text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import { str } from "../utils/str";
// inlined from langchain/schema
interface BaseMessageFields {
content: string;
name?: string;
additional_kwargs?: {
[key: string]: unknown;
};
}
class AIMessageChunk {
/** The text of the message. */
content: string;
/** The name of the message sender in a multi... | langserve/langserve/playground/src/components/StreamOutput.tsx/0 | {
"file_path": "langserve/langserve/playground/src/components/StreamOutput.tsx",
"repo_id": "langserve",
"token_count": 1279
} | 1,013 |
package indexparamcheck
import (
"fmt"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
)
type floatVectorBaseChecker struct {
baseChecker
}
func (c floatVectorBaseChecker) staticCheck(params map[string]string) error {
if !CheckStrByValues(params, Metric, METRICS)... | milvus/pkg/util/indexparamcheck/float_vector_base_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/float_vector_base_checker.go",
"repo_id": "milvus",
"token_count": 422
} | 1,839 |
import jsonpointer from "jsonpointer";
import { Serializable } from "@langchain/core/load/serializable";
import { Tool, ToolParams } from "@langchain/core/tools";
export type Json =
| string
| number
| boolean
| null
| { [key: string]: Json }
| Json[];
export type JsonObject = { [key: string]: Json };
/*... | langchainjs/langchain/src/tools/json.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/json.ts",
"repo_id": "langchainjs",
"token_count": 1463
} | 942 |
## Token classification
Based on the scripts [`run_ner.py`](https://github.com/huggingface/transformers/blob/main/examples/legacy/token-classification/run_ner.py).
The following examples are covered in this section:
* NER on the GermEval 2014 (German NER) dataset
* Emerging and Rare Entities task: WNUT’17 (English N... | transformers/examples/legacy/token-classification/README.md/0 | {
"file_path": "transformers/examples/legacy/token-classification/README.md",
"repo_id": "transformers",
"token_count": 4550
} | 521 |
export * from "@langchain/core/tracers/console";
| langchainjs/langchain/src/callbacks/handlers/console.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/handlers/console.ts",
"repo_id": "langchainjs",
"token_count": 15
} | 858 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/it/create_a_model.md/0 | {
"file_path": "transformers/docs/source/it/create_a_model.md",
"repo_id": "transformers",
"token_count": 5838
} | 532 |
# 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/beit/convert_beit_unilm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/beit/convert_beit_unilm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 7533
} | 607 |
import os
from functools import partial, reduce
from typing import TYPE_CHECKING, Callable, Dict, Optional, Tuple, Type, Union
import transformers
from .. import PretrainedConfig, is_tf_available, is_torch_available
from ..utils import TF2_WEIGHTS_NAME, WEIGHTS_NAME, logging
from .config import OnnxConfig
if TYPE_C... | transformers/src/transformers/onnx/features.py/0 | {
"file_path": "transformers/src/transformers/onnx/features.py",
"repo_id": "transformers",
"token_count": 13911
} | 746 |
[tool.poetry]
name = "retrieval-agent-fireworks"
version = "0.0.1"
description = "Retrieval agent for open source models hosted on Fireworks"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
arxiv = "^2.0.0"
langchain-community = "^0.0.17"
langchainhub = "^0.1.14"... | langchain/templates/retrieval-agent-fireworks/pyproject.toml/0 | {
"file_path": "langchain/templates/retrieval-agent-fireworks/pyproject.toml",
"repo_id": "langchain",
"token_count": 322
} | 752 |
import { OpenAI, ChatOpenAI } from "@langchain/openai";
import * as process from "process";
import { SystemMessage, HumanMessage } from "@langchain/core/messages";
export const run = async () => {
process.env.LANGCHAIN_HANDLER = "langchain";
const model = new OpenAI({ temperature: 0.9 });
const resA = await mode... | langchainjs/examples/src/models/llm/llm_with_tracing.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_with_tracing.ts",
"repo_id": "langchainjs",
"token_count": 206
} | 809 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class PyTorchBenchmark(metaclass=DummyObject):
_backends = ["torch"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])
class PyTorchBenchmarkArguments... | transformers/src/transformers/utils/dummy_pt_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_pt_objects.py",
"repo_id": "transformers",
"token_count": 92051
} | 707 |
from langchain_community.llms.self_hosted import (
SelfHostedPipeline,
)
__all__ = ["SelfHostedPipeline"]
| langchain/libs/langchain/langchain/llms/self_hosted.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/self_hosted.py",
"repo_id": "langchain",
"token_count": 43
} | 543 |
import { Serializable } from "./load/serializable.js";
import { type BaseMessage, HumanMessage, AIMessage } from "./messages/index.js";
/**
* Base class for all chat message histories. All chat message histories
* should extend this class.
*/
export abstract class BaseChatMessageHistory extends Serializable {
pub... | langchainjs/langchain-core/src/chat_history.ts/0 | {
"file_path": "langchainjs/langchain-core/src/chat_history.ts",
"repo_id": "langchainjs",
"token_count": 731
} | 850 |
import logging
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import Generation, LLMResult
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils i... | langchain/libs/community/langchain_community/llms/clarifai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/clarifai.py",
"repo_id": "langchain",
"token_count": 3407
} | 279 |
package common
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestCloneByteSlice(t *testing.T) {
type args struct {
s ByteSlice
}
tests := []struct {
name string
args args
want ByteSlice
}{
{
args: args{s: []byte{0x0}},
want: []byte{0x0},
},
{
args: args{s: []byte{0xff}},... | milvus/pkg/common/byte_slice_test.go/0 | {
"file_path": "milvus/pkg/common/byte_slice_test.go",
"repo_id": "milvus",
"token_count": 376
} | 2,083 |
"""Integration tests for the langchain tracer module."""
import asyncio
from langchain_community.callbacks import get_openai_callback
from langchain_community.llms import OpenAI
async def test_openai_callback() -> None:
llm = OpenAI(temperature=0)
with get_openai_callback() as cb:
llm("What is the s... | langchain/libs/community/tests/integration_tests/callbacks/test_openai_callback.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/callbacks/test_openai_callback.py",
"repo_id": "langchain",
"token_count": 950
} | 316 |
"""Keep here for backwards compatibility."""
from langchain.chains.example_generator import generate_example
__all__ = ["generate_example"]
| langchain/libs/langchain/langchain/example_generator.py/0 | {
"file_path": "langchain/libs/langchain/langchain/example_generator.py",
"repo_id": "langchain",
"token_count": 36
} | 531 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,340 |
from langchain_core.caches import RETURN_VAL_TYPE, BaseCache
__all__ = ["BaseCache", "RETURN_VAL_TYPE"]
| langchain/libs/langchain/langchain/schema/cache.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/cache.py",
"repo_id": "langchain",
"token_count": 37
} | 545 |
---
apiVersion: v1
kind: Namespace
metadata:
name: logging
# create dameonset to rsync pod logs
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: cron-logging
namespace: logging
labels:
k8s-app: cron-logging
spec:
selector:
matchLabels:
k8s-app: cron-logging
template:
metadata:
... | milvus/build/config/logging/cron-logging.yaml/0 | {
"file_path": "milvus/build/config/logging/cron-logging.yaml",
"repo_id": "milvus",
"token_count": 493
} | 1,608 |
# coding=utf-8
# Copyright 2018 HuggingFace Inc. team.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | transformers/tests/models/cpm/test_tokenization_cpm.py/0 | {
"file_path": "transformers/tests/models/cpm/test_tokenization_cpm.py",
"repo_id": "transformers",
"token_count": 733
} | 709 |
python_sources()
| llama_index/llama-index-core/llama_index/core/service_context_elements/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/service_context_elements/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,177 |
<!--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/es/model_sharing.md/0 | {
"file_path": "transformers/docs/source/es/model_sharing.md",
"repo_id": "transformers",
"token_count": 3981
} | 503 |
# coding=utf-8
# Copyright 2021 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/beit/test_image_processing_beit.py/0 | {
"file_path": "transformers/tests/models/beit/test_image_processing_beit.py",
"repo_id": "transformers",
"token_count": 4624
} | 732 |
from llama_index.readers.file.docs.base import DocxReader, HWPReader, PDFReader
__all__ = ["DocxReader", "HWPReader", "PDFReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/__init__.py",
"repo_id": "llama_index",
"token_count": 49
} | 1,365 |
# LlamaIndex Vector_Stores Integration: Deeplake
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,600 |
# 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/models/rag/test_tokenization_rag.py/0 | {
"file_path": "transformers/tests/models/rag/test_tokenization_rag.py",
"repo_id": "transformers",
"token_count": 3143
} | 747 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/chat_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/chat_engine/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,184 |
// 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/segments/retrieve_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/retrieve_test.go",
"repo_id": "milvus",
"token_count": 2847
} | 1,777 |
# Introduction
<CourseFloatingBanner
unit={0}
classNames="absolute z-10 right-0 top-0"
/>
## Bienvenue au cours sur les modèles de diffusion 🤗 !
## À quoi s'attendre ?
In this free course, you will:
- 👩🎓 Study the theory behind diffusion models
- 🧨 Learn how to generate images and audio with the popula... | diffusion-models-class/units/fr/unit0/1.mdx/0 | {
"file_path": "diffusion-models-class/units/fr/unit0/1.mdx",
"repo_id": "diffusion-models-class",
"token_count": 1801
} | 285 |
package aliyun
import (
"os"
"testing"
"github.com/cockroachdb/errors"
"github.com/minio/minio-go/v7"
"github.com/minio/minio-go/v7/pkg/credentials"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/internal/storage/aliyun/mocks"
)
func TestNewMinioClient(t *testing.T) {
t.Run("ak sk ok", fu... | milvus/internal/storage/aliyun/aliyun_test.go/0 | {
"file_path": "milvus/internal/storage/aliyun/aliyun_test.go",
"repo_id": "milvus",
"token_count": 1431
} | 2,061 |
reviewers:
- congqixia
- jiaoew1991
- sunby
- weiliu1031
- yah01
- MrPresent-Han
approvers:
- maintainers
| milvus/internal/querycoordv2/balance/OWNERS/0 | {
"file_path": "milvus/internal/querycoordv2/balance/OWNERS",
"repo_id": "milvus",
"token_count": 55
} | 1,754 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def ffmpeg_read(bpayload: bytes, sampling_rate: int) -> np.array:
"""
Helper function to read an audio file through ffmpeg.
"""
ar... | transformers/src/transformers/pipelines/audio_utils.py/0 | {
"file_path": "transformers/src/transformers/pipelines/audio_utils.py",
"repo_id": "transformers",
"token_count": 3857
} | 776 |
// 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/mq/msgstream/mqwrapper/rmq/rmq_client.go/0 | {
"file_path": "milvus/internal/mq/msgstream/mqwrapper/rmq/rmq_client.go",
"repo_id": "milvus",
"token_count": 1612
} | 1,733 |
import requests
import argparse
from tenacity import retry, stop_after_attempt
@retry(stop=stop_after_attempt(7))
def get_image_tag_by_short_name(repository, tag, arch):
# Send API request to get all tags start with prefix
# ${branch}-latest means the tag is a dev build
# master-latest -> master-$dat... | milvus/tests/scripts/get_image_tag_by_short_name.py/0 | {
"file_path": "milvus/tests/scripts/get_image_tag_by_short_name.py",
"repo_id": "milvus",
"token_count": 1374
} | 2,048 |
"""Mix Self Consistency Query Engine.
All prompts adapted from original paper by Liu et al. (2023):
https://arxiv.org/pdf/2312.16702v1.pdf
"""
import asyncio
from enum import Enum
from typing import Any, Dict, List, Optional
import pandas as pd
from llama_index.core.base.response.schema import RESPONSE_TYPE
from lla... | llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/mix_self_consistency/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/mix_self_consistency/base.py",
"repo_id": "llama_index",
"token_count": 5709
} | 1,598 |
import { OpenAI } from "@langchain/openai";
// To make the caching really obvious, lets use a slower model.
const model = new OpenAI({
modelName: "gpt-3.5-turbo-instruct",
cache: true,
});
console.time();
// The first time, it is not yet in cache, so it should take longer
const res = await model.invoke("Tell me ... | langchainjs/examples/src/models/chat/llm_caching.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/llm_caching.ts",
"repo_id": "langchainjs",
"token_count": 171
} | 898 |
// 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/datanode/flow_graph_dd_node.go/0 | {
"file_path": "milvus/internal/datanode/flow_graph_dd_node.go",
"repo_id": "milvus",
"token_count": 4066
} | 1,783 |
""" Evaluation script for RAG models."""
import argparse
import ast
import logging
import os
import sys
import pandas as pd
import torch
from tqdm import tqdm
from transformers import BartForConditionalGeneration, RagRetriever, RagSequenceForGeneration, RagTokenForGeneration
from transformers import logging as trans... | transformers/examples/research_projects/rag-end2end-retriever/eval_rag.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/eval_rag.py",
"repo_id": "transformers",
"token_count": 4854
} | 596 |
from unittest import TestCase
from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class DatasetListTest(TestCase):
def _create_example_records(self):
return [
{"col_1": 3, "col_2": "a"},
{"col_1": 2, "col_2": "b"},
{"col_1": 1, "col_2": "c"}... | datasets/tests/test_dataset_list.py/0 | {
"file_path": "datasets/tests/test_dataset_list.py",
"repo_id": "datasets",
"token_count": 875
} | 153 |
# LlamaIndex Readers Integration: Milvus
| llama_index/llama-index-integrations/readers/llama-index-readers-milvus/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-milvus/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,484 |
# coding=utf-8
# Copyright 2022 The Hugging Face Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | transformers/tests/models/markuplm/test_modeling_markuplm.py/0 | {
"file_path": "transformers/tests/models/markuplm/test_modeling_markuplm.py",
"repo_id": "transformers",
"token_count": 6144
} | 720 |
import os
from typing import Any, Callable, Union
import pytest
from langchain_core.outputs import Generation
from langchain.cache import GPTCache
from langchain.globals import get_llm_cache, set_llm_cache
from tests.unit_tests.llms.fake_llm import FakeLLM
try:
from gptcache import Cache # noqa: F401
from g... | langchain/libs/langchain/tests/integration_tests/cache/test_gptcache.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/cache/test_gptcache.py",
"repo_id": "langchain",
"token_count": 827
} | 589 |
# RAG with Multiple Indexes (Fusion)
A QA application that queries multiple domain-specific retrievers and selects the most relevant documents from across all retrieved results.
## Environment Setup
This application queries PubMed, ArXiv, Wikipedia, and [Kay AI](https://www.kay.ai) (for SEC filings).
You will need ... | langchain/templates/rag-multi-index-fusion/README.md/0 | {
"file_path": "langchain/templates/rag-multi-index-fusion/README.md",
"repo_id": "langchain",
"token_count": 691
} | 736 |
# 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/src/transformers/training_args_seq2seq.py/0 | {
"file_path": "transformers/src/transformers/training_args_seq2seq.py",
"repo_id": "transformers",
"token_count": 1641
} | 769 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/generated/ExprVisitor.h/0 | {
"file_path": "milvus/internal/core/src/query/generated/ExprVisitor.h",
"repo_id": "milvus",
"token_count": 446
} | 1,743 |
from llama_index.readers.singlestore.base import SingleStoreReader
__all__ = ["SingleStoreReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-singlestore/llama_index/readers/singlestore/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-singlestore/llama_index/readers/singlestore/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,553 |
# AwaDB
>[AwaDB](https://github.com/awa-ai/awadb) is an AI Native database for the search and storage of embedding vectors used by LLM Applications.
## Installation and Setup
```bash
pip install awadb
```
## Vector Store
```python
from langchain_community.vectorstores import AwaDB
```
See a [usage example](/doc... | langchain/docs/docs/integrations/providers/awadb.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/awadb.md",
"repo_id": "langchain",
"token_count": 169
} | 141 |
"""
Pinecone Vector store index.
An index that is built on top of an existing vector store.
"""
import logging
from collections import Counter
from functools import partial
from typing import Any, Callable, Dict, List, Optional, cast
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/pinecone.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/pinecone.py",
"repo_id": "llama_index",
"token_count": 7103
} | 1,612 |
use fancy_regex::Regex;
use std::error::Error;
#[derive(Debug)]
pub struct SysRegex {
regex: Regex,
}
impl SysRegex {
pub fn find_iter<'r, 't>(&'r self, inside: &'t str) -> Matches<'r, 't> {
Matches(self.regex.find_iter(inside))
}
pub fn new(regex_str: &str) -> Result<Self, Box<dyn Error + Se... | tokenizers/tokenizers/src/utils/fancy.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/fancy.rs",
"repo_id": "tokenizers",
"token_count": 396
} | 424 |
from llama_index.storage.index_store.firestore.base import FirestoreIndexStore
__all__ = ["FirestoreIndexStore"]
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/llama_index/storage/index_store/firestore/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/llama_index/storage/index_store/firestore/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,460 |
<!---
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 ... | transformers/examples/flax/vision/README.md/0 | {
"file_path": "transformers/examples/flax/vision/README.md",
"repo_id": "transformers",
"token_count": 775
} | 539 |
/* eslint-disable no-process-env */
import { ConvexHttpClient } from "convex/browser";
import { expect, test } from "@jest/globals";
// eslint-disable-next-line import/no-relative-packages
import { api } from "./convex/convex/_generated/api.js";
// To run these tests at least once, follow these steps:
//
// 1. `cd l... | langchainjs/libs/langchain-community/src/vectorstores/tests/convex.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/convex.int.test.ts",
"repo_id": "langchainjs",
"token_count": 572
} | 996 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/task_index.go/0 | {
"file_path": "milvus/internal/proxy/task_index.go",
"repo_id": "milvus",
"token_count": 11197
} | 1,853 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/mix_self_consistency/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/llama_index/packs/tables/mix_self_consistency/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,681 |
from typing import Dict, Tuple, Union
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
class OpenSearchTranslator(Visitor):
"""Translate `OpenSearch` internal query domain-specific
language elements to valid f... | langchain/libs/langchain/langchain/retrievers/self_query/opensearch.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/opensearch.py",
"repo_id": "langchain",
"token_count": 1669
} | 538 |
# Reward Modeling
TRL supports custom reward modeling for anyone to perform reward modeling on their dataset and model.
Check out a complete flexible example at [`examples/scripts/reward_modeling.py`](https://github.com/huggingface/trl/tree/main/examples/scripts/reward_modeling.py).
## Expected dataset format
The [... | trl/docs/source/reward_trainer.mdx/0 | {
"file_path": "trl/docs/source/reward_trainer.mdx",
"repo_id": "trl",
"token_count": 877
} | 855 |
<jupyter_start><jupyter_text>MongoDB DemoThis guide shows you how to directly use our `DocumentStore` abstraction backed by MongoDB. By putting nodes in the docstore, this allows you to define multiple indices over the same underlying docstore, instead of duplicating data across indices. If you're opening this Notebook... | llama_index/docs/examples/docstore/MongoDocstoreDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/docstore/MongoDocstoreDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1413
} | 1,179 |
# 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/examples/legacy/seq2seq/utils.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/utils.py",
"repo_id": "transformers",
"token_count": 10920
} | 527 |
from rag_mongo.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-mongo/rag_mongo/__init__.py/0 | {
"file_path": "langchain/templates/rag-mongo/rag_mongo/__init__.py",
"repo_id": "langchain",
"token_count": 19
} | 694 |
<jupyter_start><jupyter_text>OpenAILet's load the OpenAI Embedding class. SetupFirst we install langchain-openai and set the required env vars<jupyter_code>%pip install -qU langchain-openai
import getpass
import os
os.environ["OPENAI_API_KEY"] = getpass.getpass()
from langchain_openai import OpenAIEmbeddings
embeddin... | langchain/docs/docs/integrations/text_embedding/openai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/openai.ipynb",
"repo_id": "langchain",
"token_count": 458
} | 176 |
# coding=utf-8
# Copyright 2022 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/yolos/convert_yolos_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/yolos/convert_yolos_to_pytorch.py",
"repo_id": "transformers",
"token_count": 5081
} | 682 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.upstash import UpstashVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in UpstashVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/tests/test_vector_stores_upstash.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/tests/test_vector_stores_upstash.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,541 |
from langchain_community.llms.javelin_ai_gateway import JavelinAIGateway, Params
__all__ = ["JavelinAIGateway", "Params"]
| langchain/libs/langchain/langchain/llms/javelin_ai_gateway.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/javelin_ai_gateway.py",
"repo_id": "langchain",
"token_count": 48
} | 562 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,535 |
from typing import List, Optional
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class RemoteLangChainRetriever(BaseR... | langchain/libs/community/langchain_community/retrievers/remote_retriever.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/remote_retriever.py",
"repo_id": "langchain",
"token_count": 788
} | 298 |
mod assignment;
mod config;
mod errors;
mod index;
mod ingest;
mod memberlist;
mod segment;
mod server;
mod storage;
mod sysdb;
mod system;
mod types;
use config::Configurable;
use memberlist::MemberlistProvider;
use crate::sysdb::sysdb::SysDb;
mod chroma_proto {
tonic::include_proto!("chroma");
}
pub async fn ... | chroma/rust/worker/src/lib.rs/0 | {
"file_path": "chroma/rust/worker/src/lib.rs",
"repo_id": "chroma",
"token_count": 1267
} | 62 |
from typing import List, Optional
from unittest.mock import MagicMock
import pytest
from fastapi import Request
from langchain.prompts import PromptTemplate
from langchain.schema.runnable.utils import ConfigurableField
from langserve.api_handler import _unpack_request_config
try:
from pydantic.v1 import BaseMode... | langserve/tests/unit_tests/test_validation.py/0 | {
"file_path": "langserve/tests/unit_tests/test_validation.py",
"repo_id": "langserve",
"token_count": 2412
} | 1,134 |
SHELL := /bin/bash
.PHONY: all format lint test tests integration_test integration_tests spell_check help
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
INTEGRATION_TEST_FILE ?= tests/integration_tests/
test:
poetry... | langchain/libs/partners/astradb/Makefile/0 | {
"file_path": "langchain/libs/partners/astradb/Makefile",
"repo_id": "langchain",
"token_count": 795
} | 641 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/tests/test_common_gpu.py/0 | {
"file_path": "peft/tests/test_common_gpu.py",
"repo_id": "peft",
"token_count": 13589
} | 339 |
<jupyter_start><jupyter_text>HuggingFace Hub Tools>[Huggingface Tools](https://huggingface.co/docs/transformers/v4.29.0/en/custom_tools) that supporting text I/O can beloaded directly using the `load_huggingface_tool` function.<jupyter_code># Requires transformers>=4.29.0 and huggingface_hub>=0.14.1
%pip install --upgr... | langchain/docs/docs/integrations/tools/huggingface_tools.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/huggingface_tools.ipynb",
"repo_id": "langchain",
"token_count": 207
} | 169 |
use crate::{
config::{Configurable, WorkerConfig},
errors::ChromaError,
sysdb::sysdb::{GrpcSysDb, SysDb},
types::VectorQueryResult,
};
use async_trait::async_trait;
use k8s_openapi::api::node;
use num_bigint::BigInt;
use parking_lot::{
MappedRwLockReadGuard, RwLock, RwLockReadGuard, RwLockUpgradable... | chroma/rust/worker/src/segment/segment_manager.rs/0 | {
"file_path": "chroma/rust/worker/src/segment/segment_manager.rs",
"repo_id": "chroma",
"token_count": 5283
} | 63 |
# 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... | accelerate/tests/test_data_loader.py/0 | {
"file_path": "accelerate/tests/test_data_loader.py",
"repo_id": "accelerate",
"token_count": 8488
} | 18 |
import { dot } from "@xenova/transformers";
import type { EmbeddingBackendModel } from "$lib/server/embeddingModels";
import type { Embedding } from "$lib/server/embeddingEndpoints/embeddingEndpoints";
// see here: https://github.com/nmslib/hnswlib/blob/359b2ba87358224963986f709e593d799064ace6/README.md?plain=1#L34
fu... | chat-ui/src/lib/server/sentenceSimilarity.ts/0 | {
"file_path": "chat-ui/src/lib/server/sentenceSimilarity.ts",
"repo_id": "chat-ui",
"token_count": 503
} | 92 |
import uuid
from langserve.callbacks import AsyncEventAggregatorCallback, replace_uuids
async def test_event_aggregator() -> None:
"""Test that the event aggregator is aggregating events."""
from langchain.llms import FakeListLLM
from langchain.prompts import ChatPromptTemplate
prompt = ChatPromptT... | langserve/tests/unit_tests/test_callbacks.py/0 | {
"file_path": "langserve/tests/unit_tests/test_callbacks.py",
"repo_id": "langserve",
"token_count": 782
} | 1,069 |
[tool.poetry]
name = "sql-ollama"
version = "0.1.0"
description = "Private QA with a SQL database using natural language and a local LLM"
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
[tool.poetry.group.dev.dependenci... | langchain/templates/sql-ollama/pyproject.toml/0 | {
"file_path": "langchain/templates/sql-ollama/pyproject.toml",
"repo_id": "langchain",
"token_count": 256
} | 709 |
# coding=utf-8
# Copyright 2022 Multimedia Computing Group, Nanjing University 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... | transformers/src/transformers/models/videomae/modeling_videomae.py/0 | {
"file_path": "transformers/src/transformers/models/videomae/modeling_videomae.py",
"repo_id": "transformers",
"token_count": 20402
} | 706 |
# Real-time RAG Chat Bot Evaluation
[](https://github.com/langchain-ai/langsmith-cookbook/tree/main/./feedback-examples/streamlit-realtime-feedback/README.md)
This tutorial shows how to catch model hallucinations in production using a cust... | langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/README.md/0 | {
"file_path": "langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/README.md",
"repo_id": "langsmith-cookbook",
"token_count": 2665
} | 1,057 |
poetry_requirements(
name="poetry",
module_mapping={"azure-search-documents": ["azure"]}
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/BUILD",
"repo_id": "llama_index",
"token_count": 59
} | 1,409 |
# 🦜️🔗 LangChain + Next.js Starter Template
[](https://codespaces.new/langchain-ai/langchain-nextjs-template)
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Fla... | langchain-nextjs-template/README.md/0 | {
"file_path": "langchain-nextjs-template/README.md",
"repo_id": "langchain-nextjs-template",
"token_count": 2082
} | 63 |
<jupyter_start><jupyter_text>Google Generative Language Semantic RetrieverIn this notebook, we will show you how to get started quickly with using Google's Generative Language Semantic Retriever, which offers specialized embedding models for high quality retrieval and a tuned model for producing grounded output with cu... | llama_index/docs/examples/managed/GoogleDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/managed/GoogleDemo.ipynb",
"repo_id": "llama_index",
"token_count": 6453
} | 1,148 |
import unittest
from typing import Any
from unittest.mock import MagicMock, patch
from langchain_community.graphs import NebulaGraph
class TestNebulaGraph(unittest.TestCase):
def setUp(self) -> None:
self.space = "test_space"
self.username = "test_user"
self.password = "test_password"
... | langchain/libs/community/tests/integration_tests/graphs/test_nebulagraph.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_nebulagraph.py",
"repo_id": "langchain",
"token_count": 1489
} | 354 |
python_sources()
python_requirement(
name="retrying",
requirements=["retrying>=1.3.4"],
)
| llama_index/llama-index-integrations/readers/llama-index-readers-confluence/llama_index/readers/confluence/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-confluence/llama_index/readers/confluence/BUILD",
"repo_id": "llama_index",
"token_count": 41
} | 1,350 |
# Memory Stress Testcases All-in-one
# memory stress
# standalone
# todo
# cluster-1-node
# 11 pods(querynode, datanode, indexnode, pulsar, etcd, minio)
# cluster-n-nodes
# todo
Collections:
-
testcase:
name: test_querynode_mem_stress
chaos: chaos_querynode_mem_stress.... | milvus/tests/python_client/chaos/chaos_objects/mem_stress/testcases.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/mem_stress/testcases.yaml",
"repo_id": "milvus",
"token_count": 1061
} | 1,954 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/storage/TencentCloudCredentialsProvider.h/0 | {
"file_path": "milvus/internal/core/src/storage/TencentCloudCredentialsProvider.h",
"repo_id": "milvus",
"token_count": 699
} | 1,944 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,596 |
"""**Utilities** are the integrations with third-part systems and packages.
Other LangChain classes use **Utilities** to interact with third-part systems
and packages.
"""
from typing import Any
from langchain_community.utilities.requests import (
Requests,
RequestsWrapper,
TextRequestsWrapper,
)
def _i... | langchain/libs/community/langchain_community/utilities/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/__init__.py",
"repo_id": "langchain",
"token_count": 4408
} | 313 |
from langchain.tools import BaseTool
from langchain.tools.render import render_text_description
from langchain_core.language_models.base import LanguageModelLike
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langgraph.checkpoint import BaseCheckpoi... | opengpts/backend/app/agent_types/xml_agent.py/0 | {
"file_path": "opengpts/backend/app/agent_types/xml_agent.py",
"repo_id": "opengpts",
"token_count": 2212
} | 1,993 |
# Database Tool
This tool connects to a database (using SQLAlchemy under the hood) and allows an Agent to query the database and get information about the tables.
## Usage
This tool has more extensive example usage documented in a Jupyter notebook [here](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/to... | llama_index/llama-index-integrations/tools/llama-index-tools-database/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-database/README.md",
"repo_id": "llama_index",
"token_count": 449
} | 1,483 |
from llama_index.llms.openai.base import AsyncOpenAI, OpenAI, SyncOpenAI, Tokenizer
__all__ = ["OpenAI", "Tokenizer", "SyncOpenAI", "AsyncOpenAI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 53
} | 1,364 |
"""Output parsers."""
from llama_index.legacy.output_parsers.base import ChainableOutputParser
from llama_index.legacy.output_parsers.guardrails import GuardrailsOutputParser
from llama_index.legacy.output_parsers.langchain import LangchainOutputParser
from llama_index.legacy.output_parsers.pydantic import PydanticOut... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/__init__.py",
"repo_id": "llama_index",
"token_count": 186
} | 1,509 |
/* eslint-disable no-process-env */
import { ChatOpenAI } from "@langchain/openai";
import { UpstashRedisCache } from "../upstash_redis.js";
/**
* This test is a result of the `lookup` method trying to parse an
* incorrectly typed value Before it was being typed as a string,
* whereas in reality it was a JSON objec... | langchainjs/libs/langchain-community/src/caches/tests/upstash_redis.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/caches/tests/upstash_redis.int.test.ts",
"repo_id": "langchainjs",
"token_count": 409
} | 960 |
from langchain_community.utilities.wikipedia import (
WikipediaAPIWrapper,
)
__all__ = ["WikipediaAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/wikipedia.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/wikipedia.py",
"repo_id": "langchain",
"token_count": 36
} | 597 |
"""Test TritonTensorRTLLM llm."""
import pytest
from langchain_nvidia_trt.llms import TritonTensorRTLLM
_MODEL_NAME = "ensemble"
@pytest.mark.skip(reason="Need a working Triton server")
def test_stream() -> None:
"""Test streaming tokens from NVIDIA TRT."""
llm = TritonTensorRTLLM(model_name=_MODEL_NAME)
... | langchain/libs/partners/nvidia-trt/tests/integration_tests/test_llms.py/0 | {
"file_path": "langchain/libs/partners/nvidia-trt/tests/integration_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 910
} | 658 |
package typeutil
import (
"testing"
"github.com/stretchr/testify/assert"
)
func TestOrderedMap(t *testing.T) {
o := NewOrderedMap[string, int]()
// number
o.Set("number", 3)
v, _ := o.Get("number")
assert.Equal(t, 3, v)
// overriding existing key
o.Set("number", 4)
v, _ = o.Get("number")
assert.Equal(t, ... | milvus/pkg/util/typeutil/ordered_map_test.go/0 | {
"file_path": "milvus/pkg/util/typeutil/ordered_map_test.go",
"repo_id": "milvus",
"token_count": 396
} | 2,068 |
python_sources()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,290 |
import logging
from typing import Any, Dict, Generator, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.agent.openai.utils import resolve_tool_choice
from llama_index.legacy.llms.llm import LLM
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.llms.openai_utils import OpenAIToo... | llama_index/llama-index-legacy/llama_index/legacy/program/openai_program.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/program/openai_program.py",
"repo_id": "llama_index",
"token_count": 4640
} | 1,695 |
from llama_index.callbacks.wandb.base import WandbCallbackHandler
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
def test_handler_callable():
names_of_base_classes = [b.__name__ for b in WandbCallbackHandler.__mro__]
assert BaseCallbackHandler.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/test_wandb_callback.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/test_wandb_callback.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,217 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py",
"repo_id": "diffusers",
"token_count": 7442
} | 287 |
"""Test Weaviate functionality."""
import logging
import os
import uuid
from typing import Generator, Union
from uuid import uuid4
import pytest
from langchain_core.documents import Document
from langchain_community.retrievers.weaviate_hybrid_search import (
WeaviateHybridSearchRetriever,
)
logging.basicConfig(l... | langchain/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py",
"repo_id": "langchain",
"token_count": 2174
} | 365 |
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