the body of the issue.
- The title of the document is the tit... | llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/issues/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/issues/base.py",
"repo_id": "llama_index",
"token_count": 3393
} | 1,304 |
# coding=utf-8
# Copyright 2018 Microsoft Authors and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | transformers/tests/models/deberta_v2/test_modeling_deberta_v2.py/0 | {
"file_path": "transformers/tests/models/deberta_v2/test_modeling_deberta_v2.py",
"repo_id": "transformers",
"token_count": 5861
} | 741 |
import unittest
from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
from ..test_modeling_common_flax import FlaxModelTesterMixin
if is_flax_available():
import jax
@require_flax
class FlaxAutoencoderKLTests(FlaxModelTeste... | diffusers/tests/models/autoencoders/test_models_vae_flax.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_vae_flax.py",
"repo_id": "diffusers",
"token_count": 513
} | 283 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/llama_index/packs/voyage_query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/llama_index/packs/voyage_query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,707 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
/**
* Interface for TogetherAIEmbeddingsParams parameters. Extends EmbeddingsParams and
* defines additio... | langchainjs/libs/langchain-community/src/embeddings/togetherai.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/togetherai.ts",
"repo_id": "langchainjs",
"token_count": 1901
} | 1,023 |
"""Test ChatAnthropicMessages chat model."""
from langchain_core.prompts import ChatPromptTemplate
from langchain_anthropic.chat_models import ChatAnthropicMessages
def test_stream() -> None:
"""Test streaming tokens from Anthropic."""
llm = ChatAnthropicMessages(model_name="claude-instant-1.2")
for tok... | langchain/libs/partners/anthropic/tests/integration_tests/test_chat_models.py/0 | {
"file_path": "langchain/libs/partners/anthropic/tests/integration_tests/test_chat_models.py",
"repo_id": "langchain",
"token_count": 1046
} | 623 |
import React, { useEffect, useState } from "react";
const PREFIX = "langgizmo-";
export function useStatePersist<T>(
defaultValue: T,
key: string
): [T, React.Dispatch<React.SetStateAction<T>>] {
const [state, setState] = useState<T>(() => {
const storageValue = localStorage.getItem(PREFIX + key);
if (... | opengpts/frontend/src/hooks/useStatePersist.tsx/0 | {
"file_path": "opengpts/frontend/src/hooks/useStatePersist.tsx",
"repo_id": "opengpts",
"token_count": 208
} | 1,924 |
<!--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/training/dreambooth.md/0 | {
"file_path": "diffusers/docs/source/en/training/dreambooth.md",
"repo_id": "diffusers",
"token_count": 6164
} | 195 |
<!--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/quicktour.md/0 | {
"file_path": "diffusers/docs/source/en/quicktour.md",
"repo_id": "diffusers",
"token_count": 4836
} | 194 |
package httpserver
import (
"io"
"net/http"
"github.com/cockroachdb/errors"
"github.com/gin-gonic/gin"
"github.com/gin-gonic/gin/binding"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
var errBadRequest = errors.New("bad request")
// handlerFunc handles http request with gin context
type handlerFun... | milvus/internal/distributed/proxy/httpserver/wrapper.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/wrapper.go",
"repo_id": "milvus",
"token_count": 712
} | 1,716 |
[tool.poetry]
name = "langgraph"
version = "0.0.24"
description = "langgraph"
authors = []
license = "LangGraph License"
readme = "README.md"
repository = "https://www.github.com/langchain-ai/langgraph"
[tool.poetry.dependencies]
python = ">=3.9.0,<4.0"
langchain-core = "^0.1.16"
[tool.poetry.group.test.dependencies... | langgraph/pyproject.toml/0 | {
"file_path": "langgraph/pyproject.toml",
"repo_id": "langgraph",
"token_count": 868
} | 1,078 |
<!--Copyright 2021 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/big_bird.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/big_bird.md",
"repo_id": "transformers",
"token_count": 2762
} | 540 |
filters:
".*":
reviewers:
- fishpenguin
- godchen0212
- xige-16
- FluorineDog
- XuanYang-cn
- czs007
- bigsheeper
- sunby
approvers:
- maintainers
"{common|milvus|schema}\\.proto":
labels:
- area/api
approvers:
- maintainers
"{dat... | milvus/internal/proto/OWNERS/0 | {
"file_path": "milvus/internal/proto/OWNERS",
"repo_id": "milvus",
"token_count": 226
} | 1,955 |
# coding=utf-8
# Copyright 2024 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/depth_anything/convert_depth_anything_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/depth_anything/convert_depth_anything_to_hf.py",
"repo_id": "transformers",
"token_count": 5755
} | 649 |
<jupyter_start><jupyter_text>Xorbits Pandas DataFrameThis notebook goes over how to load data from a [xorbits.pandas](https://doc.xorbits.io/en/latest/reference/pandas/frame.html) DataFrame.<jupyter_code>%pip install --upgrade --quiet xorbits
import xorbits.pandas as pd
df = pd.read_csv("example_data/mlb_teams_2012.cs... | langchain/docs/docs/integrations/document_loaders/xorbits.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/xorbits.ipynb",
"repo_id": "langchain",
"token_count": 217
} | 109 |
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.tencent_cos_file import TencentCOSFileLoader
class TencentCOSDirectoryLoader(BaseLoader):
"""Load from `Tencent Cloud CO... | langchain/libs/community/langchain_community/document_loaders/tencent_cos_directory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/tencent_cos_directory.py",
"repo_id": "langchain",
"token_count": 785
} | 245 |
SERVER_HOST_DEFAULT = "127.0.0.1"
SERVER_PORT_DEFAULT = 19530
SERVER_VERSION = "2.0"
RAW_DATA_DIR = "/test/milvus/raw_data/"
DEFAULT_DEPLOY_MODE = "single"
CHAOS_NAMESPACE = "chaos-testing" # namespace of chaos
CHAOS_API_VERSION = 'chaos-mesh.org/v1alpha1' # chaos mesh api version
CHAOS_GROUP = 'chaos-mesh.org' #... | milvus/tests/python_client/chaos/constants.py/0 | {
"file_path": "milvus/tests/python_client/chaos/constants.py",
"repo_id": "milvus",
"token_count": 455
} | 1,961 |
from llama_index.packs.ollama_query_engine.base import OllamaQueryEnginePack
__all__ = ["OllamaQueryEnginePack"]
| llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/llama_index/packs/ollama_query_engine/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,670 |
from langchain_community.llms.octoai_endpoint import OctoAIEndpoint
__all__ = ["OctoAIEndpoint"]
| langchain/libs/langchain/langchain/llms/octoai_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/octoai_endpoint.py",
"repo_id": "langchain",
"token_count": 37
} | 540 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.yelp import YelpToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in YelpToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-yelp/tests/test_tools_yelp.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yelp/tests/test_tools_yelp.py",
"repo_id": "llama_index",
"token_count": 93
} | 1,540 |
# 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/vivit/configuration_vivit.py/0 | {
"file_path": "transformers/src/transformers/models/vivit/configuration_vivit.py",
"repo_id": "transformers",
"token_count": 2040
} | 713 |
import { z } from "zod";
import { ChatOpenAI } from "@langchain/openai";
import {
StructuredOutputParser,
OutputFixingParser,
} from "langchain/output_parsers";
export const run = async () => {
const parser = StructuredOutputParser.fromZodSchema(
z.object({
answer: z.string().describe("answer to the us... | langchainjs/examples/src/prompts/fix_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/fix_parser.ts",
"repo_id": "langchainjs",
"token_count": 700
} | 878 |
""" PyTorch Mixed Convolution
Paper: MixConv: Mixed Depthwise Convolutional Kernels (https://arxiv.org/abs/1907.09595)
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch
from torch import nn as nn
from .conv2d_same import create_conv2d_pad
def _split_channels(num_chan, num_groups):
split = [nu... | pytorch-image-models/timm/layers/mixed_conv2d.py/0 | {
"file_path": "pytorch-image-models/timm/layers/mixed_conv2d.py",
"repo_id": "pytorch-image-models",
"token_count": 834
} | 334 |
"""Init params."""
from llama_index.finetuning.openai.base import OpenAIFinetuneEngine
__all__ = ["OpenAIFinetuneEngine"]
| llama_index/llama-index-finetuning/llama_index/finetuning/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 42
} | 1,238 |
""" Model / state_dict utils
Hacked together by / Copyright 2020 Ross Wightman
"""
import fnmatch
from copy import deepcopy
import torch
from torchvision.ops.misc import FrozenBatchNorm2d
from timm.layers import BatchNormAct2d, SyncBatchNormAct, FrozenBatchNormAct2d,\
freeze_batch_norm_2d, unfreeze_batch_norm_2d... | pytorch-image-models/timm/utils/model.py/0 | {
"file_path": "pytorch-image-models/timm/utils/model.py",
"repo_id": "pytorch-image-models",
"token_count": 4233
} | 410 |
# Know your dataset
There are two types of dataset objects, a regular [`Dataset`] and then an ✨ [`IterableDataset`] ✨. A [`Dataset`] provides fast random access to the rows, and memory-mapping so that loading even large datasets only uses a relatively small amount of device memory. But for really, really big datasets ... | datasets/docs/source/access.mdx/0 | {
"file_path": "datasets/docs/source/access.mdx",
"repo_id": "datasets",
"token_count": 2274
} | 119 |
<!--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/deepfloyd_if.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/deepfloyd_if.md",
"repo_id": "diffusers",
"token_count": 6743
} | 174 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/checkers/balance_checker_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/balance_checker_test.go",
"repo_id": "milvus",
"token_count": 3214
} | 1,826 |
# Instructions to Replicate Zephyr-7b-β
As described in the Zephyr [technical report](https://huggingface.co/papers/2310.16944), training this model proceeds in two steps:
1. Apply SFT to fine-tune Mistral 7B on a filtered version of the UltraChat dataset ([link](https://huggingface.co/datasets/HuggingFaceH4/ultrach... | alignment-handbook/recipes/zephyr-7b-beta/README.md/0 | {
"file_path": "alignment-handbook/recipes/zephyr-7b-beta/README.md",
"repo_id": "alignment-handbook",
"token_count": 888
} | 28 |
from langchain_community.document_loaders.dropbox import DropboxLoader
__all__ = ["DropboxLoader"]
| langchain/libs/langchain/langchain/document_loaders/dropbox.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/dropbox.py",
"repo_id": "langchain",
"token_count": 28
} | 513 |
pub trait VecOps: num_traits::NumAssign + Copy {
fn min(self, rhs: Self) -> Self;
fn max(self, rhs: Self) -> Self;
/// Dot-product of two vectors.
///
/// # Safety
///
/// The length of `lhs` and `rhs` have to be at least `len`. `res` has to point to a valid
/// element.
#[inline(al... | candle/candle-core/src/cpu/kernels.rs/0 | {
"file_path": "candle/candle-core/src/cpu/kernels.rs",
"repo_id": "candle",
"token_count": 2328
} | 33 |
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
| langchain-nextjs-template/postcss.config.js/0 | {
"file_path": "langchain-nextjs-template/postcss.config.js",
"repo_id": "langchain-nextjs-template",
"token_count": 38
} | 68 |
# 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/models/univnet/test_feature_extraction_univnet.py/0 | {
"file_path": "transformers/tests/models/univnet/test_feature_extraction_univnet.py",
"repo_id": "transformers",
"token_count": 7246
} | 830 |
# coding=utf-8
# Copyright 2023 Google AI 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
#
#... | transformers/src/transformers/models/owlv2/modeling_owlv2.py/0 | {
"file_path": "transformers/src/transformers/models/owlv2/modeling_owlv2.py",
"repo_id": "transformers",
"token_count": 35173
} | 674 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,876 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,347 |
from llama_index.packs.vectara_rag.base import VectaraRagPack
__all__ = ["VectaraRagPack"]
| llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,695 |
"""JSON node parser."""
import json
from typing import Any, Dict, Generator, List, Optional, Sequence
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.node_parser.interface import NodeParser
from llama_index.legacy.node_parser.node_utils import build_nodes_from_splits
from llama_i... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/json.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/file/json.py",
"repo_id": "llama_index",
"token_count": 1617
} | 1,593 |
from llama_index.vector_stores.chatgpt_plugin.base import ChatGPTRetrievalPluginClient
__all__ = ["ChatGPTRetrievalPluginClient"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/llama_index/vector_stores/chatgpt_plugin/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/llama_index/vector_stores/chatgpt_plugin/__init__.py",
"repo_id": "llama_index",
"token_count": 43
} | 1,549 |
import contextlib
import gc
import inspect
import io
import json
import os
import re
import tempfile
import unittest
import uuid
from typing import Callable, Union
import numpy as np
import PIL.Image
import torch
from huggingface_hub import ModelCard, delete_repo
from huggingface_hub.utils import is_jinja_available
fr... | diffusers/tests/pipelines/test_pipelines_common.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines_common.py",
"repo_id": "diffusers",
"token_count": 24360
} | 259 |
import type {
BaseLanguageModel,
BaseLanguageModelInterface,
} from "@langchain/core/language_models/base";
import type { TiktokenModel } from "js-tiktoken/lite";
import type { OpenAI } from "@langchain/openai";
import { ChainValues } from "@langchain/core/utils/types";
import { BasePromptTemplate, PromptTemplate }... | langchainjs/langchain/src/chains/sql_db/sql_db_chain.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/sql_db/sql_db_chain.ts",
"repo_id": "langchainjs",
"token_count": 3532
} | 856 |
import pytest
import threading
from time import sleep
from pymilvus import connections
from chaos.checker import (CollectionCreateChecker,
InsertChecker,
FlushChecker,
SearchChecker,
QueryChecker,
... | milvus/tests/python_client/chaos/testcases/test_single_request_operation_for_standby.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_single_request_operation_for_standby.py",
"repo_id": "milvus",
"token_count": 2080
} | 1,895 |
from typing import Any, Mapping, Optional
from llama_index.readers.airbyte_cdk.base import AirbyteCDKReader, RecordHandler
class AirbyteStripeReader(AirbyteCDKReader):
"""AirbyteStripeReader reader.
Retrieve documents from Stripe
Args:
config: The config object for the stripe source.
"""
... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/llama_index/readers/airbyte_stripe/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/llama_index/readers/airbyte_stripe/base.py",
"repo_id": "llama_index",
"token_count": 283
} | 1,284 |
package distance
import (
"math"
"strings"
"sync"
"github.com/cockroachdb/errors"
)
/**
* Delete in #25663 Remove calc_distance
* Add back partially as clustering feature needs to calculate distance between search vector and clustering center
*/
const (
// L2 represents the Euclidean distance
L2 = "L2"
// ... | milvus/pkg/util/distance/calc_distance.go/0 | {
"file_path": "milvus/pkg/util/distance/calc_distance.go",
"repo_id": "milvus",
"token_count": 1334
} | 2,049 |
"""Test query transform."""
from llama_index.core.indices.query.query_transform.base import (
DecomposeQueryTransform,
)
from llama_index.core.service_context import ServiceContext
from tests.indices.query.query_transform.mock_utils import MOCK_DECOMPOSE_PROMPT
def test_decompose_query_transform(mock_service_co... | llama_index/llama-index-core/tests/indices/query/query_transform/test_base.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/query/query_transform/test_base.py",
"repo_id": "llama_index",
"token_count": 283
} | 1,221 |
# Airtable
>[Airtable](https://en.wikipedia.org/wiki/Airtable) is a cloud collaboration service.
`Airtable` is a spreadsheet-database hybrid, with the features of a database but applied to a spreadsheet.
> The fields in an Airtable table are similar to cells in a spreadsheet, but have types such as 'checkbox',
> 'ph... | langchain/docs/docs/integrations/providers/airtable.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/airtable.md",
"repo_id": "langchain",
"token_count": 365
} | 132 |
from typing import List, cast
import pytest
from llama_index.legacy.indices.vector_store.base import VectorStoreIndex
from llama_index.legacy.schema import (
Document,
NodeRelationship,
QueryBundle,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.service_context import ServiceContext
from llam... | llama_index/llama-index-legacy/tests/indices/vector_store/test_retrievers.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/vector_store/test_retrievers.py",
"repo_id": "llama_index",
"token_count": 1979
} | 1,555 |
# candle-yolo-v8: Object Detection and Pose Estimation
This is a port of [Ultralytics
YOLOv8](https://github.com/ultralytics/ultralytics). The implementation is based
on the [tinygrad
version](https://github.com/tinygrad/tinygrad/blob/master/examples/yolov8.py)
and on the model architecture described in this
[issue](h... | candle/candle-examples/examples/yolo-v8/README.md/0 | {
"file_path": "candle/candle-examples/examples/yolo-v8/README.md",
"repo_id": "candle",
"token_count": 562
} | 54 |
# coding=utf-8
# 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 r... | transformers/tests/models/gpt_neo/test_modeling_gpt_neo.py/0 | {
"file_path": "transformers/tests/models/gpt_neo/test_modeling_gpt_neo.py",
"repo_id": "transformers",
"token_count": 11505
} | 802 |
import abc
import json
from typing import TYPE_CHECKING, List
if TYPE_CHECKING:
from botocore.response import StreamingBody
from llama_index.core.bridge.pydantic import Field
class BaseIOHandler(metaclass=abc.ABCMeta):
content_type: str = Field(
description="The MIME type of the input data in the re... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/utils.py",
"repo_id": "llama_index",
"token_count": 651
} | 1,374 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/graph_stores/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/graph_stores/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,710 |
<script lang="ts">
import { base } from "$app/paths";
import { page } from "$app/stores";
import { PUBLIC_APP_DESCRIPTION, PUBLIC_APP_NAME } from "$env/static/public";
import LogoHuggingFaceBorderless from "$lib/components/icons/LogoHuggingFaceBorderless.svelte";
import Modal from "$lib/components/Modal.svelte";
... | chat-ui/src/lib/components/LoginModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/LoginModal.svelte",
"repo_id": "chat-ui",
"token_count": 917
} | 94 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.llama_cpp import LlamaCPP
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in LlamaCPP.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/tests/test_llms_llama_cpp.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-cpp/tests/test_llms_llama_cpp.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,228 |
.. _Ref-LLMs:
LLMs
====
A large language model (LLM) is a reasoning engine that can complete text,
chat with users, and follow instructions.
LLM Interface
^^^^^^^^^^^^^^^^^^^^^^^
.. autoclass:: llama_index.core.llms.base.LLM
:members:
:inherited-members:
Schemas
^^^^^^^
.. autoclass:: llama_index.core.llms... | llama_index/docs/api_reference/llms.rst/0 | {
"file_path": "llama_index/docs/api_reference/llms.rst",
"repo_id": "llama_index",
"token_count": 232
} | 1,077 |
# LangChain google-webauth
This package contains resources to access Google AI/ML models
and other Google services. Authorization to these services use
either an API Key or service account credentials that are included
in an environment variable.
If you are running this on the Google Cloud Platform, or in a way
where... | langchainjs/libs/langchain-google-webauth/README.md/0 | {
"file_path": "langchainjs/libs/langchain-google-webauth/README.md",
"repo_id": "langchainjs",
"token_count": 372
} | 993 |
"""Llama integration with Langchain agents."""
from llama_index.core.langchain_helpers.agents.agents import (
create_llama_agent,
create_llama_chat_agent,
)
from llama_index.core.langchain_helpers.agents.toolkits import LlamaToolkit
from llama_index.core.langchain_helpers.agents.tools import (
IndexToolCon... | llama_index/llama-index-core/llama_index/core/langchain_helpers/agents/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/langchain_helpers/agents/__init__.py",
"repo_id": "llama_index",
"token_count": 209
} | 1,226 |
# 🦜️🔗 LangChain
⚡ Building applications with LLMs through composability ⚡
[](https://github.com/langchain-ai/langchain/releases)
[](https://github.com/... | langchain/libs/langchain/README.md/0 | {
"file_path": "langchain/libs/langchain/README.md",
"repo_id": "langchain",
"token_count": 1708
} | 430 |
from langchain_robocorp.toolkits import ActionServerToolkit
__all__ = [
"ActionServerToolkit",
]
| langchain/libs/partners/robocorp/langchain_robocorp/__init__.py/0 | {
"file_path": "langchain/libs/partners/robocorp/langchain_robocorp/__init__.py",
"repo_id": "langchain",
"token_count": 36
} | 624 |
// Assumes that chroma-hnswlib is checked out at the same level as chroma
#include "../../../hnswlib/hnswlib/hnswlib.h"
template <typename dist_t, typename data_t = float>
class Index
{
public:
std::string space_name;
int dim;
size_t seed;
bool normalize;
bool index_inited;
hnswlib::Hierarchi... | chroma/rust/worker/bindings.cpp/0 | {
"file_path": "chroma/rust/worker/bindings.cpp",
"repo_id": "chroma",
"token_count": 2831
} | 58 |
[tool.poetry]
name = "rag-google-cloud-sensitive-data-protection"
version = "0.0.1"
description = "RAG using sensitive data protection"
authors = ["Juan Calvo <juan.calvo@datatonic.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
google-cloud-aiplatform = ">=1.35.0"
goo... | langchain/templates/rag-google-cloud-sensitive-data-protection/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-google-cloud-sensitive-data-protection/pyproject.toml",
"repo_id": "langchain",
"token_count": 322
} | 716 |
import { FigmaFileLoader } from "langchain/document_loaders/web/figma";
const loader = new FigmaFileLoader({
accessToken: "FIGMA_ACCESS_TOKEN", // or load it from process.env.FIGMA_ACCESS_TOKEN
nodeIds: ["id1", "id2", "id3"],
fileKey: "key",
});
const docs = await loader.load();
console.log({ docs });
| langchainjs/examples/src/document_loaders/figma.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/figma.ts",
"repo_id": "langchainjs",
"token_count": 111
} | 853 |
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