text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# coding=utf-8
# Copyright 2021 Iz Beltagy, Matthew E. Peters, Arman Cohan 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://w... | transformers/src/transformers/models/led/modeling_led.py/0 | {
"file_path": "transformers/src/transformers/models/led/modeling_led.py",
"repo_id": "transformers",
"token_count": 59459
} | 689 |
from typing import Any, Iterator, List, Sequence, cast
from langchain_core.documents import BaseDocumentTransformer, Document
class BeautifulSoupTransformer(BaseDocumentTransformer):
"""Transform HTML content by extracting specific tags and removing unwanted ones.
Example:
.. code-block:: python
... | langchain/libs/community/langchain_community/document_transformers/beautiful_soup_transformer.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/beautiful_soup_transformer.py",
"repo_id": "langchain",
"token_count": 2137
} | 252 |
use crate::parallelism::*;
use crate::tokenizer::{Offsets, Token};
use crate::utils::padding::PaddingDirection;
use crate::utils::truncation::TruncationDirection;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::ops::Range;
/// Represents the output of a `Tokenizer`.
#[derive(Default, Parti... | tokenizers/tokenizers/src/tokenizer/encoding.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/encoding.rs",
"repo_id": "tokenizers",
"token_count": 17197
} | 435 |
use super::Pair;
use rand::{thread_rng, Rng};
use std::cmp::Ordering;
use std::collections::{BinaryHeap, HashMap};
#[derive(Debug, Eq)]
struct Merge {
pos: usize,
rank: u32,
new_id: u32,
}
impl PartialEq for Merge {
fn eq(&self, other: &Self) -> bool {
self.rank == other.rank && self.pos == ot... | tokenizers/tokenizers/src/models/bpe/word.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/bpe/word.rs",
"repo_id": "tokenizers",
"token_count": 6488
} | 418 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/common_tree/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/common_tree/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,562 |
import { AgentExecutor, ChatAgent } from "langchain/agents";
import { ConversationChain, LLMChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import { BufferMemory } from "langchain/memory";
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
MessagesPlaceholder,
SystemMessag... | langchainjs/examples/src/chat/overview.ts/0 | {
"file_path": "langchainjs/examples/src/chat/overview.ts",
"repo_id": "langchainjs",
"token_count": 1335
} | 806 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -8.6875,
"text": "Test"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json",
"repo_id": "text-generation-inference",
"token_count": 4901
} | 423 |
import unittest
from dataclasses import dataclass
import pytest
from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict
@dataclass
class MockLaunchConfig(SageMakerConfig):
compute_environment = ... | accelerate/tests/test_sagemaker.py/0 | {
"file_path": "accelerate/tests/test_sagemaker.py",
"repo_id": "accelerate",
"token_count": 851
} | 19 |
python_tests()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,265 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/merr/errors_test.go/0 | {
"file_path": "milvus/pkg/util/merr/errors_test.go",
"repo_id": "milvus",
"token_count": 3285
} | 1,918 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/auto/auto_factory.py/0 | {
"file_path": "transformers/src/transformers/models/auto/auto_factory.py",
"repo_id": "transformers",
"token_count": 17510
} | 618 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/channel_manager.go/0 | {
"file_path": "milvus/internal/datacoord/channel_manager.go",
"repo_id": "milvus",
"token_count": 10709
} | 1,789 |
import operator
from typing import Annotated, Sequence, TypedDict, Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.messages import BaseMessage
from langchain_core.runnables import RunnableLambda
from langgraph.graph import END, StateGraph
from langgraph.prebuilt.tool_executor impo... | langgraph/langgraph/prebuilt/agent_executor.py/0 | {
"file_path": "langgraph/langgraph/prebuilt/agent_executor.py",
"repo_id": "langgraph",
"token_count": 1844
} | 1,034 |
# 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 applicabl... | transformers/src/transformers/onnx/convert.py/0 | {
"file_path": "transformers/src/transformers/onnx/convert.py",
"repo_id": "transformers",
"token_count": 7864
} | 760 |
package conc
import (
"sync"
"testing"
"github.com/stretchr/testify/suite"
"go.uber.org/atomic"
)
type SingleflightSuite struct {
suite.Suite
}
func (s *SingleflightSuite) TestDo() {
counter, hasShared := atomic.Int32{}, atomic.Bool{}
sf := Singleflight[any]{}
ch := make(chan struct{})
var wg sync.WaitGro... | milvus/pkg/util/conc/singleflight_test.go/0 | {
"file_path": "milvus/pkg/util/conc/singleflight_test.go",
"repo_id": "milvus",
"token_count": 836
} | 1,898 |
"""OpenAI Agent.
Simple wrapper around AgentRunner + OpenAIAgentWorker.
For the legacy implementation see:
```python
from llama_index.agent.legacy.openai.base import OpenAIAgent
```
"""
from typing import (
Any,
List,
Optional,
Type,
)
from llama_index.agent.openai.step import OpenAIAgentWorker
from... | llama_index/llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/llama_index/agent/openai/base.py",
"repo_id": "llama_index",
"token_count": 1912
} | 1,340 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/opt/test_modeling_tf_opt.py/0 | {
"file_path": "transformers/tests/models/opt/test_modeling_tf_opt.py",
"repo_id": "transformers",
"token_count": 7496
} | 779 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/dataset/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,288 |
{
"name": "docs",
"version": "0.0.0",
"private": true,
"scripts": {
"docusaurus": "docusaurus",
"start": "rm -rf ./docs/api && docusaurus start",
"build": "bash vercel_build.sh && rm -rf ./build && docusaurus build",
"swizzle": "docusaurus swizzle",
"deploy": "docusaurus deploy",
"clear"... | langchain/docs/package.json/0 | {
"file_path": "langchain/docs/package.json",
"repo_id": "langchain",
"token_count": 968
} | 200 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-txtai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-txtai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,429 |
import { test, expect } from "@jest/globals";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { LLMResult } from "@langchain/core/outputs";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { ChatMessageHistory } from "@langchain/community/stores/message/in_memory";
imp... | langchainjs/langchain/src/memory/tests/entity_memory.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/entity_memory.test.ts",
"repo_id": "langchainjs",
"token_count": 583
} | 1,000 |
"""Base output parser class."""
from dataclasses import dataclass
from typing import Any, Dict, Optional
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.core.query_pipeline.query_component import (
ChainableMixin,
InputKeys,
OutputKeys,
QueryComponent,
validate_and_con... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/base.py",
"repo_id": "llama_index",
"token_count": 731
} | 1,746 |
[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.mypy]
disallow_untyped_defs = true
exclude = ["_static", "build", "examples", "notebooks", "venv"]
ignore_missi... | llama_index/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml",
"repo_id": "llama_index",
"token_count": 603
} | 1,332 |
export const SQL_PREFIX = `You are an agent designed to interact with a SQL database.
Given an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer.
Unless the user specifies a specific number of examples they wish to obtain, always limit you... | langchainjs/langchain/src/agents/toolkits/sql/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/sql/prompt.ts",
"repo_id": "langchainjs",
"token_count": 299
} | 948 |
from pymilvus import connections
import sys
sys.path.append("..")
sys.path.append("../..")
from common.milvus_sys import MilvusSys
from utils import *
def task_1(data_size, host):
"""
task_1:
before upgrade: create collection and insert data with flush, create index, load and search
after upgr... | milvus/tests/python_client/deploy/scripts/action_after_upgrade.py/0 | {
"file_path": "milvus/tests/python_client/deploy/scripts/action_after_upgrade.py",
"repo_id": "milvus",
"token_count": 1526
} | 2,180 |
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 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... | transformers/examples/research_projects/mm-imdb/utils_mmimdb.py/0 | {
"file_path": "transformers/examples/research_projects/mm-imdb/utils_mmimdb.py",
"repo_id": "transformers",
"token_count": 2030
} | 528 |
import json
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
LLMMetadata,... | llama_index/llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-rungpt/llama_index/llms/rungpt/base.py",
"repo_id": "llama_index",
"token_count": 5387
} | 1,315 |
package proxy
import (
"context"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvu... | milvus/internal/proxy/default_limit_reducer.go/0 | {
"file_path": "milvus/internal/proxy/default_limit_reducer.go",
"repo_id": "milvus",
"token_count": 961
} | 1,737 |
import { expect, test } from "@jest/globals";
import { CombiningOutputParser } from "../combining.js";
import { StructuredOutputParser } from "../structured.js";
import { RegexParser } from "../regex.js";
test("CombiningOutputParser", async () => {
const parser = new CombiningOutputParser(
StructuredOutputParse... | langchainjs/langchain/src/output_parsers/tests/combining.test.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/tests/combining.test.ts",
"repo_id": "langchainjs",
"token_count": 983
} | 939 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, 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.or... | transformers/src/transformers/models/distilbert/modeling_flax_distilbert.py/0 | {
"file_path": "transformers/src/transformers/models/distilbert/modeling_flax_distilbert.py",
"repo_id": "transformers",
"token_count": 14393
} | 607 |
package writebuffer
import (
"context"
"sync"
"time"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/datanode/metacache"
"github.com/milvus-io/milvus/internal/datanode/syncmgr"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/... | milvus/internal/datanode/writebuffer/manager.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/manager.go",
"repo_id": "milvus",
"token_count": 2689
} | 1,784 |
<jupyter_start><jupyter_text>Benchmarking LLM Evaluators On The MT-Bench Human Judgement `LabelledPairwiseEvaluatorDataset` In this notebook guide, we benchmark Gemini and GPT models as LLM evaluators using a slightly adapted version of the MT-Bench Human Judgements dataset. For this dataset, human evaluators compare t... | llama_index/docs/examples/evaluation/mt_bench_human_judgement.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/mt_bench_human_judgement.ipynb",
"repo_id": "llama_index",
"token_count": 2059
} | 1,056 |
import multiprocessing
import numbers
import random
import numpy
import threading
import pytest
import pandas as pd
import decimal
from decimal import Decimal, getcontext
from time import sleep
import heapq
from base.client_base import TestcaseBase
from utils.util_log import test_log as log
from common import common_f... | milvus/tests/python_client/milvus_client/test_milvus_client_alias.py/0 | {
"file_path": "milvus/tests/python_client/milvus_client/test_milvus_client_alias.py",
"repo_id": "milvus",
"token_count": 10904
} | 2,183 |
from langchain_community.document_loaders.merge import MergedDataLoader
__all__ = ["MergedDataLoader"]
| langchain/libs/langchain/langchain/document_loaders/merge.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/merge.py",
"repo_id": "langchain",
"token_count": 31
} | 484 |
# adapted from https://github.com/huggingface/notebooks/blob/main/transformers_doc/en/pytorch/image_captioning.ipynb
# This example demonstrates normal finetuning (w/o peft) - for the sake of keeping the memory
# requirements small it freezes the original pre-trained text and image layers to keep the memory
# requirem... | notebooks/examples/idefics/finetune_image_captioning.py/0 | {
"file_path": "notebooks/examples/idefics/finetune_image_captioning.py",
"repo_id": "notebooks",
"token_count": 1670
} | 303 |
from typing import List
import jieba
from tokenizers import NormalizedString, PreTokenizedString, Regex, Tokenizer
from tokenizers.decoders import Decoder
from tokenizers.models import BPE
from tokenizers.normalizers import Normalizer
from tokenizers.pre_tokenizers import PreTokenizer
class JiebaPreTokenizer:
de... | tokenizers/bindings/python/examples/custom_components.py/0 | {
"file_path": "tokenizers/bindings/python/examples/custom_components.py",
"repo_id": "tokenizers",
"token_count": 1293
} | 460 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatRe... | llama_index/llama-index-legacy/llama_index/legacy/llms/llama_api.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/llama_api.py",
"repo_id": "llama_index",
"token_count": 1971
} | 1,680 |
import argparse
import json
import subprocess
def get_runner_status(target_runners, token):
offline_runners = []
cmd = (
f'curl -H "Accept: application/vnd.github+json" -H "Authorization: Bearer {token}"'
" https://api.github.com/repos/huggingface/transformers/actions/runners"
)
outpu... | transformers/utils/check_self_hosted_runner.py/0 | {
"file_path": "transformers/utils/check_self_hosted_runner.py",
"repo_id": "transformers",
"token_count": 611
} | 765 |
interactions:
- request:
body: '{"input": [[2059, 7341, 527, 264, 1912, 315, 658, 10753, 677, 81, 3581,
7795, 32971, 555, 264, 7558, 321, 351, 61798, 30535, 11, 4330, 311, 8254, 342,
484, 1776, 1220, 389, 279, 11314, 315, 279, 2010, 11, 323, 281, 1279, 278, 66079,
430, 527, 539, 75754, 311, 279, 2... | langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_custom_index_from_documents.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_custom_index_from_documents.yaml",
"repo_id": "langchain",
"token_count": 31715
} | 377 |
# NOTE timm.models.layers is DEPRECATED, please use timm.layers, this is here to reduce breakages in transition
from timm.layers.activations import *
from timm.layers.adaptive_avgmax_pool import \
adaptive_avgmax_pool2d, select_adaptive_pool2d, AdaptiveAvgMaxPool2d, SelectAdaptivePool2d
from timm.layers.attention_p... | pytorch-image-models/timm/models/layers/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/models/layers/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 1240
} | 374 |
<jupyter_start><jupyter_text>Cube Semantic Layer This notebook demonstrates the process of retrieving Cube's data model metadata in a format suitable for passing to LLMs as embeddings, thereby enhancing contextual information. About Cube [Cube](https://cube.dev/) is the Semantic Layer for building data apps. It helps ... | langchain/docs/docs/integrations/document_loaders/cube_semantic.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/cube_semantic.ipynb",
"repo_id": "langchain",
"token_count": 916
} | 110 |
<jupyter_start><jupyter_text>RAGatouille[RAGatouille](https://github.com/bclavie/RAGatouille) makes it as simple as can be to use ColBERT! [ColBERT](https://github.com/stanford-futuredata/ColBERT) is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of millisec... | langchain/docs/docs/integrations/providers/ragatouille.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/ragatouille.ipynb",
"repo_id": "langchain",
"token_count": 1104
} | 143 |
package flag
import (
"fmt"
"github.com/spf13/cobra"
)
const (
DefaultGRPCPort = 50051
)
func GRPCAddr(cmd *cobra.Command, conf *string) {
cmd.Flags().StringVarP(conf, "grpc-addr", "g", fmt.Sprintf("0.0.0.0:%d", DefaultGRPCPort), "GRPC service bind address")
}
| chroma/go/coordinator/cmd/flag/flag.go/0 | {
"file_path": "chroma/go/coordinator/cmd/flag/flag.go",
"repo_id": "chroma",
"token_count": 117
} | 40 |
[tool.poetry]
name = "rag-fusion"
version = "0.0.1"
description = "RAG using RAG fusion approach"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
pinecone-client = "^2.2.4"
langchainhub = "^0.1.13"
[tool.poetry.group.dev.dependencies]
langchain-cli... | langchain/templates/rag-fusion/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-fusion/pyproject.toml",
"repo_id": "langchain",
"token_count": 271
} | 654 |
"""Chains and utils related to evaluating question answering functionality."""
from langchain.evaluation.qa.eval_chain import (
ContextQAEvalChain,
CotQAEvalChain,
QAEvalChain,
)
from langchain.evaluation.qa.generate_chain import QAGenerateChain
__all__ = ["QAEvalChain", "QAGenerateChain", "ContextQAEvalCh... | langchain/libs/langchain/langchain/evaluation/qa/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/qa/__init__.py",
"repo_id": "langchain",
"token_count": 115
} | 512 |
from typing import Any, Optional
from llama_index.legacy.storage.docstore.keyval_docstore import KVDocumentStore
from llama_index.legacy.storage.docstore.types import DEFAULT_BATCH_SIZE
from llama_index.legacy.storage.kvstore.redis_kvstore import RedisKVStore
class RedisDocumentStore(KVDocumentStore):
"""Redis D... | llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/redis_docstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/docstore/redis_docstore.py",
"repo_id": "llama_index",
"token_count": 677
} | 1,603 |
import argparse
import logging
import math
import os
import random
from pathlib import Path
import jax
import jax.numpy as jnp
import numpy as np
import optax
import torch
import torch.utils.checkpoint
import transformers
from datasets import load_dataset
from flax import jax_utils
from flax.training import train_stat... | diffusers/examples/text_to_image/train_text_to_image_flax.py/0 | {
"file_path": "diffusers/examples/text_to_image/train_text_to_image_flax.py",
"repo_id": "diffusers",
"token_count": 9855
} | 220 |
# VisualBERT Demo
This demo shows usage of VisualBERT VQA model and is adapted from LXMERT demo present [here](https://github.com/huggingface/transformers/blob/main/examples/research_projects/lxmert/demo.ipynb).
1. make a virtualenv: ``virtualenv venv`` and activate ``source venv/bin/activate``
2. install reqs: ``pip ... | transformers/examples/research_projects/visual_bert/README.md/0 | {
"file_path": "transformers/examples/research_projects/visual_bert/README.md",
"repo_id": "transformers",
"token_count": 127
} | 556 |
<jupyter_start><jupyter_text>YandexGPTThis notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt).To use, you should have the `yandexcloud` python package installed.<jupyter_code>%pip install --upgrade --quiet yandexcloud<jupyter_output><empty_output><jupyter_text>Firs... | langchain/docs/docs/integrations/llms/yandex.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/yandex.ipynb",
"repo_id": "langchain",
"token_count": 518
} | 135 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-intercom/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-intercom/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,462 |
---
sidebar_position: 0
---
# Quick Start
Language models take text as input - that text is commonly referred to as a prompt.
Typically this is not simply a hardcoded string but rather a combination of a template, some examples, and user input.
LangChain provides several classes and functions to make constructing and... | langchainjs/docs/core_docs/docs/modules/model_io/prompts/quick_start.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/prompts/quick_start.mdx",
"repo_id": "langchainjs",
"token_count": 2104
} | 740 |
import { test } from "@jest/globals";
import { Writer } from "../writer.js";
test.skip("Test Writer", async () => {
const model = new Writer({ maxTokens: 20 });
const res = await model.invoke("1 + 1 =");
console.log(res);
}, 50000);
| langchainjs/libs/langchain-community/src/llms/tests/writer.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/tests/writer.int.test.ts",
"repo_id": "langchainjs",
"token_count": 80
} | 1,004 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,356 |
from typing import Literal
import pytest
from llama_index.legacy.embeddings import FastEmbedEmbedding
try:
import fastembed
except ImportError:
fastembed = None # type: ignore
@pytest.mark.skipif(fastembed is None, reason="fastembed is not installed")
@pytest.mark.parametrize(
"model_name", ["sentence-... | llama_index/llama-index-legacy/tests/embeddings/test_fastembed.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/embeddings/test_fastembed.py",
"repo_id": "llama_index",
"token_count": 671
} | 1,616 |
import { test, expect } from "@jest/globals";
import { flattenObjectForWeaviate } from "../vectorstores.js";
test("flattenObjectForWeaviate", () => {
expect(
flattenObjectForWeaviate({
array2: [{}, "a"],
deep: {
string: "deep string",
array: ["1", 2],
array3: [1, 3],
... | langchainjs/libs/langchain-weaviate/src/tests/vectorstores.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-weaviate/src/tests/vectorstores.test.ts",
"repo_id": "langchainjs",
"token_count": 312
} | 1,047 |
# LlamaIndex Postprocessor Integration: Sbert Rerank
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,299 |
package indexnode
import (
"context"
"fmt"
"github.com/milvus-io/milvus/internal/proto/indexpb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type StorageFactory interface {
NewChunkManager(ctx context.Context, config *indexpb.StorageConfig) (storage.ChunkMana... | milvus/internal/indexnode/chunk_mgr_factory.go/0 | {
"file_path": "milvus/internal/indexnode/chunk_mgr_factory.go",
"repo_id": "milvus",
"token_count": 552
} | 1,719 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-weather/llama_index/readers/weather/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weather/llama_index/readers/weather/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,430 |
from __future__ import annotations
import json
import logging
from hashlib import sha1
from threading import Thread
from typing import Any, Dict, Iterable, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseSe... | langchain/libs/community/langchain_community/vectorstores/starrocks.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/starrocks.py",
"repo_id": "langchain",
"token_count": 8342
} | 314 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/agent/react/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/agent/react/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,615 |
from typing import List
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from langchain_community.utilities.pubmed import PubMedAPIWrapper
class PubMedRetriever(BaseRetriever, PubMedAPIWrapper):
... | langchain/libs/community/langchain_community/retrievers/pubmed.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/pubmed.py",
"repo_id": "langchain",
"token_count": 206
} | 279 |
# Cloudflare
>[Cloudflare, Inc. (Wikipedia)](https://en.wikipedia.org/wiki/Cloudflare) is an American company that provides
> content delivery network services, cloud cybersecurity, DDoS mitigation, and ICANN-accredited
> domain registration services.
>[Cloudflare Workers AI](https://developers.cloudflare.com/worke... | langchain/docs/docs/integrations/providers/cloudflare.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/cloudflare.mdx",
"repo_id": "langchain",
"token_count": 190
} | 129 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/utils/test_add_new_model_like.py/0 | {
"file_path": "transformers/tests/utils/test_add_new_model_like.py",
"repo_id": "transformers",
"token_count": 25261
} | 772 |
"""Test CPAL chain."""
import json
import unittest
from typing import Type
from unittest import mock
import pytest
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts.prompt import PromptTemplate
from langchain_community.llms import OpenAI
from langchain_experimental import pydantic_v1 a... | langchain/libs/experimental/tests/integration_tests/chains/test_cpal.py/0 | {
"file_path": "langchain/libs/experimental/tests/integration_tests/chains/test_cpal.py",
"repo_id": "langchain",
"token_count": 11014
} | 429 |
[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 = ["StreamlitChatPack"]
contains_example = false
import_path = "llama_index.packs.streamlit_c... | llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml",
"repo_id": "llama_index",
"token_count": 752
} | 1,609 |
import type { createCluster, createClient } from "redis";
import {
BaseCache,
deserializeStoredGeneration,
getCacheKey,
serializeGeneration,
} from "@langchain/core/caches";
import { Generation } from "@langchain/core/outputs";
/**
* Represents the type of the Redis client used to interact with the Redis
* ... | langchainjs/libs/langchain-redis/src/caches.ts/0 | {
"file_path": "langchainjs/libs/langchain-redis/src/caches.ts",
"repo_id": "langchainjs",
"token_count": 907
} | 1,066 |
<!--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/using-diffusers/textual_inversion_inference.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/textual_inversion_inference.md",
"repo_id": "diffusers",
"token_count": 1716
} | 190 |
from langchain_community.document_loaders.docugami import (
DocugamiLoader,
)
__all__ = [
"DocugamiLoader",
]
| langchain/libs/langchain/langchain/document_loaders/docugami.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/docugami.py",
"repo_id": "langchain",
"token_count": 47
} | 479 |
<jupyter_start><jupyter_text>Pinecone Vector Store - Metadata Filter If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-pinecone
# !pip install llama-index>=0.9.31 pinecone-client>=3.0.0
import logging
import sys
import os
logg... | llama_index/docs/examples/vector_stores/pinecone_metadata_filter.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/pinecone_metadata_filter.ipynb",
"repo_id": "llama_index",
"token_count": 2228
} | 1,095 |
<jupyter_start><jupyter_text>Exporting LLM Runs and Feedback[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/exploratory-data-analysis/exporting-llm-runs-and-feedback/llm_run_etl.ipynb)Understanding how your LLM app interacts with users is crucial. LangSmith offers a number of usefu... | langsmith-cookbook/exploratory-data-analysis/exporting-llm-runs-and-feedback/llm_run_etl.ipynb/0 | {
"file_path": "langsmith-cookbook/exploratory-data-analysis/exporting-llm-runs-and-feedback/llm_run_etl.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 2985
} | 1,008 |
<jupyter_start><jupyter_text>Explain *Anything* Like I'm Five: A Model for Open Domain Long Form Question Answering--- Table of Contents 1. [**Introduction**](intro) a. [Preliminaries](prelims) b. [Note on Data and Biases](reddit_biases)2. [**Task and Data Description**](task_description) 3. [**Sparse Ret... | notebooks/longform-qa/Long_Form_Question_Answering_with_ELI5_and_Wikipedia.ipynb/0 | {
"file_path": "notebooks/longform-qa/Long_Form_Question_Answering_with_ELI5_and_Wikipedia.ipynb",
"repo_id": "notebooks",
"token_count": 13060
} | 313 |
from rag_vectara_multiquery.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-vectara-multiquery/rag_vectara_multiquery/__init__.py/0 | {
"file_path": "langchain/templates/rag-vectara-multiquery/rag_vectara_multiquery/__init__.py",
"repo_id": "langchain",
"token_count": 24
} | 675 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangadex/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,394 |
import { ChatOpenAI } from "@langchain/openai";
import { HttpResponseOutputParser } from "langchain/output_parsers";
const handler = async () => {
const parser = new HttpResponseOutputParser();
const model = new ChatOpenAI({ temperature: 0 });
const stream = await model.pipe(parser).stream("Hello there!");
... | langchainjs/examples/src/prompts/http_response_output_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/http_response_output_parser.ts",
"repo_id": "langchainjs",
"token_count": 152
} | 857 |
<jupyter_start><jupyter_text>Sentence Transformers on Hugging Face>[Hugging Face sentence-transformers](https://huggingface.co/sentence-transformers) is a Python framework for state-of-the-art sentence, text and image embeddings.>One of the embedding models is used in the `HuggingFaceEmbeddings` class.>We have also add... | langchain/docs/docs/integrations/text_embedding/sentence_transformers.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/sentence_transformers.ipynb",
"repo_id": "langchain",
"token_count": 313
} | 167 |
# The Bellman Equation: simplify our value estimation [[bellman-equation]]
The Bellman equation **simplifies our state value or state-action value calculation.**
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/bellman.jpg" alt="Bellman equation"/>
With what w... | deep-rl-class/units/en/unit2/bellman-equation.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/bellman-equation.mdx",
"repo_id": "deep-rl-class",
"token_count": 1247
} | 176 |
import { resolve, dirname } from "node:path";
import { fileURLToPath } from "node:url";
/**
* @param {string} relativePath
* @returns {string}
*/
function abs(relativePath) {
return resolve(dirname(fileURLToPath(import.meta.url)), relativePath);
}
export const config = {
internals: [/node\:/, /@langchain\/cor... | langchainjs/libs/langchain-anthropic/langchain.config.js/0 | {
"file_path": "langchainjs/libs/langchain-anthropic/langchain.config.js",
"repo_id": "langchainjs",
"token_count": 170
} | 1,011 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package segments
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
mock "github.com/stretchr/testify/mock"
pkoracle "github.com/milvus-io/milvus/internal/quer... | milvus/internal/querynodev2/segments/mock_loader.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/mock_loader.go",
"repo_id": "milvus",
"token_count": 4275
} | 1,769 |
# 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/blenderbot_small/test_modeling_tf_blenderbot_small.py/0 | {
"file_path": "transformers/tests/models/blenderbot_small/test_modeling_tf_blenderbot_small.py",
"repo_id": "transformers",
"token_count": 4273
} | 704 |
// 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/cmd/components/query_coord.go/0 | {
"file_path": "milvus/cmd/components/query_coord.go",
"repo_id": "milvus",
"token_count": 776
} | 1,838 |
import os
import tempfile
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.unstructured import UnstructuredFileLoader
class TencentCOSFileLoader(BaseLoader):
"""Load fro... | langchain/libs/community/langchain_community/document_loaders/tencent_cos_file.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/tencent_cos_file.py",
"repo_id": "langchain",
"token_count": 726
} | 269 |
"""Chain for applying constitutional principles to the outputs of another chain."""
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langc... | langchain/libs/langchain/langchain/chains/constitutional_ai/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/constitutional_ai/base.py",
"repo_id": "langchain",
"token_count": 2888
} | 458 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,255 |
FROM python:3.11-buster
RUN pip install poetry==1.5.1
RUN poetry config virtualenvs.create false
COPY ./pyproject.toml ./poetry.lock* ./
RUN poetry install --no-interaction --no-ansi --no-root --no-directory
COPY ./*.py ./
RUN poetry install --no-interaction --no-ansi
CMD exec uvicorn main:app --host 0.0.0.0 --... | chat-langchain/Dockerfile/0 | {
"file_path": "chat-langchain/Dockerfile",
"repo_id": "chat-langchain",
"token_count": 128
} | 5 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,346 |
from langchain_community.tools.memorize.tool import Memorize, TrainableLLM
__all__ = ["TrainableLLM", "Memorize"]
| langchain/libs/langchain/langchain/tools/memorize/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/memorize/tool.py",
"repo_id": "langchain",
"token_count": 39
} | 560 |
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... | transformers/src/transformers/models/deprecated/transfo_xl/configuration_transfo_xl.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/transfo_xl/configuration_transfo_xl.py",
"repo_id": "transformers",
"token_count": 3230
} | 602 |
from llama_index.readers.twitter.base import TwitterTweetReader
__all__ = ["TwitterTweetReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,451 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/test_modeling_flax_common.py/0 | {
"file_path": "transformers/tests/test_modeling_flax_common.py",
"repo_id": "transformers",
"token_count": 25154
} | 859 |
// Audio processing code, adapted from whisper.cpp
// https://github.com/ggerganov/whisper.cpp
use candle::utils::get_num_threads;
use std::sync::Arc;
use std::thread;
pub trait Float:
num_traits::Float + num_traits::FloatConst + num_traits::NumAssign + Send + Sync
{
}
impl Float for f32 {}
impl Float for f64 {}... | candle/candle-transformers/src/models/whisper/audio.rs/0 | {
"file_path": "candle/candle-transformers/src/models/whisper/audio.rs",
"repo_id": "candle",
"token_count": 5281
} | 78 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,236 |
"""Loader that uses Playwright to load a page, then uses unstructured to load the html.
"""
import logging
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Dict, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
if TYPE_... | langchain/libs/community/langchain_community/document_loaders/url_playwright.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/url_playwright.py",
"repo_id": "langchain",
"token_count": 3611
} | 264 |
package model
import "github.com/milvus-io/milvus/internal/proto/querypb"
type CollectionLoadInfo struct {
CollectionID int64
PartitionIDs []int64
ReleasedPartitionIDs []int64
LoadType querypb.LoadType
LoadPercentage int64
Status querypb.LoadStatus
ReplicaNumber ... | milvus/internal/metastore/model/load_info.go/0 | {
"file_path": "milvus/internal/metastore/model/load_info.go",
"repo_id": "milvus",
"token_count": 257
} | 1,728 |
python_tests(
name="tests",
)
| llama_index/llama-index-finetuning/tests/gradient/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/gradient/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,337 |
# coding=utf-8
# Copyright 2021 The I-BERT Authors (Sehoon Kim, Amir Gholami, Zhewei Yao,
# Michael Mahoney, Kurt Keutzer - UC Berkeley) and The HuggingFace Inc. team.
# Copyright (c) 20121, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use t... | transformers/src/transformers/models/ibert/quant_modules.py/0 | {
"file_path": "transformers/src/transformers/models/ibert/quant_modules.py",
"repo_id": "transformers",
"token_count": 13544
} | 646 |
.. _Ref-Prompt-Helper:
PromptHelper
=================
.. automodule:: llama_index.core.indices.prompt_helper
:members:
:inherited-members:
| llama_index/docs/api_reference/service_context/prompt_helper.rst/0 | {
"file_path": "llama_index/docs/api_reference/service_context/prompt_helper.rst",
"repo_id": "llama_index",
"token_count": 56
} | 1,036 |
# IORedis
This example demonstrates how to setup chat history storage using the `RedisByteStore` `BaseStore` integration.
## Setup
```bash npm2yarn
npm install ioredis
```
## Usage
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/stores/ioredis_storage.ts";
<CodeBlock language="typescript"... | langchainjs/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx",
"repo_id": "langchainjs",
"token_count": 106
} | 711 |
<jupyter_start><jupyter_text>Qdrant Vector Store - Default Qdrant Filters Example on how to use Filters from the qdrant_client SDK directly in your Retriever / Query Engine<jupyter_code>%pip install llama-index-vector-stores-qdrant
!pip3 install llama-index qdrant_client
import openai
import qdrant_client
from IPython.... | llama_index/docs/examples/vector_stores/Qdrant_using_qdrant_filters.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/Qdrant_using_qdrant_filters.ipynb",
"repo_id": "llama_index",
"token_count": 1303
} | 1,148 |
# coding=utf-8
# Copyright 2022 The REALM 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/src/transformers/models/realm/retrieval_realm.py/0 | {
"file_path": "transformers/src/transformers/models/realm/retrieval_realm.py",
"repo_id": "transformers",
"token_count": 2788
} | 721 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,521 |
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