text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
grpc "google.golang.org/grpc"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/mi... | milvus/internal/mocks/mock_rootcoord_client.go/0 | {
"file_path": "milvus/internal/mocks/mock_rootcoord_client.go",
"repo_id": "milvus",
"token_count": 51239
} | 1,814 |
// 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/metastore/kv/datacoord/kv_catalog.go/0 | {
"file_path": "milvus/internal/metastore/kv/datacoord/kv_catalog.go",
"repo_id": "milvus",
"token_count": 8271
} | 1,797 |
# coding=utf-8
# Copyright 2022 The OpenAI Authors 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/L... | transformers/src/transformers/models/whisper/modeling_whisper.py/0 | {
"file_path": "transformers/src/transformers/models/whisper/modeling_whisper.py",
"repo_id": "transformers",
"token_count": 45504
} | 718 |
<!--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/big_models.md/0 | {
"file_path": "transformers/docs/source/en/big_models.md",
"repo_id": "transformers",
"token_count": 1718
} | 478 |
CREATE TABLE table1 (
name TEXT PRIMARY KEY
);
| chroma/chromadb/test/db/migrations/00001-migration-1.psql.sql/0 | {
"file_path": "chroma/chromadb/test/db/migrations/00001-migration-1.psql.sql",
"repo_id": "chroma",
"token_count": 19
} | 22 |
# 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/models/funnel/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/funnel/__init__.py",
"repo_id": "transformers",
"token_count": 1742
} | 606 |
package lifetime
import (
"testing"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type SafeChanSuite struct {
suite.Suite
}
func (s *SafeChanSuite) TestClose() {
sc := NewSafeChan()
s.False(sc.IsClosed(), "IsClosed() shall return false before Close()")
s.False(typeut... | milvus/pkg/util/lifetime/safe_chan_test.go/0 | {
"file_path": "milvus/pkg/util/lifetime/safe_chan_test.go",
"repo_id": "milvus",
"token_count": 367
} | 2,060 |
# LlamaIndex Readers Integration: Dashvector
| llama_index/llama-index-integrations/readers/llama-index-readers-dashvector/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dashvector/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,348 |
import { test } from "@jest/globals";
import { GithubRepoLoader } from "../web/github.js";
test("Test GithubRepoLoader", async () => {
const loader = new GithubRepoLoader(
"https://github.com/langchain-ai/langchainjs",
{ branch: "main", recursive: false, unknown: "warn" }
);
const documents = await loade... | langchainjs/langchain/src/document_loaders/tests/github.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/github.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1352
} | 866 |
# PDF Table Loader
This loader reads the tables included in the PDF.
Users can input the PDF `file` and the `pages` from which they want to extract tables, and they can read the tables included on those pages.
## Usage
Here's an example usage of the PDFTableReader.
`pages` parameter is the same as camelot's `pages`... | llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/README.md",
"repo_id": "llama_index",
"token_count": 265
} | 1,365 |
<jupyter_start><jupyter_text>USearch>[USearch](https://unum-cloud.github.io/usearch/) is a Smaller & Faster Single-File Vector Search Engine>USearch's base functionality is identical to FAISS, and the interface should look familiar if you have ever investigated Approximate Nearest Neigbors search. FAISS is a widely rec... | langchain/docs/docs/integrations/vectorstores/usearch.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/usearch.ipynb",
"repo_id": "langchain",
"token_count": 748
} | 193 |
from langchain_core.callbacks.base import (
AsyncCallbackHandler,
BaseCallbackHandler,
BaseCallbackManager,
CallbackManagerMixin,
Callbacks,
ChainManagerMixin,
LLMManagerMixin,
RetrieverManagerMixin,
RunManagerMixin,
ToolManagerMixin,
)
from langchain_core.callbacks.manager impor... | langchain/libs/core/langchain_core/callbacks/__init__.py/0 | {
"file_path": "langchain/libs/core/langchain_core/callbacks/__init__.py",
"repo_id": "langchain",
"token_count": 654
} | 410 |
"""Google Jobs API Toolkit."""
from langchain_community.tools.google_jobs.tool import GoogleJobsQueryRun
__all__ = ["GoogleJobsQueryRun"]
| langchain/libs/langchain/langchain/tools/google_jobs/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/google_jobs/__init__.py",
"repo_id": "langchain",
"token_count": 43
} | 579 |
from typing import List, Optional, Sequence, Tuple, Union, cast
from uuid import UUID
from overrides import overrides
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT, System
from chromadb.db.base import NotFoundError, UniqueConstraintError
from chromadb.db.system import SysDB
from chromadb.proto.convert im... | chroma/chromadb/db/impl/grpc/client.py/0 | {
"file_path": "chroma/chromadb/db/impl/grpc/client.py",
"repo_id": "chroma",
"token_count": 4416
} | 15 |
import pytest
from time import sleep
from collections import defaultdict
from pymilvus import connections
from chaos.checker import (InsertChecker,
UpsertChecker,
FlushChecker,
SearchChecker,
QueryChecker,
... | milvus/tests/python_client/chaos/testcases/test_verify_all_collections.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_verify_all_collections.py",
"repo_id": "milvus",
"token_count": 1753
} | 2,176 |
import { expect, test } from "@jest/globals";
import {
AIMessage,
BaseMessageLike,
HumanMessage,
MessageContentComplex,
MessageContentText,
SystemMessage,
} from "@langchain/core/messages";
import { ChatGoogleBase, ChatGoogleBaseInput } from "../chat_models.js";
import { authOptions, MockClient, MockClientA... | langchainjs/libs/langchain-google-common/src/tests/chat_models.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-common/src/tests/chat_models.test.ts",
"repo_id": "langchainjs",
"token_count": 2804
} | 1,025 |
python_tests()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,172 |
<jupyter_start><jupyter_text>Run TemplateIn `server.py`, set -```add_routes(app, chain_rag_conv, path="/rag-chroma-multi-modal-multi-vector")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app = RemoteRunnable("http://localhost:8001/rag-chroma-multi-modal-multi-vector")
rag_app.invoke("What is the pro... | langchain/templates/rag-chroma-multi-modal-multi-vector/rag_chroma_multi_modal_multi_vector.ipynb/0 | {
"file_path": "langchain/templates/rag-chroma-multi-modal-multi-vector/rag_chroma_multi_modal_multi_vector.ipynb",
"repo_id": "langchain",
"token_count": 146
} | 658 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-myscale/llama_index/readers/myscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-myscale/llama_index/readers/myscale/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,407 |
"""Test Graph Database Chain."""
from typing import Any
from langchain_community.graphs import ArangoGraph
from langchain_community.graphs.arangodb_graph import get_arangodb_client
from langchain_community.llms.openai import OpenAI
from langchain.chains.graph_qa.arangodb import ArangoGraphQAChain
def populate_arang... | langchain/libs/langchain/tests/integration_tests/chains/test_graph_database_arangodb.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/chains/test_graph_database_arangodb.py",
"repo_id": "langchain",
"token_count": 1162
} | 611 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team, The Microsoft Research 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
#
# ... | transformers/tests/models/prophetnet/test_modeling_prophetnet.py/0 | {
"file_path": "transformers/tests/models/prophetnet/test_modeling_prophetnet.py",
"repo_id": "transformers",
"token_count": 25713
} | 729 |
from typing import Dict, Tuple
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.pinecone import PineconeTranslator
DEFAULT_TRANSLATOR = PineconeTranslator()
def test_visit_comparison() -> None... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_pinecone.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_pinecone.py",
"repo_id": "langchain",
"token_count": 907
} | 647 |
# 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/lora/model.py/0 | {
"file_path": "peft/src/peft/tuners/lora/model.py",
"repo_id": "peft",
"token_count": 14496
} | 325 |
---
- name: Install Docker Dependencies
yum: name={{ item }} state=latest update_cache=yes
with_items:
- yum-utils
- device-mapper-persistent-data
- lvm2
when: ansible_distribution == 'CentOS' or ansible_distribution == 'Red Hat Enterprise Linux'
- name: Add Docker Yum Repo
get_url:
url: https... | milvus/deployments/docker/cluster-distributed-deployment/roles/docker-installation/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/docker-installation/tasks/main.yml",
"repo_id": "milvus",
"token_count": 668
} | 1,638 |
# BagelDB
> [BagelDB](https://www.bageldb.ai/) (`Open Vector Database for AI`), is like GitHub for AI data.
It is a collaborative platform where users can create,
share, and manage vector datasets. It can support private projects for independent developers,
internal collaborations for enterprises, and public contribut... | langchain/docs/docs/integrations/providers/bageldb.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/bageldb.mdx",
"repo_id": "langchain",
"token_count": 151
} | 138 |
# Glossary [[glossary]]
This is a community-created glossary. Contributions are welcomed!
### Agent
An agent learns to **make decisions by trial and error, with rewards and punishments from the surroundings**.
### Environment
An environment is a simulated world **where an agent can learn by interacting with it**.
... | deep-rl-class/units/en/unit1/glossary.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/glossary.mdx",
"repo_id": "deep-rl-class",
"token_count": 775
} | 150 |
"""Test `Javelin AI Gateway` chat models"""
import pytest
from langchain_core.pydantic_v1 import SecretStr
from langchain_community.chat_models import ChatJavelinAIGateway
@pytest.mark.requires("javelin_sdk")
def test_api_key_is_secret_string() -> None:
llm = ChatJavelinAIGateway(
gateway_uri="<javelin-... | langchain/libs/community/tests/unit_tests/chat_models/test_javelin_ai_gateway.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_models/test_javelin_ai_gateway.py",
"repo_id": "langchain",
"token_count": 472
} | 394 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/flax/language-modeling/README.md/0 | {
"file_path": "transformers/examples/flax/language-modeling/README.md",
"repo_id": "transformers",
"token_count": 6820
} | 537 |
"""MyScale reader."""
import logging
from typing import Any, List, Optional
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document
logger = logging.getLogger(__name__)
def escape_str(value: str) -> str:
BS = "\\"
must_escape = (BS, "'")
return (
""... | llama_index/llama-index-legacy/llama_index/legacy/readers/myscale.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/myscale.py",
"repo_id": "llama_index",
"token_count": 2492
} | 1,636 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { Document } from "@langchain/core/documents";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import axiosMod, { AxiosRequestConfig, AxiosStatic } from "axios";
import * as cheerio from "cheerio";
impo... | langchainjs/langchain/src/tools/webbrowser.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/webbrowser.ts",
"repo_id": "langchainjs",
"token_count": 3055
} | 997 |
import pg, { PoolConfig, Pool } from "pg";
import {
ListKeyOptions,
RecordManagerInterface,
UpdateOptions,
} from "./base.js";
export type PostgresRecordManagerOptions = {
postgresConnectionOptions: PoolConfig;
tableName?: string;
};
export class PostgresRecordManager implements RecordManagerInterface {
l... | langchainjs/libs/langchain-community/src/indexes/postgres.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/indexes/postgres.ts",
"repo_id": "langchainjs",
"token_count": 2128
} | 999 |
# Neo4j
This page covers how to use the Neo4j ecosystem within LangChain.
What is Neo4j?
**Neo4j in a nutshell:**
- Neo4j is an open-source database management system that specializes in graph database technology.
- Neo4j allows you to represent and store data in nodes and edges, making it ideal for handling connec... | langchain/docs/docs/integrations/providers/neo4j.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/neo4j.mdx",
"repo_id": "langchain",
"token_count": 603
} | 154 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { ToolInterface } from "@langchain/core/tools";
import { Toolkit } from "@langchain/community/agents/toolkits/base";
import { renderTemplate } from "@langchain/core/prompts";
import {
InfoSqlTool,
ListTablesSqlTool,
... | langchainjs/langchain/src/agents/toolkits/sql/sql.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/sql/sql.ts",
"repo_id": "langchainjs",
"token_count": 881
} | 920 |
// 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/msgdispatcher/client.go/0 | {
"file_path": "milvus/pkg/mq/msgdispatcher/client.go",
"repo_id": "milvus",
"token_count": 1248
} | 1,917 |
# De-detoxifying language models
To run this code, do the following:
```shell
ACCELERATE_LOG_LEVEL=info accelerate launch --config_file {CONFIG} examples/research_projects/toxicity/scripts/gpt-j-6b-toxicity.py --log_with wandb
```
| trl/examples/research_projects/toxicity/README.md/0 | {
"file_path": "trl/examples/research_projects/toxicity/README.md",
"repo_id": "trl",
"token_count": 79
} | 869 |
use yew_agent::PublicWorker;
fn main() {
console_error_panic_hook::set_once();
candle_wasm_example_llama2::Worker::register();
}
| candle/candle-wasm-examples/llama2-c/src/bin/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/bin/worker.rs",
"repo_id": "candle",
"token_count": 54
} | 88 |
# coding=utf-8
# Copyright 2022 Apple 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/LICENSE-2... | transformers/src/transformers/models/mobilevit/modeling_tf_mobilevit.py/0 | {
"file_path": "transformers/src/transformers/models/mobilevit/modeling_tf_mobilevit.py",
"repo_id": "transformers",
"token_count": 24329
} | 643 |
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
const pythonCode = `def hello_world():
print("Hello, World!")
# Call the function
hello_world()`;
const splitter = RecursiveCharacterTextSplitter.fromLanguage("python", {
chunkSize: 32,
chunkOverlap: 0,
});
const pythonOutput = await spl... | langchainjs/examples/src/indexes/python_text_splitter.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/python_text_splitter.ts",
"repo_id": "langchainjs",
"token_count": 293
} | 782 |
#!/usr/bin/env python3
# coding=utf-8
# 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
#... | peft/tests/test_custom_models.py/0 | {
"file_path": "peft/tests/test_custom_models.py",
"repo_id": "peft",
"token_count": 35761
} | 310 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | datasets/utils/release.py/0 | {
"file_path": "datasets/utils/release.py",
"repo_id": "datasets",
"token_count": 1359
} | 171 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
import diffusers
from diffusers import (
AutoencoderKLTemporalDecoder,
EulerDiscreteScheduler,
StableVideoDi... | diffusers/tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py",
"repo_id": "diffusers",
"token_count": 9422
} | 294 |
import { OpenAIEmbeddings } from "@langchain/openai";
const model = new OpenAIEmbeddings();
const res = await model.embedQuery(
"What would be a good company name a company that makes colorful socks?"
);
console.log({ res });
| langchainjs/examples/src/embeddings/openai.ts/0 | {
"file_path": "langchainjs/examples/src/embeddings/openai.ts",
"repo_id": "langchainjs",
"token_count": 67
} | 771 |
search_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_1b_128_l2_sq8
cache_config.cpu_cache_capacity: 150GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 200
gpu_resource_config.enable: true
g... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_search.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_search.yaml",
"repo_id": "milvus",
"token_count": 4088
} | 1,943 |
python_tests(
skip_tests=True,
)
| llama_index/llama-index-cli/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-cli/tests/BUILD",
"repo_id": "llama_index",
"token_count": 17
} | 1,159 |
"""Faiss Vector store index.
An index that is built on top of an existing vector store.
"""
import logging
import os
from typing import Any, List, Optional, cast
import fsspec
import numpy as np
from fsspec.implementations.local import LocalFileSystem
from llama_index.core.bridge.pydantic import PrivateAttr
from ll... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py",
"repo_id": "llama_index",
"token_count": 2725
} | 1,517 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers as well as some other libraries. Uncomment the following cell and run it.<jupyter_code># Install
!pip install -q biopython transformers datasets huggingface_hub accelerate peft<jupyter_output>[2K ... | notebooks/examples/nucleotide_transformer_dna_sequence_modelling_with_peft.ipynb/0 | {
"file_path": "notebooks/examples/nucleotide_transformer_dna_sequence_modelling_with_peft.ipynb",
"repo_id": "notebooks",
"token_count": 8292
} | 306 |
// 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/storage/LocalChunkManager.h/0 | {
"file_path": "milvus/internal/core/src/storage/LocalChunkManager.h",
"repo_id": "milvus",
"token_count": 1280
} | 1,665 |
import {
BaseCumulativeTransformOutputParser,
BaseCumulativeTransformOutputParserInput,
} from "./transform.js";
import { Operation, compare } from "../utils/json_patch.js";
import { sax } from "../utils/sax-js/sax.js";
import { ChatGeneration, Generation } from "../outputs.js";
export const XML_FORMAT_INSTRUCTION... | langchainjs/langchain-core/src/output_parsers/xml.ts/0 | {
"file_path": "langchainjs/langchain-core/src/output_parsers/xml.ts",
"repo_id": "langchainjs",
"token_count": 1824
} | 828 |
import * as uuid from "uuid";
import { Document } from "@langchain/core/documents";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { VectorStore } from "@langchain/core/vectorstores";
import {
BaseCallbackConfig,
Call... | langchainjs/libs/langchain-community/src/vectorstores/vectara.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/vectara.ts",
"repo_id": "langchainjs",
"token_count": 7539
} | 1,003 |
#!/usr/bin/env python
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | accelerate/examples/by_feature/megatron_lm_gpt_pretraining.py/0 | {
"file_path": "accelerate/examples/by_feature/megatron_lm_gpt_pretraining.py",
"repo_id": "accelerate",
"token_count": 12432
} | 8 |
from abc import ABC
from typing import Any, Dict, Optional, Tuple
from langchain_community.chat_message_histories.in_memory import ChatMessageHistory
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.memory import BaseMemory
from langchain_core.messages import AIMessage, HumanMessage
f... | langchain/libs/langchain/langchain/memory/chat_memory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_memory.py",
"repo_id": "langchain",
"token_count": 883
} | 546 |
from langchain_community.utilities.zapier import ZapierNLAWrapper
__all__ = ["ZapierNLAWrapper"]
| langchain/libs/langchain/langchain/utilities/zapier.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/zapier.py",
"repo_id": "langchain",
"token_count": 35
} | 579 |
"""Vector-store based data structures."""
from llama_index.legacy.indices.vector_store.base import (
GPTVectorStoreIndex,
VectorStoreIndex,
)
from llama_index.legacy.indices.vector_store.retrievers import (
VectorIndexAutoRetriever,
VectorIndexRetriever,
)
__all__ = [
"VectorStoreIndex",
"Vect... | llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/__init__.py",
"repo_id": "llama_index",
"token_count": 154
} | 1,607 |
---
sidebar_label: Retrieval
sidebar_position: 1
sidebar_class_name: hidden
---
# Retrieval
Many LLM applications require user-specific data that is not part of the model's training set.
The primary way of accomplishing this is through Retrieval Augmented Generation (RAG).
In this process, external data is _retrieved... | langchainjs/docs/core_docs/docs/modules/data_connection/index.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/index.mdx",
"repo_id": "langchainjs",
"token_count": 864
} | 757 |
<jupyter_start><jupyter_text>Connect to templateIn `server.py`, set -```add_routes(app, chain_ext, path="/rag_singlestore")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app_singlestore = RemoteRunnable("http://0.0.0.0:8001/rag_singlestore")
rag_app_singlestore.invoke("How does agent memory work?")<j... | langchain/templates/rag-singlestoredb/rag_singlestoredb.ipynb/0 | {
"file_path": "langchain/templates/rag-singlestoredb/rag_singlestoredb.ipynb",
"repo_id": "langchain",
"token_count": 133
} | 668 |
// 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/unittest/test_reduce.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_reduce.cpp",
"repo_id": "milvus",
"token_count": 2549
} | 1,904 |
# coding=utf-8
# Copyright 2020 The Facebook AI Research Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | transformers/src/transformers/models/fsmt/modeling_fsmt.py/0 | {
"file_path": "transformers/src/transformers/models/fsmt/modeling_fsmt.py",
"repo_id": "transformers",
"token_count": 25668
} | 636 |
# Introduction to 🤗 Diffusers
<CourseFloatingBanner unit={1}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Introduction to Diffusers", value: "https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/units/en/unit1/introduction_to_diffusers.ipynb"},
{label: "I... | diffusion-models-class/units/en/unit1/2.mdx/0 | {
"file_path": "diffusion-models-class/units/en/unit1/2.mdx",
"repo_id": "diffusion-models-class",
"token_count": 8144
} | 294 |
# 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/models/detr/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/detr/__init__.py",
"repo_id": "transformers",
"token_count": 915
} | 650 |
// 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/dml_channels_test.go/0 | {
"file_path": "milvus/internal/rootcoord/dml_channels_test.go",
"repo_id": "milvus",
"token_count": 3653
} | 1,783 |
import csv
from io import TextIOWrapper
from typing import Any, Dict, List, Optional, Sequence
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.helpers import detect_file_encodings
from langchain_community.document... | langchain/libs/community/langchain_community/document_loaders/csv_loader.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/csv_loader.py",
"repo_id": "langchain",
"token_count": 2594
} | 253 |
import pytest
import torch
from copy import copy
from transformers import AutoTokenizer
from text_generation_server.pb import generate_pb2
from text_generation_server.models.causal_lm import CausalLM, CausalLMBatch
@pytest.fixture(scope="session")
def default_causal_lm():
return CausalLM("gpt2")
@pytest.fixtu... | text-generation-inference/server/tests/models/test_causal_lm.py/0 | {
"file_path": "text-generation-inference/server/tests/models/test_causal_lm.py",
"repo_id": "text-generation-inference",
"token_count": 5345
} | 419 |
# Zilliz
>[Zilliz Cloud](https://zilliz.com/doc/quick_start) is a fully managed service on cloud for `LF AI Milvus®`,
## Installation and Setup
Install the Python SDK:
```bash
pip install pymilvus
```
## Vectorstore
A wrapper around Zilliz indexes allows you to use it as a vectorstore,
whether for semantic search... | langchain/docs/docs/integrations/providers/zilliz.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/zilliz.mdx",
"repo_id": "langchain",
"token_count": 160
} | 155 |
# coding=utf-8
# Copyright 2023 Meta AI, EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compar... | transformers/src/transformers/models/llama/modeling_flax_llama.py/0 | {
"file_path": "transformers/src/transformers/models/llama/modeling_flax_llama.py",
"repo_id": "transformers",
"token_count": 12889
} | 691 |
"""Test MyScale indexes."""
from typing import List, cast
import pytest
from llama_index.legacy.indices.vector_store.base import VectorStoreIndex
from llama_index.legacy.storage.storage_context import StorageContext
try:
import clickhouse_connect
except ImportError:
clickhouse_connect = None # type: ignore
... | llama_index/llama-index-legacy/tests/indices/vector_store/test_myscale.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/vector_store/test_myscale.py",
"repo_id": "llama_index",
"token_count": 1549
} | 1,624 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/mluke/convert_mluke_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mluke/convert_mluke_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4002
} | 694 |
# Hazy Research
This page covers how to use the Hazy Research ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific Hazy Research wrappers.
## Installation and Setup
- To use the `manifest`, install it with `pip install manifest-ml`
## Wrappers
### LLM
The... | langchain/docs/docs/integrations/providers/hazy_research.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/hazy_research.mdx",
"repo_id": "langchain",
"token_count": 160
} | 148 |
"""Wrapper around Epsilla vector database."""
from __future__ import annotations
import logging
import uuid
from typing import TYPE_CHECKING, Any, Iterable, List, Optional, Type
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import Vecto... | langchain/libs/community/langchain_community/vectorstores/epsilla.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/epsilla.py",
"repo_id": "langchain",
"token_count": 6631
} | 325 |
import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional
from .logging import get_logger
_emitted_deprecation_warnings = set()
logger = get_logger(__name__)
def deprecated(help_message: Optional[str] = None):
"""Decorator to mark a class or a function as depr... | datasets/src/datasets/utils/deprecation_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/deprecation_utils.py",
"repo_id": "datasets",
"token_count": 1426
} | 149 |
import importlib
import shutil
import textwrap
import pytest
from datasets import ClassLabel, DownloadManager, Features, Value
from datasets.data_files import DataFilesDict, get_data_patterns
from datasets.download.streaming_download_manager import StreamingDownloadManager
from datasets.packaged_modules.folder_based_... | datasets/tests/packaged_modules/test_folder_based_builder.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_folder_based_builder.py",
"repo_id": "datasets",
"token_count": 8915
} | 147 |
# Semantic Chunking Llama Pack
This LlamaPack implements the semantic chunking algorithm first proposed by Greg Kamradt in his [Five Levels of Text Splitting](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb) tutorial.
How it works:
- Split text into sentences.
... | llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/README.md",
"repo_id": "llama_index",
"token_count": 334
} | 1,683 |
// 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/event_manager_test.go/0 | {
"file_path": "milvus/internal/datanode/event_manager_test.go",
"repo_id": "milvus",
"token_count": 5954
} | 1,801 |
#!/usr/bin/env python
# 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/L... | transformers/src/transformers/tools/image_captioning.py/0 | {
"file_path": "transformers/src/transformers/tools/image_captioning.py",
"repo_id": "transformers",
"token_count": 564
} | 783 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,508 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Firestore Chat Memory
For longer-term persistence across chat sessions, you can swap out the default in-memory `chatHistory` that backs chat memory classes like `BufferMemory` for a firestore.
## Setup
First, install the Firebase admi... | langchainjs/docs/core_docs/docs/integrations/chat_memory/firestore.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat_memory/firestore.mdx",
"repo_id": "langchainjs",
"token_count": 922
} | 755 |
# pip install openrlbenchmark==0.2.1a5
# see https://github.com/openrlbenchmark/openrlbenchmark#get-started for documentation
echo "we deal with $TAGS_STRING"
python -m openrlbenchmark.rlops_multi_metrics \
--filters '?we=huggingface&wpn=trl&xaxis=_step&ceik=trl_ppo_trainer_config.value.reward_model&cen=trl_ppo_tr... | trl/benchmark/benchmark_level2_plot.sh/0 | {
"file_path": "trl/benchmark/benchmark_level2_plot.sh",
"repo_id": "trl",
"token_count": 632
} | 804 |
# coding=utf-8
# Copyright 2021 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/chinese_clip/test_image_processing_chinese_clip.py/0 | {
"file_path": "transformers/tests/models/chinese_clip/test_image_processing_chinese_clip.py",
"repo_id": "transformers",
"token_count": 2634
} | 711 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,572 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,526 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/result.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/result.go",
"repo_id": "milvus",
"token_count": 5704
} | 1,912 |
# coding=utf-8
# Copyright 2024 Harutatsu Akiyama and HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_instruction_pix2pix.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_instruction_pix2pix.py",
"repo_id": "diffusers",
"token_count": 3114
} | 288 |
import time
import pytest
import json
from time import sleep
from pymilvus import connections
from chaos.checker import (InsertChecker,
UpsertChecker,
FlushChecker,
SearchChecker,
QueryChecker,
... | milvus/tests/python_client/chaos/testcases/test_concurrent_operation.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_concurrent_operation.py",
"repo_id": "milvus",
"token_count": 2058
} | 2,117 |
from typing import Any, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
class Html2TextTransformer(BaseDocumentTransformer):
"""Replace occurrences of a particular search pattern with a replacement string
Arguments:
ignore_links: Whether links should be ignored; defau... | langchain/libs/community/langchain_community/document_transformers/html2text.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/html2text.py",
"repo_id": "langchain",
"token_count": 739
} | 254 |
# 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/utils/peft_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/peft_utils.py",
"repo_id": "diffusers",
"token_count": 4355
} | 277 |
from langchain_experimental.autonomous_agents.baby_agi.baby_agi import BabyAGI
from langchain_experimental.autonomous_agents.baby_agi.task_creation import (
TaskCreationChain,
)
from langchain_experimental.autonomous_agents.baby_agi.task_execution import (
TaskExecutionChain,
)
from langchain_experimental.auton... | langchain/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/autonomous_agents/baby_agi/__init__.py",
"repo_id": "langchain",
"token_count": 177
} | 415 |
import logging
from typing import Dict, Optional, Tuple
import pytest
from chromadb.api import AdminAPI
import chromadb.api.types as types
from chromadb.api.client import AdminClient, Client
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT
from chromadb.test.property.test_collections import CollectionStateM... | chroma/chromadb/test/property/test_collections_with_database_tenant.py/0 | {
"file_path": "chroma/chromadb/test/property/test_collections_with_database_tenant.py",
"repo_id": "chroma",
"token_count": 1597
} | 26 |
[tool.poetry]
name = "anthropic-iterative-search"
version = "0.0.1"
description = "A virtual research assistant with the ability to search Wikipedia and answer questions"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
anthropic = "^0.5.0"
wikipedia = "^1.4.0"
[... | langchain/templates/anthropic-iterative-search/pyproject.toml/0 | {
"file_path": "langchain/templates/anthropic-iterative-search/pyproject.toml",
"repo_id": "langchain",
"token_count": 270
} | 701 |
from transformers import Wav2Vec2FeatureExtractor
class CustomFeatureExtractor(Wav2Vec2FeatureExtractor):
pass
| transformers/utils/test_module/custom_feature_extraction.py/0 | {
"file_path": "transformers/utils/test_module/custom_feature_extraction.py",
"repo_id": "transformers",
"token_count": 37
} | 871 |
# 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/multitask_prompt_tuning/model.py/0 | {
"file_path": "peft/src/peft/tuners/multitask_prompt_tuning/model.py",
"repo_id": "peft",
"token_count": 2093
} | 337 |
/* eslint-disable no-process-env */
import { ChatOpenAI } from "@langchain/openai";
import { SerpAPI } from "@langchain/community/tools/serpapi";
import { PlanAndExecuteAgentExecutor } from "../agent_executor.js";
import { Calculator } from "../../../tools/calculator.js";
test.skip("Run agent on a simple input", async... | langchainjs/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts",
"repo_id": "langchainjs",
"token_count": 625
} | 941 |
"""Init params."""
| llama_index/llama-index-legacy/tests/output_parsers/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/output_parsers/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,809 |
<jupyter_start><jupyter_text>OpenAI agent: specifying a forced function call If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-agent-openai
%pip install llama-index-llms-openai
!pip install llama-index
import json
from typing import Sequence... | llama_index/docs/examples/agent/openai_forced_function_call.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_forced_function_call.ipynb",
"repo_id": "llama_index",
"token_count": 587
} | 1,089 |
import time
import copy
import logging
from milvus_benchmark import parser
from milvus_benchmark.runners import utils
from milvus_benchmark.runners.base import BaseRunner
logger = logging.getLogger("milvus_benchmark.runners.insert")
class InsertRunner(BaseRunner):
"""run insert"""
name = "insert_performance"... | milvus/tests/benchmark/milvus_benchmark/runners/insert.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/insert.py",
"repo_id": "milvus",
"token_count": 4760
} | 1,927 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package io
import (
context "context"
mock "github.com/stretchr/testify/mock"
)
// MockBinlogIO is an autogenerated mock type for the BinlogIO type
type MockBinlogIO struct {
mock.Mock
}
type MockBinlogIO_Expecter struct {
mock *mock.Mock
}
func (_m *MockBinl... | milvus/internal/datanode/io/mock_binlogio.go/0 | {
"file_path": "milvus/internal/datanode/io/mock_binlogio.go",
"repo_id": "milvus",
"token_count": 2141
} | 1,776 |
<jupyter_start><jupyter_text>SVM>[Support vector machines (SVMs)](https://scikit-learn.org/stable/modules/svm.htmlsupport-vector-machines) are a set of supervised learning methods used for classification, regression and outliers detection.This notebook goes over how to use a retriever that under the hood uses an `SVM` ... | langchain/docs/docs/integrations/retrievers/svm.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/svm.ipynb",
"repo_id": "langchain",
"token_count": 422
} | 172 |
<jupyter_start><jupyter_text>Guardrails Output Parsing If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai
%pip install llama-index-output-parsers-guardrails
!pip install guardrails-ai<jupyter_output><empty_output><jupyter_text>Dow... | llama_index/docs/examples/output_parsing/GuardrailsDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/output_parsing/GuardrailsDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1694
} | 1,077 |
import pytest
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.storage.index_store.firestore_indexstore import (
FirestoreIndexStore,
)
from llama_index.legacy.storage.kvstore.firestore_kvstore import FirestoreKVStore
try:
from google.cloud import firestore_v1 as fire... | llama_index/llama-index-legacy/tests/storage/index_store/test_firestore_indexstore.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/index_store/test_firestore_indexstore.py",
"repo_id": "llama_index",
"token_count": 307
} | 1,680 |
""" EdgeNeXt
Paper: `EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications`
- https://arxiv.org/abs/2206.10589
Original code and weights from https://github.com/mmaaz60/EdgeNeXt
Modifications and additions for timm by / Copyright 2022, Ross Wightman
"""
import math
from colle... | pytorch-image-models/timm/models/edgenext.py/0 | {
"file_path": "pytorch-image-models/timm/models/edgenext.py",
"repo_id": "pytorch-image-models",
"token_count": 11040
} | 376 |
.. _Ref-Indices-Tree:
Tree Index
==========
Building the Tree Index
.. automodule:: llama_index.core.indices.tree
:members:
:inherited-members:
| llama_index/docs/api_reference/indices/tree.rst/0 | {
"file_path": "llama_index/docs/api_reference/indices/tree.rst",
"repo_id": "llama_index",
"token_count": 57
} | 1,080 |
from langchain_core.runnables.fallbacks import RunnableWithFallbacks
__all__ = ["RunnableWithFallbacks"]
| langchain/libs/langchain/langchain/schema/runnable/fallbacks.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/runnable/fallbacks.py",
"repo_id": "langchain",
"token_count": 34
} | 543 |
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