text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_core.runnables import __all__
EXPECTED_ALL = [
"chain",
"AddableDict",
"ConfigurableField",
"ConfigurableFieldSingleOption",
"ConfigurableFieldMultiOption",
"ConfigurableFieldSpec",
"ensure_config",
"run_in_executor",
"patch_config",
"RouterInput",
"RouterRunn... | langchain/libs/core/tests/unit_tests/runnables/test_imports.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/runnables/test_imports.py",
"repo_id": "langchain",
"token_count": 346
} | 449 |
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class UnstructuredURLLoader(BaseLoader):
"""Load files from rem... | langchain/libs/community/langchain_community/document_loaders/url.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/url.py",
"repo_id": "langchain",
"token_count": 2772
} | 264 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/utils/add_pipeline_model_mapping_to_test.py/0 | {
"file_path": "transformers/utils/add_pipeline_model_mapping_to_test.py",
"repo_id": "transformers",
"token_count": 5411
} | 809 |
from __future__ import annotations
from typing import Any, Dict, List, Optional, cast
from uuid import uuid4
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import root_validator
from langchain_core.retrievers import Bas... | langchain/libs/community/langchain_community/retrievers/weaviate_hybrid_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/weaviate_hybrid_search.py",
"repo_id": "langchain",
"token_count": 2678
} | 280 |
def _format_docs(docs):
result = "\n".join(
[
f'<item index="{i+1}">\n<page_content>\n{r}\n</page_content>\n</item>'
for i, r in enumerate(docs)
]
)
return result
def format_agent_scratchpad(intermediate_steps):
thoughts = ""
for action, observation in inter... | langchain/templates/anthropic-iterative-search/anthropic_iterative_search/agent_scratchpad.py/0 | {
"file_path": "langchain/templates/anthropic-iterative-search/anthropic_iterative_search/agent_scratchpad.py",
"repo_id": "langchain",
"token_count": 200
} | 700 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/examples/feature_extraction/peft_lora_embedding_semantic_search.py/0 | {
"file_path": "peft/examples/feature_extraction/peft_lora_embedding_semantic_search.py",
"repo_id": "peft",
"token_count": 8602
} | 299 |
"""Init params."""
| llama_index/llama-index-legacy/llama_index/legacy/readers/file/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/file/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,760 |
// 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/util/importutil/json_handler_test.go/0 | {
"file_path": "milvus/internal/util/importutil/json_handler_test.go",
"repo_id": "milvus",
"token_count": 7630
} | 1,870 |
<jupyter_start><jupyter_text>Modèles (TensorFlow) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import CamembertConfig, TFCamembertModel
# Construire la configuration
config = CamembertConfig()
# Construire le modèle à ... | notebooks/course/fr/chapter2/section3_tf.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section3_tf.ipynb",
"repo_id": "notebooks",
"token_count": 351
} | 297 |
<jupyter_start> | langchain/docs/docs/integrations/document_loaders/microsoft_sharepoint.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/microsoft_sharepoint.ipynb",
"repo_id": "langchain",
"token_count": 8
} | 118 |
import argparse
import functools
import json
import os
from operator import itemgetter
from typing import Literal, Optional, Union
import weaviate
from langchain import load as langchain_load
from langchain.chat_models import ChatAnthropic, ChatOpenAI
from langchain.embeddings import OpenAIEmbeddings
from langchain.pr... | chat-langchain/_scripts/evaluate_chains.py/0 | {
"file_path": "chat-langchain/_scripts/evaluate_chains.py",
"repo_id": "chat-langchain",
"token_count": 2654
} | 5 |
import pytest
from llama_index.legacy.node_parser.relational.unstructured_element import (
UnstructuredElementNodeParser,
)
from llama_index.legacy.schema import Document, IndexNode, TextNode
try:
from unstructured.partition.html import partition_html
except ImportError:
partition_html = None # type: igno... | llama_index/llama-index-legacy/tests/node_parser/test_unstructured.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/node_parser/test_unstructured.py",
"repo_id": "llama_index",
"token_count": 1511
} | 1,673 |
package model
import (
"testing"
)
func TestCheckPartitionsEqual(t *testing.T) {
type args struct {
partitionsA []*Partition
partitionsB []*Partition
}
tests := []struct {
name string
args args
want bool
}{
{
// length not match.
args: args{
partitionsA: []*Partition{{PartitionName: "_defau... | milvus/internal/metastore/model/partition_test.go/0 | {
"file_path": "milvus/internal/metastore/model/partition_test.go",
"repo_id": "milvus",
"token_count": 444
} | 1,999 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/event_data.go/0 | {
"file_path": "milvus/internal/storage/event_data.go",
"repo_id": "milvus",
"token_count": 4527
} | 2,063 |
import {
AgentTrajectoryEvaluator,
LLMPairwiseStringEvaluator,
LLMStringEvaluator,
PairwiseStringEvaluator,
StringEvaluator,
} from "./base.js";
export interface EvaluatorType {
/**
* The criteria evaluator, which evaluates a model based on a
* custom set of criteria without any reference labels.
... | langchainjs/langchain/src/evaluation/types.ts/0 | {
"file_path": "langchainjs/langchain/src/evaluation/types.ts",
"repo_id": "langchainjs",
"token_count": 406
} | 918 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{test_utils::to_vec2_round, DType, Device, Result, Tensor};
use candle_nn::RNN;
/* The following test can be verified against PyTorch using the following snippet.
import torch
from torch import... | candle/candle-nn/tests/rnn.rs/0 | {
"file_path": "candle/candle-nn/tests/rnn.rs",
"repo_id": "candle",
"token_count": 2010
} | 59 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Lawatan cepat
- local: installation
title: Pemasangan
title: Mulakan
- sections:
- local: pipeline_tutorial
title: Jalankan inferens dengan saluran paip
- local: autoclass_tutorial
title: Tuli... | transformers/docs/source/ms/_toctree.yml/0 | {
"file_path": "transformers/docs/source/ms/_toctree.yml",
"repo_id": "transformers",
"token_count": 12527
} | 545 |
# XML output parser
The `XMLOutputParser` takes language model output which contains XML and parses it into a JSON object.
The output parser also supports streaming outputs.
Currently, the XML parser does not contain support for self closing tags, or attributes on tags.
## Usage
import CodeBlock from "@theme/CodeB... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/xml.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/xml.mdx",
"repo_id": "langchainjs",
"token_count": 238
} | 739 |
import { AmazonKnowledgeBaseRetriever } from "@langchain/community/retrievers/amazon_knowledge_base";
const retriever = new AmazonKnowledgeBaseRetriever({
topK: 10,
knowledgeBaseId: "YOUR_KNOWLEDGE_BASE_ID",
region: "us-east-2",
clientOptions: {
credentials: {
accessKeyId: "YOUR_ACCESS_KEY_ID",
... | langchainjs/examples/src/retrievers/amazon_knowledge_bases.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/amazon_knowledge_bases.ts",
"repo_id": "langchainjs",
"token_count": 175
} | 846 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.stock_market_data_query_engine import (
StockMarketDataQueryEnginePack,
)
def test_class():
names_of_base_classes = [b.__name__ for b in StockMarketDataQueryEnginePack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_class... | llama_index/llama-index-packs/llama-index-packs-stock-market-data-query-engine/tests/test_packs_stock_market_data_query_engine.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-stock-market-data-query-engine/tests/test_packs_stock_market_data_query_engine.py",
"repo_id": "llama_index",
"token_count": 114
} | 1,686 |
import { writable } from "svelte/store";
export const ERROR_MESSAGES = {
default: "Oops, something went wrong.",
authOnly: "You have to be logged in.",
rateLimited: "You are sending too many messages. Try again later.",
};
export const error = writable<string | null>(null);
| chat-ui/src/lib/stores/errors.ts/0 | {
"file_path": "chat-ui/src/lib/stores/errors.ts",
"repo_id": "chat-ui",
"token_count": 85
} | 101 |
# rag-gpt-crawler
GPT-crawler will crawl websites to produce files for use in custom GPTs or other apps (RAG).
This template uses [gpt-crawler](https://github.com/BuilderIO/gpt-crawler) to build a RAG app
## Environment Setup
Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
## Crawling
... | langchain/templates/rag-gpt-crawler/README.md/0 | {
"file_path": "langchain/templates/rag-gpt-crawler/README.md",
"repo_id": "langchain",
"token_count": 845
} | 658 |
# 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/modeling_flax_pytorch_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_flax_pytorch_utils.py",
"repo_id": "transformers",
"token_count": 9864
} | 602 |
package balance
import (
"math"
"math/rand"
"sort"
"time"
"github.com/samber/lo"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/internal/querycoordv2/meta"
"github.com/milvus-io/milvus/internal/querycoordv2/params"
"github.com/milvus-io/milvus/internal/qu... | milvus/internal/querycoordv2/balance/multi_target_balance.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/multi_target_balance.go",
"repo_id": "milvus",
"token_count": 7065
} | 1,891 |
import { LlamaCpp } from "@langchain/community/llms/llama_cpp";
const llamaPath = "/Replace/with/path/to/your/model/gguf-llama2-q4_0.bin";
const question = "Where do Llamas come from?";
const model = new LlamaCpp({ modelPath: llamaPath });
console.log(`You: ${question}`);
const response = await model.invoke(question... | langchainjs/examples/src/models/llm/llama_cpp.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llama_cpp.ts",
"repo_id": "langchainjs",
"token_count": 128
} | 842 |
"""LLM predictor tests."""
from typing import Any
from unittest.mock import patch
from llama_index.legacy.llm_predictor.structured import (
LLMPredictor,
StructuredLLMPredictor,
)
from llama_index.legacy.prompts import BasePromptTemplate
from llama_index.legacy.prompts.base import PromptTemplate
from llama_in... | llama_index/llama-index-legacy/tests/llm_predictor/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llm_predictor/test_base.py",
"repo_id": "llama_index",
"token_count": 548
} | 1,639 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/fuyu/image_processing_fuyu.py/0 | {
"file_path": "transformers/src/transformers/models/fuyu/image_processing_fuyu.py",
"repo_id": "transformers",
"token_count": 14899
} | 692 |
label: 'Multimodal embedding models'
position: 0 | langchainjs/docs/core_docs/docs/modules/data_connection/experimental/multimodal_embeddings/_category_.yml/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/experimental/multimodal_embeddings/_category_.yml",
"repo_id": "langchainjs",
"token_count": 15
} | 787 |
[
{
"deploy_mode": "cluster",
"server": "idc-sh002",
"suite_params": [
{
"suite": "2_insert_search_sift10m_2048.yaml",
"image_type": "cpu"
}
]
},
{
"server": "idc-sh005",
"suite_params": [
{
... | milvus/tests/benchmark/milvus_benchmark/scheduler/2_data.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/2_data.json",
"repo_id": "milvus",
"token_count": 516
} | 1,867 |
from llama_index.packs.multi_document_agents.base import MultiDocumentAgentsPack
__all__ = ["MultiDocumentAgentsPack"]
| llama_index/llama-index-packs/llama-index-packs-multi-document-agents/llama_index/packs/multi_document_agents/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/llama_index/packs/multi_document_agents/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,665 |
from langchain_community.document_transformers.embeddings_redundant_filter import (
EmbeddingsClusteringFilter,
EmbeddingsRedundantFilter,
_DocumentWithState,
_filter_similar_embeddings,
_get_embeddings_from_stateful_docs,
get_stateful_documents,
)
__all__ = [
"EmbeddingsRedundantFilter",
... | langchain/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py",
"repo_id": "langchain",
"token_count": 189
} | 494 |
import { SerializedConstitutionalPrinciple } from "../serde.js";
/**
* Class representing a constitutional principle with critique request,
* revision request, and name properties.
* @example
* ```typescript
* const principle = new ConstitutionalPrinciple({
* name: "Ethical Principle",
* critiqueRequest: "T... | langchainjs/langchain/src/chains/constitutional_ai/constitutional_principle.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/constitutional_ai/constitutional_principle.ts",
"repo_id": "langchainjs",
"token_count": 6608
} | 890 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/gpt_neo.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/gpt_neo.md",
"repo_id": "transformers",
"token_count": 1582
} | 506 |
import { VectorStore } from "@langchain/core/vectorstores";
import { v5 as uuidv5 } from "uuid";
import {
RecordManagerInterface,
UUIDV5_NAMESPACE,
} from "@langchain/community/indexes/base";
import { insecureHash } from "@langchain/core/utils/hash";
import { DocumentInterface } from "@langchain/core/documents";
im... | langchainjs/langchain/src/indexes/indexing.ts/0 | {
"file_path": "langchainjs/langchain/src/indexes/indexing.ts",
"repo_id": "langchainjs",
"token_count": 3858
} | 913 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/event_writer_test.go/0 | {
"file_path": "milvus/internal/storage/event_writer_test.go",
"repo_id": "milvus",
"token_count": 1214
} | 1,861 |
import enum
import warnings
from ..utils import add_end_docstrings, is_tf_available, is_torch_available
from .base import Pipeline, build_pipeline_init_args
if is_torch_available():
from ..models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
if is_tf_available():
import tensorflow as tf
f... | transformers/src/transformers/pipelines/text_generation.py/0 | {
"file_path": "transformers/src/transformers/pipelines/text_generation.py",
"repo_id": "transformers",
"token_count": 6925
} | 708 |
import types
import warnings
from typing import List, Optional, Tuple, Union
import numpy as np
from ..models.bert.tokenization_bert import BasicTokenizer
from ..utils import (
ExplicitEnum,
add_end_docstrings,
is_tf_available,
is_torch_available,
)
from .base import ArgumentHandler, ChunkPipeline, Da... | transformers/src/transformers/pipelines/token_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/token_classification.py",
"repo_id": "transformers",
"token_count": 11839
} | 687 |
import { ChatLlamaCpp } from "@langchain/community/chat_models/llama_cpp";
import { SystemMessage, HumanMessage } from "@langchain/core/messages";
const llamaPath = "/Replace/with/path/to/your/model/gguf-llama2-q4_0.bin";
const model = new ChatLlamaCpp({ modelPath: llamaPath });
const response = await model.call([
... | langchainjs/examples/src/models/chat/integration_llama_cpp_system.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_llama_cpp_system.ts",
"repo_id": "langchainjs",
"token_count": 323
} | 896 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,550 |
{
"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"
},
{
"id": 2009,... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama.json",
"repo_id": "text-generation-inference",
"token_count": 1050
} | 362 |
kind: NetworkChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-etcd-network-latency
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
app.kubernetes.io/name: etcd
mode: all
action: delay
delay:... | milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_etcd_network_latency.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_latency/chaos_etcd_network_latency.yaml",
"repo_id": "milvus",
"token_count": 235
} | 1,895 |
"""Module contains logic for indexing documents into vector stores."""
from __future__ import annotations
import hashlib
import json
import uuid
from itertools import islice
from typing import (
Any,
AsyncIterable,
AsyncIterator,
Callable,
Dict,
Iterable,
Iterator,
List,
Literal,
... | langchain/libs/langchain/langchain/indexes/_api.py/0 | {
"file_path": "langchain/libs/langchain/langchain/indexes/_api.py",
"repo_id": "langchain",
"token_count": 9441
} | 510 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,264 |
import csv
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class CoNLLULoader(BaseLoader):
"""Load `CoNLL-U` files."""
def __init__(self, file_path: str):
"""Initialize with a file path."""
self.file_path... | langchain/libs/community/langchain_community/document_loaders/conllu.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/conllu.py",
"repo_id": "langchain",
"token_count": 453
} | 233 |
# List parser
This output parser can be used when you want to return a list of comma-separated items.
import CodeBlock from "@theme/CodeBlock";
import Comma from "@examples/prompts/comma_list_parser_sequence.ts";
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationIn... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/csv.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/csv.mdx",
"repo_id": "langchainjs",
"token_count": 144
} | 763 |
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
Adapted From Facebook Inc, Detectron2
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/license... | transformers/examples/research_projects/visual_bert/visualizing_image.py/0 | {
"file_path": "transformers/examples/research_projects/visual_bert/visualizing_image.py",
"repo_id": "transformers",
"token_count": 8182
} | 579 |
import { DataSource } from "typeorm";
import { OpenAI } from "@langchain/openai";
import { SqlDatabase } from "langchain/sql_db";
import { SqlDatabaseChain } from "langchain/chains/sql_db";
/**
* This example uses Chinook database, which is a sample database available for SQL Server, Oracle, MySQL, etc.
* To set it ... | langchainjs/examples/src/chains/sql_db_legacy.ts/0 | {
"file_path": "langchainjs/examples/src/chains/sql_db_legacy.ts",
"repo_id": "langchainjs",
"token_count": 250
} | 764 |
declare interface ParseOptions {
filename?: string;
startRule?: "Start";
tracer?: any;
[key: string]: any;
}
declare type ParseFunction = <Options extends ParseOptions>(
input: string,
options?: Options
) => Options extends { startRule: infer StartRule }
? StartRule extends "Start"
? Start
: Start... | langchainjs/libs/langchain-community/src/types/expression-parser.d.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/types/expression-parser.d.ts",
"repo_id": "langchainjs",
"token_count": 839
} | 1,044 |
python_sources()
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/main_content_extractor/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/main_content_extractor/BUILD",
"repo_id": "llama_index",
"token_count": 24
} | 1,390 |
// 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/indexnode/indexnode_service.go/0 | {
"file_path": "milvus/internal/indexnode/indexnode_service.go",
"repo_id": "milvus",
"token_count": 4629
} | 1,793 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,457 |
"""CouchDB client."""
import json
import logging
from typing import Dict, List, Optional
import couchdb3
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class SimpleCouchDBReader(BaseReader):
"""Simple CouchDB reader.
Concatenates each CouchDB doc into Docu... | llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/llama_index/readers/couchdb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/llama_index/readers/couchdb/base.py",
"repo_id": "llama_index",
"token_count": 1238
} | 1,279 |
import { ChatOpenAI } from "@langchain/openai";
import { ChatAnthropic } from "@langchain/anthropic";
// Use a fake model name that will always throw an error
const fakeOpenAIModel = new ChatOpenAI({
modelName: "potato!",
maxRetries: 0,
});
const anthropicModel = new ChatAnthropic({});
const modelWithFallback = ... | langchainjs/examples/src/guides/fallbacks/model.ts/0 | {
"file_path": "langchainjs/examples/src/guides/fallbacks/model.ts",
"repo_id": "langchainjs",
"token_count": 194
} | 780 |
CREATE VIRTUAL TABLE embedding_fulltext_search USING fts5(string_value, tokenize='trigram');
INSERT INTO embedding_fulltext_search (rowid, string_value) SELECT rowid, string_value FROM embedding_metadata;
DROP TABLE embedding_fulltext;
| chroma/chromadb/migrations/metadb/00003-full-text-tokenize.sqlite.sql/0 | {
"file_path": "chroma/chromadb/migrations/metadb/00003-full-text-tokenize.sqlite.sql",
"repo_id": "chroma",
"token_count": 73
} | 17 |
"""Init file."""
| llama_index/llama-index-core/tests/embeddings/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/embeddings/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,185 |
<jupyter_start><jupyter_text>Using toolsYou can use any Tools with Runnables easily.<jupyter_code>%pip install --upgrade --quiet langchain langchain-openai duckduckgo-search
from langchain.tools import DuckDuckGoSearchRun
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import Chat... | langchain/docs/docs/expression_language/cookbook/tools.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/cookbook/tools.ipynb",
"repo_id": "langchain",
"token_count": 216
} | 84 |
from langchain.retrievers.document_compressors.base import DocumentCompressorPipeline
from langchain.retrievers.document_compressors.chain_extract import (
LLMChainExtractor,
)
from langchain.retrievers.document_compressors.chain_filter import (
LLMChainFilter,
)
from langchain.retrievers.document_compressors.c... | langchain/libs/langchain/langchain/retrievers/document_compressors/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/document_compressors/__init__.py",
"repo_id": "langchain",
"token_count": 246
} | 533 |
// 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/mq/msgstream/msgstream_util.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/msgstream_util.go",
"repo_id": "milvus",
"token_count": 738
} | 2,099 |
"""Test object index."""
from llama_index.legacy.indices.list.base import SummaryIndex
from llama_index.legacy.objects.base import ObjectIndex
from llama_index.legacy.objects.base_node_mapping import SimpleObjectNodeMapping
from llama_index.legacy.objects.tool_node_mapping import SimpleToolNodeMapping
from llama_index... | llama_index/llama-index-legacy/tests/objects/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/objects/test_base.py",
"repo_id": "llama_index",
"token_count": 981
} | 1,628 |
import * as url from "node:url";
import * as path from "node:path";
import * as fs from "node:fs/promises";
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { JSONLoader } from "../fs/json.js";
test("Test JSON loader from blob", async () => {
const filePath =... | langchainjs/langchain/src/document_loaders/tests/json-blob.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/json-blob.test.ts",
"repo_id": "langchainjs",
"token_count": 1146
} | 908 |
python_sources()
| llama_index/llama-index-core/llama_index/core/indices/list/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/list/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,179 |
#![allow(unused)]
use anyhow::{Context, Result};
use std::io::Write;
use std::path::PathBuf;
struct KernelDirectories {
kernel_glob: &'static str,
rust_target: &'static str,
include_dirs: &'static [&'static str],
}
const KERNEL_DIRS: [KernelDirectories; 1] = [KernelDirectories {
kernel_glob: "examples... | candle/candle-examples/build.rs/0 | {
"file_path": "candle/candle-examples/build.rs",
"repo_id": "candle",
"token_count": 391
} | 42 |
[package]
name = "text-generation-router"
description = "Text Generation Webserver"
build = "build.rs"
version.workspace = true
edition.workspace = true
authors.workspace = true
homepage.workspace = true
[lib]
path = "src/lib.rs"
[[bin]]
name = "text-generation-router"
path = "src/main.rs"
[dependencies]
async-strea... | text-generation-inference/router/Cargo.toml/0 | {
"file_path": "text-generation-inference/router/Cargo.toml",
"repo_id": "text-generation-inference",
"token_count": 739
} | 415 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.tables import ChainOfTablePack, MixSelfConsistencyPack
def test_class():
names_of_base_classes = [b.__name__ for b in ChainOfTablePack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
names_of_base_classes = [b.__... | llama_index/llama-index-packs/llama-index-packs-tables/tests/test_packs_tables.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/tests/test_packs_tables.py",
"repo_id": "llama_index",
"token_count": 157
} | 1,690 |
"""Embeddings."""
from llama_index.core.callbacks.schema import CBEventType
from llama_index.core.callbacks.token_counting import TokenCountingHandler
TEST_PAYLOAD = {"chunks": ["one"], "formatted_prompt": "two", "response": "three"}
TEST_ID = "my id"
def test_on_event_start() -> None:
"""Test event start."""
... | llama_index/llama-index-core/tests/callbacks/test_token_counter.py/0 | {
"file_path": "llama_index/llama-index-core/tests/callbacks/test_token_counter.py",
"repo_id": "llama_index",
"token_count": 605
} | 1,215 |
# cassandra-entomology-rag
This template will perform RAG using Apache Cassandra® or Astra DB through CQL (`Cassandra` vector store class)
## Environment Setup
For the setup, you will require:
- an [Astra](https://astra.datastax.com) Vector Database. You must have a [Database Administrator token](https://awesome-as... | langchain/templates/cassandra-entomology-rag/README.md/0 | {
"file_path": "langchain/templates/cassandra-entomology-rag/README.md",
"repo_id": "langchain",
"token_count": 887
} | 702 |
<jupyter_start><jupyter_text>JSON EvaluatorsEvaluating [extraction](https://python.langchain.com/docs/use_cases/extraction) and function calling applications often comes down to validation that the LLM's string output can be parsed correctly and how it compares to a reference object. The following `JSON` validators pro... | langchain/docs/docs/guides/evaluation/string/json.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/string/json.ipynb",
"repo_id": "langchain",
"token_count": 1483
} | 94 |
from sql_research_assistant.chain import chain
__all__ = ["chain"]
| langchain/templates/sql-research-assistant/sql_research_assistant/__init__.py/0 | {
"file_path": "langchain/templates/sql-research-assistant/sql_research_assistant/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 686 |
from langchain.schema.vectorstore import __all__
EXPECTED_ALL = ["VectorStore", "VectorStoreRetriever", "VST"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_vectorstore.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_vectorstore.py",
"repo_id": "langchain",
"token_count": 70
} | 653 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/qdrant",
});
export * from "@langchain/community/vectorstores/qdrant";
| langchainjs/langchain/src/vectorstores/qdrant.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/qdrant.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 983 |
<jupyter_start><jupyter_text>Multi-Modal Retrieval using GPT text embedding and CLIP image embedding for Wikipedia ArticlesIn this notebook, we show how to build a Multi-Modal retrieval system using LlamaIndex.Wikipedia Text embedding index: Generate GPT text embeddings from OpenAI for textsWikipedia Images embedding i... | llama_index/docs/examples/multi_modal/multi_modal_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/multi_modal_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 3541
} | 1,074 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-ollama-query-engine/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,582 |
from llama_index.readers.snowflake.base import SnowflakeReader
__all__ = ["SnowflakeReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-snowflake/llama_index/readers/snowflake/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-snowflake/llama_index/readers/snowflake/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,383 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/loaders/single_file.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/single_file.md",
"repo_id": "diffusers",
"token_count": 479
} | 176 |
// 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/accesslog/global.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/global.go",
"repo_id": "milvus",
"token_count": 1108
} | 1,875 |
<script lang="ts">
export let classNames = "";
</script>
<svg
width="1em"
height="1em"
viewBox="0 0 15 6"
class={classNames}
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M1.67236 1L7.67236 7L13.6724 1"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
... | chat-ui/src/lib/components/icons/IconChevron.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconChevron.svelte",
"repo_id": "chat-ui",
"token_count": 156
} | 94 |
import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
import llama_index.legacy
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.embeddings.base import BaseEmbedding
from llama_ind... | llama_index/llama-index-legacy/llama_index/legacy/service_context.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/service_context.py",
"repo_id": "llama_index",
"token_count": 6690
} | 1,601 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,327 |
// 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/metrics_info.go/0 | {
"file_path": "milvus/internal/querynodev2/metrics_info.go",
"repo_id": "milvus",
"token_count": 2650
} | 2,043 |
from llama_index.readers.hive.base import HiveReader
__all__ = ["HiveReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-hive/llama_index/readers/hive/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hive/llama_index/readers/hive/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,334 |
# SingleStoreDB
>[SingleStoreDB](https://singlestore.com/) is a high-performance distributed SQL database that supports deployment both in the [cloud](https://www.singlestore.com/cloud/) and on-premises. It provides vector storage, and vector functions including [dot_product](https://docs.singlestore.com/managed-servi... | langchain/docs/docs/integrations/providers/singlestoredb.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/singlestoredb.mdx",
"repo_id": "langchain",
"token_count": 318
} | 149 |
# coding=utf-8
# Copyright 2018 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 License.
# You may obtain a copy of the License at
#
# http://www.a... | transformers/src/transformers/benchmark/benchmark_tf.py/0 | {
"file_path": "transformers/src/transformers/benchmark/benchmark_tf.py",
"repo_id": "transformers",
"token_count": 6063
} | 556 |
// 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/meta_test.go/0 | {
"file_path": "milvus/internal/datacoord/meta_test.go",
"repo_id": "milvus",
"token_count": 14175
} | 1,963 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/vitmatte/image_processing_vitmatte.py/0 | {
"file_path": "transformers/src/transformers/models/vitmatte/image_processing_vitmatte.py",
"repo_id": "transformers",
"token_count": 5615
} | 712 |
# AI21 Labs
This page covers how to use the AI21 ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific AI21 wrappers.
## Installation and Setup
- Get an AI21 api key and set it as an environment variable (`AI21_API_KEY`)
## Wrappers
### LLM
There exists an... | langchain/docs/docs/integrations/providers/ai21.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/ai21.mdx",
"repo_id": "langchain",
"token_count": 120
} | 127 |
# 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/maskformer/test_modeling_maskformer.py/0 | {
"file_path": "transformers/tests/models/maskformer/test_modeling_maskformer.py",
"repo_id": "transformers",
"token_count": 10413
} | 721 |
// 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/mq/msgstream/mq_factory_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mq_factory_test.go",
"repo_id": "milvus",
"token_count": 1552
} | 1,897 |
import uuid
from typing import Optional
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores import Qdrant
from tests.integration_tests.vectorstores.fake_embeddings import (
ConsistentFakeEmbeddings,
)
from tests.integration_tests.vectorstores.qdrant.common import asse... | langchain/libs/community/tests/integration_tests/vectorstores/qdrant/test_add_texts.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/qdrant/test_add_texts.py",
"repo_id": "langchain",
"token_count": 1894
} | 354 |
from langchain_community.document_loaders.s3_directory import S3DirectoryLoader
__all__ = ["S3DirectoryLoader"]
| langchain/libs/langchain/langchain/document_loaders/s3_directory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/s3_directory.py",
"repo_id": "langchain",
"token_count": 33
} | 515 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/text_to_image/train_text_to_image_lora_sdxl.py/0 | {
"file_path": "diffusers/examples/text_to_image/train_text_to_image_lora_sdxl.py",
"repo_id": "diffusers",
"token_count": 24509
} | 222 |
// Default generic "any" values are for backwards compatibility.
// Replace with "string" when we are comfortable with a breaking change.
import { BaseStringPromptTemplate } from "./string.js";
import type {
BasePromptTemplateInput,
TypedPromptInputValues,
} from "./base.js";
import {
checkValidTemplate,
parse... | langchainjs/langchain-core/src/prompts/prompt.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/prompt.ts",
"repo_id": "langchainjs",
"token_count": 2688
} | 929 |
# RexNet
**Rank Expansion Networks** (ReXNets) follow a set of new design principles for designing bottlenecks in image classification models. Authors refine each layer by 1) expanding the input channel size of the convolution layer and 2) replacing the [ReLU6s](https://www.paperswithcode.com/method/relu6).
## How do... | pytorch-image-models/docs/models/rexnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/rexnet.md",
"repo_id": "pytorch-image-models",
"token_count": 3081
} | 353 |
# Metric Card for Mean IoU
## Metric Description
IoU (Intersection over Union) is the area of overlap between the predicted segmentation and the ground truth divided by the area of union between the predicted segmentation and the ground truth.
For binary (two classes) or multi-class segmentation, the *mean IoU* o... | datasets/metrics/mean_iou/README.md/0 | {
"file_path": "datasets/metrics/mean_iou/README.md",
"repo_id": "datasets",
"token_count": 1803
} | 127 |
<!--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 applicable law or agreed... | transformers/docs/source/es/perplexity.md/0 | {
"file_path": "transformers/docs/source/es/perplexity.md",
"repo_id": "transformers",
"token_count": 3114
} | 479 |
<jupyter_start><jupyter_text>Image super-resolution using Latent Diffusion This colab notebook shows how to use the Latent Diffusion image super-resolution model using 🧨 [diffusers](https://github.com/huggingface/diffusers) libray.The model was originally released in [Latent Diffusion repo](https://github.com/CompVis/... | notebooks/diffusers/latent_diffusion_upscaler.ipynb/0 | {
"file_path": "notebooks/diffusers/latent_diffusion_upscaler.ipynb",
"repo_id": "notebooks",
"token_count": 656
} | 300 |
package typeutil
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"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/milv... | milvus/internal/util/typeutil/result_helper_test.go/0 | {
"file_path": "milvus/internal/util/typeutil/result_helper_test.go",
"repo_id": "milvus",
"token_count": 3487
} | 1,811 |
import { Fragment } from "react";
import { Dialog, Transition } from "@headlessui/react";
import { Bars3Icon, XMarkIcon } from "@heroicons/react/24/outline";
export function Layout(props: {
sidebarOpen: boolean;
setSidebarOpen: (open: boolean) => void;
sidebar: React.ReactNode;
children: React.ReactNode;
sub... | opengpts/frontend/src/components/Layout.tsx/0 | {
"file_path": "opengpts/frontend/src/components/Layout.tsx",
"repo_id": "opengpts",
"token_count": 2528
} | 1,990 |
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import (
BaseChatModel,
agenerate_from_stream,
generate_from_stream,
)
from l... | langchain/libs/community/langchain_community/chat_models/anthropic.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/anthropic.py",
"repo_id": "langchain",
"token_count": 3391
} | 242 |
import { BufferMemory } from "langchain/memory";
import { FirestoreChatMessageHistory } from "@langchain/community/stores/message/firestore";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
import admin from "firebase-admin";
const memory = new BufferMemory({
cha... | langchainjs/examples/src/memory/firestore_nested.ts/0 | {
"file_path": "langchainjs/examples/src/memory/firestore_nested.ts",
"repo_id": "langchainjs",
"token_count": 447
} | 859 |
<!--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/en/tasks/semantic_segmentation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/semantic_segmentation.md",
"repo_id": "transformers",
"token_count": 10076
} | 529 |
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