text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import {
AIMessage,
type BaseMessage,
BaseMessageChunk,
type BaseMessageLike,
HumanMessage,
coerceMessageLikeToMessage,
} from "../messages/index.js";
import type { BasePromptValueInterface } from "../prompt_values.js";
import {
LLMResult,
RUN_KEY,
type ChatGeneration,
ChatGenerationChunk,
type Ch... | langchainjs/langchain-core/src/language_models/chat_models.ts/0 | {
"file_path": "langchainjs/langchain-core/src/language_models/chat_models.ts",
"repo_id": "langchainjs",
"token_count": 7205
} | 825 |
"""Fetch and prune the Langsmith spec."""
import argparse
from pathlib import Path
import requests
import yaml
from openapi_spec_validator import validate_spec
def get_dependencies(schema, obj_name, new_components):
if obj_name in new_components["schemas"]:
return
obj_schema = schema["components"]["... | langsmith-sdk/_scripts/_fetch_schema.py/0 | {
"file_path": "langsmith-sdk/_scripts/_fetch_schema.py",
"repo_id": "langsmith-sdk",
"token_count": 1970
} | 1,099 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/seamless_m4t/feature_extraction_seamless_m4t.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t/feature_extraction_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 5746
} | 656 |
from chromadb.db.base import ParameterValue, get_sql
import pypika
def test_value_params_default() -> None:
t = pypika.Table("foo")
original_query = (
pypika.Query.from_(t)
.select(t.a, t.b)
.where(t.a == pypika.Parameter("?"))
.where(t.b == pypika.Parameter("?"))
)
v... | chroma/chromadb/test/db/test_base.py/0 | {
"file_path": "chroma/chromadb/test/db/test_base.py",
"repo_id": "chroma",
"token_count": 564
} | 22 |
import { OpenAIEmbeddings } from "@langchain/openai";
import { createClient } from "@supabase/supabase-js";
import { SupabaseHybridSearch } from "@langchain/community/retrievers/supabase";
export const run = async () => {
const client = createClient(
process.env.SUPABASE_URL || "",
process.env.SUPABASE_PRIVA... | langchainjs/examples/src/retrievers/supabase_hybrid.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/supabase_hybrid.ts",
"repo_id": "langchainjs",
"token_count": 276
} | 849 |
// 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/allocator/global_id_allocator_test.go/0 | {
"file_path": "milvus/internal/allocator/global_id_allocator_test.go",
"repo_id": "milvus",
"token_count": 1173
} | 1,649 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/indices/vector_store/auto_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/vector_store/auto_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,160 |
Databricks
==========
The [Databricks](https://www.databricks.com/) Lakehouse Platform unifies data, analytics, and AI on one platform.
Databricks embraces the LangChain ecosystem in various ways:
1. Databricks connector for the SQLDatabase Chain: SQLDatabase.from_databricks() provides an easy way to query your data... | langchain/docs/docs/integrations/providers/databricks.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/databricks.md",
"repo_id": "langchain",
"token_count": 1558
} | 133 |
from typing import Any, List, Literal
from langchain_core.messages.base import (
BaseMessage,
BaseMessageChunk,
merge_content,
)
class ToolMessage(BaseMessage):
"""Message for passing the result of executing a tool back to a model."""
tool_call_id: str
"""Tool call that this message is respo... | langchain/libs/core/langchain_core/messages/tool.py/0 | {
"file_path": "langchain/libs/core/langchain_core/messages/tool.py",
"repo_id": "langchain",
"token_count": 708
} | 392 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-requests/llama_index/tools/requests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-requests/llama_index/tools/requests/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,631 |
# flake8: noqa
from langchain.chains.prompt_selector import ConditionalPromptSelector, is_chat_model
from langchain_core.prompts.chat import (
AIMessagePromptTemplate,
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
... | langchain/libs/langchain/langchain/chains/question_answering/refine_prompts.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/question_answering/refine_prompts.py",
"repo_id": "langchain",
"token_count": 845
} | 511 |
"""Test file reader."""
from multiprocessing import cpu_count
from tempfile import TemporaryDirectory
from typing import Any, Dict
import pytest
from llama_index.core.readers.file.base import SimpleDirectoryReader
try:
from llama_index.readers.file import PDFReader
except ImportError:
PDFReader = None # typ... | llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/test_file.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/test_file.py",
"repo_id": "llama_index",
"token_count": 9989
} | 1,321 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses... | transformers/src/transformers/models/levit/configuration_levit.py/0 | {
"file_path": "transformers/src/transformers/models/levit/configuration_levit.py",
"repo_id": "transformers",
"token_count": 2270
} | 623 |
.. mdinclude:: ../DOCS_README.md
| llama_index/docs/contributing/documentation.rst/0 | {
"file_path": "llama_index/docs/contributing/documentation.rst",
"repo_id": "llama_index",
"token_count": 14
} | 1,101 |
// 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/indexbuilder/init_c.cpp/0 | {
"file_path": "milvus/internal/core/src/indexbuilder/init_c.cpp",
"repo_id": "milvus",
"token_count": 348
} | 1,757 |
// 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/kv/etcd/embed_etcd_kv_test.go/0 | {
"file_path": "milvus/internal/kv/etcd/embed_etcd_kv_test.go",
"repo_id": "milvus",
"token_count": 11565
} | 1,794 |
import pytest
from llama_index.legacy.vector_stores.types import (
ExactMatchFilter,
FilterOperator,
MetadataFilter,
MetadataFilters,
)
def test_legacy_filters_value_error() -> None:
"""Test legacy filters."""
filters = [
MetadataFilter(key="key1", value="value1", operator=FilterOperat... | llama_index/llama-index-legacy/tests/vector_stores/test_metadata_filters.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_metadata_filters.py",
"repo_id": "llama_index",
"token_count": 425
} | 1,636 |
import asyncio
import os
import time
from collections import defaultdict
from concurrent.futures import ThreadPoolExecutor
from typing import AsyncGenerator, Generator, Optional
import pytest
from langsmith import utils as ls_utils
from langsmith.client import Client
from langsmith.run_helpers import trace, traceable... | langsmith-sdk/python/tests/integration_tests/test_runs.py/0 | {
"file_path": "langsmith-sdk/python/tests/integration_tests/test_runs.py",
"repo_id": "langsmith-sdk",
"token_count": 6622
} | 1,071 |
# Glossary
This is a community-created glossary. Contributions are welcomed!
- **Tabular Method:** Type of problem in which the state and action spaces are small enough to approximate value functions to be represented as arrays and tables.
**Q-learning** is an example of tabular method since a table is used to repr... | deep-rl-class/units/en/unit3/glossary.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit3/glossary.mdx",
"repo_id": "deep-rl-class",
"token_count": 721
} | 166 |
# coding=utf-8
# Copyright 2020 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/funnel/tokenization_funnel_fast.py/0 | {
"file_path": "transformers/src/transformers/models/funnel/tokenization_funnel_fast.py",
"repo_id": "transformers",
"token_count": 4905
} | 637 |
<jupyter_start><jupyter_text>Auto Merging Retriever PackThis LlamaPack provides an example of our auto-merging retriever. Setup Data<jupyter_code>!wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1" -O paul_graham_essay.txt
from llama_index.core import SimpleDirectoryReader
# load in some samp... | llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/auto_merging_retriever.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/auto_merging_retriever.ipynb",
"repo_id": "llama_index",
"token_count": 542
} | 1,556 |
### Saved Pseudo-Labels
These are the generations of various large models on various large **training** sets. All in all they took about 200 GPU hours to produce.
### Available Pseudo-labels
| Dataset | Model | Link ... | transformers/examples/research_projects/seq2seq-distillation/precomputed_pseudo_labels.md/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/precomputed_pseudo_labels.md",
"repo_id": "transformers",
"token_count": 1861
} | 545 |
# flake8: noqa
__version__ = "0.7.11.dev0"
from .core import set_seed
from .environment import TextEnvironment, TextHistory
from .extras import BestOfNSampler
from .import_utils import (
is_bitsandbytes_available,
is_diffusers_available,
is_npu_available,
is_peft_available,
is_wandb_available,
... | trl/trl/__init__.py/0 | {
"file_path": "trl/trl/__init__.py",
"repo_id": "trl",
"token_count": 434
} | 780 |
from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
from langchain_community.docstore.base import AddableM... | langchain/libs/community/langchain_community/vectorstores/usearch.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/usearch.py",
"repo_id": "langchain",
"token_count": 2569
} | 342 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/generation/candidate_generator.py/0 | {
"file_path": "transformers/src/transformers/generation/candidate_generator.py",
"repo_id": "transformers",
"token_count": 8085
} | 571 |
"""Remote file reader.
A loader that fetches any remote page or file by URL and retrieves child pages with certain constraints. The class also parses the contents of each page and provides access to the parsed data.
"""
from typing import Any, Dict, List, Optional, Union
import requests
from llama_index.core.readers.... | llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/llama_index/readers/remote_depth/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/llama_index/readers/remote_depth/base.py",
"repo_id": "llama_index",
"token_count": 1764
} | 1,366 |
# 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/benchmark/test_benchmark.py/0 | {
"file_path": "transformers/tests/benchmark/test_benchmark.py",
"repo_id": "transformers",
"token_count": 4937
} | 723 |
# 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_tf.py/0 | {
"file_path": "transformers/src/transformers/training_args_tf.py",
"repo_id": "transformers",
"token_count": 5786
} | 755 |
# Cohere
The `CohereEmbeddings` class uses the Cohere API to generate embeddings for a given text.
## Usage
```bash npm2yarn
npm install cohere-ai @langchain/cohere
```
import CodeBlock from "@theme/CodeBlock";
import CohereExample from "@examples/models/embeddings/cohere.ts";
<CodeBlock language="typescript">{Coh... | langchainjs/docs/core_docs/docs/integrations/text_embedding/cohere.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/text_embedding/cohere.mdx",
"repo_id": "langchainjs",
"token_count": 113
} | 723 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
querypb "github.com/milvus-io/milvus/internal/proto/querypb"
mock "github.com/stretchr/testify/mock"
)
// QueryCoordCatalog is an autogenerated mock type for the QueryCoordCatalog type
type QueryCoordCatalog struct {
mock.Mock
}
type Query... | milvus/internal/metastore/mocks/mock_querycoord_catalog.go/0 | {
"file_path": "milvus/internal/metastore/mocks/mock_querycoord_catalog.go",
"repo_id": "milvus",
"token_count": 7746
} | 1,997 |
---
sidebar_position: 6
---
# Parallel tool use
In the [Chains with multiple tools](/docs/use_cases/tool_use/multiple_tools) guide we saw how to build function-calling chains
that select between multiple tools. Some models, like the OpenAI models released in Fall 2023, also support parallel
function calling. This all... | langchainjs/docs/core_docs/docs/use_cases/tool_use/parallel.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/tool_use/parallel.mdx",
"repo_id": "langchainjs",
"token_count": 1524
} | 801 |
// 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/services_test.go/0 | {
"file_path": "milvus/internal/querynodev2/services_test.go",
"repo_id": "milvus",
"token_count": 25505
} | 1,846 |
# A diffuser version implementation of Zero1to3 (https://github.com/cvlab-columbia/zero123), ICCV 2023
# by Xin Kong
import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import kornia
import numpy as np
import PIL.Image
import torch
from packaging import version
from transformers import CLIPFe... | diffusers/examples/community/pipeline_zero1to3.py/0 | {
"file_path": "diffusers/examples/community/pipeline_zero1to3.py",
"repo_id": "diffusers",
"token_count": 19739
} | 202 |
from langchain_community.llms.deepsparse import DeepSparse
__all__ = ["DeepSparse"]
| langchain/libs/langchain/langchain/llms/deepsparse.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/deepsparse.py",
"repo_id": "langchain",
"token_count": 28
} | 512 |
import argparse
import gc
import hashlib
import itertools
import logging
import math
import os
import threading
import warnings
from contextlib import nullcontext
from pathlib import Path
from typing import Optional
import datasets
import diffusers
import numpy as np
import psutil
import torch
import torch.nn.function... | peft/examples/oft_dreambooth/train_dreambooth.py/0 | {
"file_path": "peft/examples/oft_dreambooth/train_dreambooth.py",
"repo_id": "peft",
"token_count": 20129
} | 341 |
// 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/importv2/executor_test.go/0 | {
"file_path": "milvus/internal/datanode/importv2/executor_test.go",
"repo_id": "milvus",
"token_count": 6935
} | 1,802 |
# Response Modes
Right now, we support the following options:
- `refine`: **_create and refine_** an answer by sequentially going through each retrieved text chunk.
This makes a separate LLM call per Node/retrieved chunk.
**Details:** the first chunk is used in a query using the
`text_qa_template` prompt. Then... | llama_index/docs/module_guides/deploying/query_engine/response_modes.md/0 | {
"file_path": "llama_index/docs/module_guides/deploying/query_engine/response_modes.md",
"repo_id": "llama_index",
"token_count": 881
} | 1,091 |
from enum import Enum
from langchain_core.exceptions import OutputParserException
from langchain.output_parsers.enum import EnumOutputParser
class Colors(Enum):
RED = "red"
GREEN = "green"
BLUE = "blue"
def test_enum_output_parser_parse() -> None:
parser = EnumOutputParser(enum=Colors)
# Test... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_enum_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_enum_parser.py",
"repo_id": "langchain",
"token_count": 248
} | 603 |
use futures::executor::block_on;
use tantivy::schema::{Field, IndexRecordOption, Schema, TextFieldIndexing, TextOptions, INDEXED};
use tantivy::{doc, tokenizer, Index, IndexWriter};
use crate::data_type::TantivyDataType;
pub struct IndexWriterWrapper {
pub field_name: String,
pub field: Field,
pub data_t... | milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/index_writer.rs/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/tantivy-binding/src/index_writer.rs",
"repo_id": "milvus",
"token_count": 1579
} | 1,752 |
<jupyter_start><jupyter_text>Q&A System Correctness[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/testing-examples/qa-correctness/qa-correctness.ipynb)Evaluating a question and answer systems can help you improve its system design as well as the prompt and model quality. We tend t... | langsmith-cookbook/testing-examples/qa-correctness/qa-correctness.ipynb/0 | {
"file_path": "langsmith-cookbook/testing-examples/qa-correctness/qa-correctness.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 4805
} | 1,140 |
from langchain_community.docstore.wikipedia import Wikipedia
__all__ = ["Wikipedia"]
| langchain/libs/langchain/langchain/docstore/wikipedia.py/0 | {
"file_path": "langchain/libs/langchain/langchain/docstore/wikipedia.py",
"repo_id": "langchain",
"token_count": 22
} | 498 |
"""Load question answering with sources chains."""
from langchain.chains.qa_with_sources.loading import load_qa_with_sources_chain
__all__ = ["load_qa_with_sources_chain"]
| langchain/libs/langchain/langchain/chains/qa_with_sources/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/qa_with_sources/__init__.py",
"repo_id": "langchain",
"token_count": 54
} | 463 |
<script lang="ts">
import type { PageData, ActionData } from "./$types";
import { page } from "$app/stores";
import AssistantSettings from "$lib/components/AssistantSettings.svelte";
export let data: PageData;
export let form: ActionData;
$: assistant = data.assistants.find((el) => el._id.toString() === $page.p... | chat-ui/src/routes/settings/assistants/[assistantId]/edit/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/assistants/[assistantId]/edit/+page.svelte",
"repo_id": "chat-ui",
"token_count": 130
} | 113 |
import { UnstructuredLoader } from "langchain/document_loaders/fs/unstructured";
const options = {
apiKey: "MY_API_KEY",
};
const loader = new UnstructuredLoader(
"src/document_loaders/example_data/notion.md",
options
);
const docs = await loader.load();
| langchainjs/examples/src/document_loaders/unstructured.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/unstructured.ts",
"repo_id": "langchainjs",
"token_count": 88
} | 786 |
<!--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/model_doc/markuplm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/markuplm.md",
"repo_id": "transformers",
"token_count": 3443
} | 495 |
# 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/big_bird/test_modeling_flax_big_bird.py/0 | {
"file_path": "transformers/tests/models/big_bird/test_modeling_flax_big_bird.py",
"repo_id": "transformers",
"token_count": 3793
} | 708 |
// 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/rootcoord/redo.go/0 | {
"file_path": "milvus/internal/rootcoord/redo.go",
"repo_id": "milvus",
"token_count": 737
} | 1,787 |
"""Tool runner component."""
from typing import Any, Dict, Optional, Sequence, cast
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.callbacks import (
CallbackManager,
CBEventType,
EventPayload,
)
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.l... | llama_index/llama-index-legacy/llama_index/legacy/query_pipeline/components/tool_runner.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/query_pipeline/components/tool_runner.py",
"repo_id": "llama_index",
"token_count": 1586
} | 1,591 |
# 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/segformer/test_modeling_tf_segformer.py/0 | {
"file_path": "transformers/tests/models/segformer/test_modeling_tf_segformer.py",
"repo_id": "transformers",
"token_count": 9892
} | 811 |
<jupyter_start><jupyter_text>Multi-Modal OpenAI Image Generation + GPT-4V<jupyter_code>import os
from PIL import Image
from IPython.display import display
from llama_index.tools.openai.image_generation import OpenAIImageGenerationToolSpec
image_generation_tool = OpenAIImageGenerationToolSpec(
api_key=os.environ["... | llama_index/llama-index-integrations/tools/llama-index-tools-openai/examples/multimodal_openai_image.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-openai/examples/multimodal_openai_image.ipynb",
"repo_id": "llama_index",
"token_count": 369
} | 1,520 |
from langchain_community.document_loaders.parsers.language.cobol import CobolSegmenter
EXAMPLE_CODE = """
IDENTIFICATION DIVISION.
PROGRAM-ID. SampleProgram.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 SAMPLE-VAR PIC X(20) VALUE 'Sample Value'.
PROCEDURE DIVISION.
A000-INITIALIZE-PARA.
DISPLAY 'Initiali... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_cobol.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_cobol.py",
"repo_id": "langchain",
"token_count": 680
} | 365 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team, 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... | transformers/src/transformers/models/dpr/tokenization_dpr_fast.py/0 | {
"file_path": "transformers/src/transformers/models/dpr/tokenization_dpr_fast.py",
"repo_id": "transformers",
"token_count": 8418
} | 679 |
import logging
logger = logging.getLogger(__name__)
| langgraph/langgraph/pregel/log.py/0 | {
"file_path": "langgraph/langgraph/pregel/log.py",
"repo_id": "langgraph",
"token_count": 18
} | 1,077 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-readwise/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-readwise/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,371 |
export interface GAEvent {
hitType: "event";
eventCategory: string;
eventAction: string;
eventLabel?: string;
eventValue?: number;
}
// Send a Google Analytics event
export function sendAnalyticsEvent({
eventCategory,
eventAction,
eventLabel,
eventValue,
}: Omit<GAEvent, "hitType">): void {
// Mandatory fiel... | chat-ui/src/lib/utils/analytics.ts/0 | {
"file_path": "chat-ui/src/lib/utils/analytics.ts",
"repo_id": "chat-ui",
"token_count": 313
} | 104 |
import type { BaseChatModel } from "../language_models/chat_models.js";
import type { BasePromptTemplate } from "../prompts/base.js";
import type { BaseLanguageModelInterface } from "../language_models/base.js";
import type { BaseLLM } from "../language_models/llms.js";
import type { PartialValues } from "../utils/type... | langchainjs/langchain-core/src/example_selectors/conditional.ts/0 | {
"file_path": "langchainjs/langchain-core/src/example_selectors/conditional.ts",
"repo_id": "langchainjs",
"token_count": 970
} | 873 |
# 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/src/peft/tuners/lycoris_utils.py/0 | {
"file_path": "peft/src/peft/tuners/lycoris_utils.py",
"repo_id": "peft",
"token_count": 6993
} | 319 |
# Additional Readings [[additional-readings]]
These are **optional readings** if you want to go deeper.
## Deep Reinforcement Learning [[deep-rl]]
- [Reinforcement Learning: An Introduction, Richard Sutton and Andrew G. Barto Chapter 1, 2 and 3](http://incompleteideas.net/book/RLbook2020.pdf)
- [Foundations of Deep ... | deep-rl-class/units/en/unit1/additional-readings.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/additional-readings.mdx",
"repo_id": "deep-rl-class",
"token_count": 246
} | 157 |
<jupyter_start><jupyter_text>Eleven Labs Text2SpeechThis notebook shows how to interact with the `ElevenLabs API` to achieve text-to-speech capabilities. First, you need to set up an ElevenLabs account. You can follow the instructions [here](https://docs.elevenlabs.io/welcome/introduction).<jupyter_code>%pip install --... | langchain/docs/docs/integrations/tools/eleven_labs_tts.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/eleven_labs_tts.ipynb",
"repo_id": "langchain",
"token_count": 509
} | 168 |
from langchain.schema.language_model import __all__
EXPECTED_ALL = [
"BaseLanguageModel",
"_get_token_ids_default_method",
"get_tokenizer",
"LanguageModelOutput",
"LanguageModelInput",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_language_model.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_language_model.py",
"repo_id": "langchain",
"token_count": 111
} | 672 |
# 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/pipelines/test_pipelines_text_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_text_classification.py",
"repo_id": "transformers",
"token_count": 3566
} | 855 |
import { sveltekit } from "@sveltejs/kit/vite";
import { defineConfig, type PluginOption } from "vite";
import Icons from "unplugin-icons/vite";
import { promises } from "fs";
// used to load fonts server side for thumbnail generation
function loadTTFAsArrayBuffer(): PluginOption {
return {
name: "load-ttf-as-array... | chat-ui/vite.config.ts/0 | {
"file_path": "chat-ui/vite.config.ts",
"repo_id": "chat-ui",
"token_count": 272
} | 115 |
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class NewsURLLoader(BaseLoader):
"""Load news article... | langchain/libs/community/langchain_community/document_loaders/news.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/news.py",
"repo_id": "langchain",
"token_count": 2026
} | 241 |
<jupyter_start><jupyter_text>Create a runnable with the `@chain` decoratorYou can also turn an arbitrary function into a chain by adding a `@chain` decorator. This is functionaly equivalent to wrapping in a [`RunnableLambda`](./functions).This will have the benefit of improved observability by tracing your chain correc... | langchain/docs/docs/expression_language/how_to/decorator.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/how_to/decorator.ipynb",
"repo_id": "langchain",
"token_count": 438
} | 90 |
export * from "@langchain/core/tracers/tracer_langchain";
| langchainjs/langchain/src/callbacks/handlers/tracer_langchain.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/handlers/tracer_langchain.ts",
"repo_id": "langchainjs",
"token_count": 19
} | 877 |
#!/usr/bin/env python3
import logging
import sys
import time
from dataclasses import field
from pathlib import Path
from typing import Dict, List, Optional, Union
import flax
import jax
import jax.numpy as jnp
import librosa
import numpy as np
import optax
from datasets import DatasetDict, load_dataset
from flax impor... | transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py",
"repo_id": "transformers",
"token_count": 10483
} | 546 |
// 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/compaction.go/0 | {
"file_path": "milvus/internal/datacoord/compaction.go",
"repo_id": "milvus",
"token_count": 7815
} | 1,825 |
from langchain_community.llms.huggingface_endpoint import (
HuggingFaceEndpoint,
)
__all__ = ["HuggingFaceEndpoint"]
| langchain/libs/langchain/langchain/llms/huggingface_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/huggingface_endpoint.py",
"repo_id": "langchain",
"token_count": 44
} | 538 |
# 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/owlvit/test_modeling_owlvit.py/0 | {
"file_path": "transformers/tests/models/owlvit/test_modeling_owlvit.py",
"repo_id": "transformers",
"token_count": 15293
} | 817 |
import sys
from unittest.mock import MagicMock
import pytest
from llama_index.core.ingestion.data_sinks import (
ConfigurableDataSinks,
ConfiguredDataSink,
)
try:
from llama_index.vector_store.weaviate import WeaviateVectorStore
except ImportError:
WeaviateVectorStore = None
@pytest.mark.parametrize... | llama_index/llama-index-core/tests/ingestion/test_data_sinks.py/0 | {
"file_path": "llama_index/llama-index-core/tests/ingestion/test_data_sinks.py",
"repo_id": "llama_index",
"token_count": 1018
} | 1,161 |
from langchain_core.exceptions import LangChainException
class InvalidKeyException(LangChainException):
"""Raised when a key is invalid; e.g., uses incorrect characters."""
| langchain/libs/community/langchain_community/storage/exceptions.py/0 | {
"file_path": "langchain/libs/community/langchain_community/storage/exceptions.py",
"repo_id": "langchain",
"token_count": 47
} | 279 |
<jupyter_start><jupyter_text>Document ComparisonThis notebook shows how to use an agent to compare two documents.The high level idea is we will create a question-answering chain for each document, and then use that<jupyter_code>from langchain.agents import Tool
from langchain.chains import RetrievalQA
from langchain.te... | langchain/docs/docs/integrations/toolkits/document_comparison_toolkit.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/document_comparison_toolkit.ipynb",
"repo_id": "langchain",
"token_count": 1776
} | 169 |
---
sidebar_class_name: hidden
---
# Moderation
This notebook walks through examples of how to use a moderation chain, and several common ways for doing so. Moderation chains are useful for detecting text that could be hateful, violent, etc. This can be useful to apply on both user input, but also on the output of a ... | langchainjs/docs/core_docs/docs/modules/chains/additional/moderation.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/moderation.mdx",
"repo_id": "langchainjs",
"token_count": 392
} | 727 |
from enum import Enum
from typing import Dict, Type
from llama_index.legacy.vector_stores.bagel import BagelVectorStore
from llama_index.legacy.vector_stores.cassandra import CassandraVectorStore
from llama_index.legacy.vector_stores.chatgpt_plugin import ChatGPTRetrievalPluginClient
from llama_index.legacy.vector_sto... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/registry.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/registry.py",
"repo_id": "llama_index",
"token_count": 1270
} | 1,655 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses... | transformers/src/transformers/models/regnet/modeling_tf_regnet.py/0 | {
"file_path": "transformers/src/transformers/models/regnet/modeling_tf_regnet.py",
"repo_id": "transformers",
"token_count": 10486
} | 733 |
"""Models for the Constitutional AI chain."""
from langchain_core.pydantic_v1 import BaseModel
class ConstitutionalPrinciple(BaseModel):
"""Class for a constitutional principle."""
critique_request: str
revision_request: str
name: str = "Constitutional Principle"
| langchain/libs/langchain/langchain/chains/constitutional_ai/models.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/constitutional_ai/models.py",
"repo_id": "langchain",
"token_count": 80
} | 464 |
/* Elements */
a {
color: #2878A2;
word-wrap: break-word;
}
a:focus {
outline: none;
}
/* Anchor links */
a.headerlink {
color: #c60f0f;
font-size: 0.8em;
padding: 0 4px 0 4px;
text-decoration: none;
visibility: hidden;
}
a.headerlink:hover {
background-color: #c60f0f;
color: white;
}
p {
wor... | langchain/docs/api_reference/themes/scikit-learn-modern/static/css/theme.css/0 | {
"file_path": "langchain/docs/api_reference/themes/scikit-learn-modern/static/css/theme.css",
"repo_id": "langchain",
"token_count": 10864
} | 80 |
CREATE TABLE embeddings_queue (
seq_id INTEGER PRIMARY KEY,
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
operation INTEGER NOT NULL,
topic TEXT NOT NULL,
id TEXT NOT NULL,
vector BLOB,
encoding TEXT,
metadata TEXT
);
| chroma/chromadb/migrations/embeddings_queue/00001-embeddings.sqlite.sql/0 | {
"file_path": "chroma/chromadb/migrations/embeddings_queue/00001-embeddings.sqlite.sql",
"repo_id": "chroma",
"token_count": 99
} | 15 |
"""
Ensemble retriever that ensemble the results of
multiple retrievers by using weighted Reciprocal Rank Fusion
"""
import asyncio
from typing import Any, Dict, List, Optional, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_c... | langchain/libs/langchain/langchain/retrievers/ensemble.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/ensemble.py",
"repo_id": "langchain",
"token_count": 4406
} | 532 |
// 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/grpcclient/grpc_encoder.go/0 | {
"file_path": "milvus/internal/util/grpcclient/grpc_encoder.go",
"repo_id": "milvus",
"token_count": 755
} | 1,878 |
[package]
name = "candle-wasm-example-sam"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-trans... | candle/candle-wasm-examples/segment-anything/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/Cargo.toml",
"repo_id": "candle",
"token_count": 264
} | 85 |
<jupyter_start><jupyter_text>DocArray>[DocArray](https://github.com/docarray/docarray) is a versatile, open-source tool for managing your multi-modal data. It lets you shape your data however you want, and offers the flexibility to store and search it using various document index backends. Plus, it gets even better - y... | langchain/docs/docs/integrations/retrievers/docarray_retriever.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/docarray_retriever.ipynb",
"repo_id": "langchain",
"token_count": 5050
} | 164 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/exec/expression/BinaryArithOpEvalRangeExpr.h/0 | {
"file_path": "milvus/internal/core/src/exec/expression/BinaryArithOpEvalRangeExpr.h",
"repo_id": "milvus",
"token_count": 4836
} | 1,643 |
from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence
from llama_index.core.base.base_selector import (
BaseSelector,
MultiSelection,
SelectorResult,
SingleSelection,
)
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import QueryBundle
from llama_index.c... | llama_index/llama-index-core/llama_index/core/selectors/pydantic_selectors.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/selectors/pydantic_selectors.py",
"repo_id": "llama_index",
"token_count": 2484
} | 1,297 |
"""Test MongoDB Atlas Vector Search functionality."""
from __future__ import annotations
import os
from time import sleep
from typing import List
import pytest
try:
from pymongo import MongoClient
INDEX_NAME = "llamaindex-test-index"
NAMESPACE = "llamaindex_test_db.llamaindex_test_collection"
CONNE... | llama_index/llama-index-legacy/tests/vector_stores/test_mongodb.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_mongodb.py",
"repo_id": "llama_index",
"token_count": 1983
} | 1,549 |
from llama_index.legacy.multi_modal_llms.base import (
MultiModalLLM,
MultiModalLLMMetadata,
)
from llama_index.legacy.multi_modal_llms.dashscope import (
DashScopeMultiModal,
DashScopeMultiModalModels,
)
from llama_index.legacy.multi_modal_llms.gemini import GeminiMultiModal
from llama_index.legacy.mul... | llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/__init__.py",
"repo_id": "llama_index",
"token_count": 315
} | 1,591 |
import {
type StructuredToolInterface,
type ToolInterface,
ToolInputParsingException,
Tool,
} from "@langchain/core/tools";
import { Runnable, type RunnableConfig } from "@langchain/core/runnables";
import { AgentAction, AgentFinish, AgentStep } from "@langchain/core/agents";
import { ChainValues } from "@langc... | langchainjs/langchain/src/agents/executor.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/executor.ts",
"repo_id": "langchainjs",
"token_count": 8441
} | 838 |
import { test, expect } from "@jest/globals";
import * as url from "node:url";
import * as path from "node:path";
import * as fs from "node:fs/promises";
import { PDFLoader } from "../fs/pdf.js";
test("Test PDF loader from blob", async () => {
const filePath = path.resolve(
path.dirname(url.fileURLToPath(import.... | langchainjs/langchain/src/document_loaders/tests/pdf-blob.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/pdf-blob.test.ts",
"repo_id": "langchainjs",
"token_count": 674
} | 895 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/typesense",
});
export * from "@langchain/community/vectorstores/typesense";
| langchainjs/langchain/src/vectorstores/typesense.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/typesense.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 984 |
---
hide_table_of_contents: true
sidebar_label: Memory
sidebar_position: 1
---
import CodeBlock from "@theme/CodeBlock";
# `MemoryVectorStore`
MemoryVectorStore is an in-memory, ephemeral vectorstore that stores embeddings in-memory and does an exact, linear search for the most similar embeddings. The default simila... | langchainjs/docs/core_docs/docs/integrations/vectorstores/memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/memory.mdx",
"repo_id": "langchainjs",
"token_count": 356
} | 795 |
from langchain_community.llms.cerebriumai import CerebriumAI
__all__ = ["CerebriumAI"]
| langchain/libs/langchain/langchain/llms/cerebriumai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/cerebriumai.py",
"repo_id": "langchain",
"token_count": 32
} | 509 |
from langchain.tools.base import __all__
EXPECTED_ALL = [
"BaseTool",
"SchemaAnnotationError",
"StructuredTool",
"Tool",
"ToolException",
"create_schema_from_function",
"tool",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/tools/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/tools/test_base.py",
"repo_id": "langchain",
"token_count": 120
} | 614 |
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
Callable,
Iterator,
List,
Optional,
Sequence,
Union,
)
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
_NOT_SET = object()
if TYPE_CHECKING:
... | langchain/libs/community/langchain_community/document_loaders/cassandra.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/cassandra.py",
"repo_id": "langchain",
"token_count": 1918
} | 228 |
<jupyter_start><jupyter_text>Il est temps de trancher et de découper Installez les bibliothèques 🤗 Transformers et 🤗 Datasets pour exécuter ce *notebook*.<jupyter_code>!pip install datasets evaluate transformers[sentencepiece]
!wget "https://archive.ics.uci.edu/ml/machine-learning-databases/00462/drugsCom_raw.zip"
!u... | notebooks/course/fr/chapter5/section3.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter5/section3.ipynb",
"repo_id": "notebooks",
"token_count": 1912
} | 286 |
# RAG with Multiple Indexes (Routing)
A QA application that routes between different domain-specific retrievers given a user question.
## Environment Setup
This application queries PubMed, ArXiv, Wikipedia, and [Kay AI](https://www.kay.ai) (for SEC filings).
You will need to create a free Kay AI account and [get yo... | langchain/templates/rag-multi-index-router/README.md/0 | {
"file_path": "langchain/templates/rag-multi-index-router/README.md",
"repo_id": "langchain",
"token_count": 685
} | 737 |
# Contributing to langchain-cli
Update CLI versions with `poe bump` to ensure that version commands display correctly.
| langchain/libs/cli/CONTRIBUTING.md/0 | {
"file_path": "langchain/libs/cli/CONTRIBUTING.md",
"repo_id": "langchain",
"token_count": 28
} | 211 |
# LlamaIndex Postprocessor Integration: Cohere Rerank
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,434 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/retrievers/parent_document_retriever.ts";
import ExampleWithScoreThreshold from "@examples/retrievers/parent_document_retriever_score_threshold.ts";
# Parent Document Retriever
When splitting documents for r... | langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/parent-document-retriever.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/retrievers/parent-document-retriever.mdx",
"repo_id": "langchainjs",
"token_count": 530
} | 764 |
import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
import {
WebGoogleAuthOptions,
WebGoogleAuth,
} from "../../utils/googlevertexai-webauth.js";
import { BaseChatGoogleVertexAI, GoogleVertexAIChatInput } from "./common.js";
/**
* Enables calls to the Google Cloud's Vertex AI A... | langchainjs/libs/langchain-community/src/chat_models/googlevertexai/web.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/googlevertexai/web.ts",
"repo_id": "langchainjs",
"token_count": 627
} | 977 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/deprecated/stochastic_karras_ve/pipeline_stochastic_karras_ve.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stochastic_karras_ve/pipeline_stochastic_karras_ve.py",
"repo_id": "diffusers",
"token_count": 2264
} | 235 |
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