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---
sidebar_class_name: hidden
---
# Analyze Document
The AnalyzeDocumentChain can be used as an end-to-end to chain. This chain takes in a single document, splits it up, and then runs it through a CombineDocumentsChain.
import CodeBlock from "@theme/CodeBlock";
import AnalyzeDocumentExample from "@examples/chains/a... | langchainjs/docs/core_docs/docs/modules/chains/additional/analyze_document.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/additional/analyze_document.mdx",
"repo_id": "langchainjs",
"token_count": 202
} | 736 |
"""Weaviate reader."""
from typing import Any, List, Optional
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document
class WeaviateReader(BaseReader):
"""Weaviate reader.
Retrieves documents from Weaviate through vector lookup. Allows option
to concatenate... | llama_index/llama-index-legacy/llama_index/legacy/readers/weaviate/reader.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/weaviate/reader.py",
"repo_id": "llama_index",
"token_count": 1820
} | 1,767 |
"""Notion tool spec."""
from llama_index.tools.notion.base import (
NotionToolSpec,
)
__all__ = [
"NotionToolSpec",
]
| llama_index/llama-index-integrations/tools/llama-index-tools-notion/llama_index/tools/notion/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-notion/llama_index/tools/notion/__init__.py",
"repo_id": "llama_index",
"token_count": 53
} | 1,447 |
import logging
from typing import Any, Dict, List, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
logger = logging.getLogger(__name__)
def clean_url(url: str) -> str:
"""Remove trailing slash and /api from url if present... | langchain/libs/community/langchain_community/llms/koboldai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/koboldai.py",
"repo_id": "langchain",
"token_count": 2228
} | 280 |
{
"name": "@langchain/core",
"version": "0.1.29",
"description": "Core LangChain.js abstractions and schemas",
"type": "module",
"engines": {
"node": ">=18"
},
"main": "./index.js",
"types": "./index.d.ts",
"repository": {
"type": "git",
"url": "git@github.com:langchain-ai/langchainjs.git"... | langchainjs/langchain-core/package.json/0 | {
"file_path": "langchainjs/langchain-core/package.json",
"repo_id": "langchainjs",
"token_count": 10589
} | 871 |
import { InputValues, MemoryVariables } from "@langchain/core/memory";
import { getBufferString } from "@langchain/core/messages";
import {
BaseChatMemory,
BaseChatMemoryInput,
} from "@langchain/community/memory/chat_memory";
/**
* Interface for the input parameters of the `BufferMemory` class.
*/
export interf... | langchainjs/langchain/src/memory/buffer_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/buffer_memory.ts",
"repo_id": "langchainjs",
"token_count": 1056
} | 905 |
#!/bin/bash
set -x
func() {
echo "Usage:"
echo "run.sh [-p Password]"
echo "Password, the password of root"
exit -1
}
while getopts "hp:" OPT;
do
case $OPT in
p) Password="$OPTARG";;
h) func;;
?) func;;
esac
done
pw=$Password
# start test standalone reinstall
bash test.sh -m standalone -t... | milvus/tests/python_client/deploy/run.sh/0 | {
"file_path": "milvus/tests/python_client/deploy/run.sh",
"repo_id": "milvus",
"token_count": 210
} | 1,905 |
# Storing
## Concept
LlamaIndex provides a high-level interface for ingesting, indexing, and querying your external data.
Under the hood, LlamaIndex also supports swappable **storage components** that allows you to customize:
- **Document stores**: where ingested documents (i.e., `Node` objects) are stored,
- **Ind... | llama_index/docs/module_guides/storing/storing.md/0 | {
"file_path": "llama_index/docs/module_guides/storing/storing.md",
"repo_id": "llama_index",
"token_count": 814
} | 1,150 |
/**
* Chunk array into arrays of length at most `chunkSize`
*
* @param chunkSize must be greater than or equal to 1
*/
export function chunk<T extends unknown[] | string>(arr: T, chunkSize: number): T[] {
if (isNaN(chunkSize) || chunkSize < 1) {
throw new RangeError("Invalid chunk size: " + chunkSize);
}
if (... | chat-ui/src/lib/utils/chunk.ts/0 | {
"file_path": "chat-ui/src/lib/utils/chunk.ts",
"repo_id": "chat-ui",
"token_count": 295
} | 102 |
# Konko
All functionality related to Konko
>[Konko AI](https://www.konko.ai/) provides a fully managed API to help application developers
>1. **Select** the right open source or proprietary LLMs for their application
>2. **Build** applications faster with integrations to leading application frameworks and fully manag... | langchain/docs/docs/integrations/providers/konko.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/konko.mdx",
"repo_id": "langchain",
"token_count": 801
} | 139 |
package proxy
import (
"encoding/json"
"fmt"
"math"
"reflect"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/util/funcutil"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/para... | milvus/internal/proxy/validate_util.go/0 | {
"file_path": "milvus/internal/proxy/validate_util.go",
"repo_id": "milvus",
"token_count": 6848
} | 1,856 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-rag-evaluator/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,674 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.gemini import GeminiEmbedding
def test_embedding_class():
emb = GeminiEmbedding()
assert isinstance(emb, BaseEmbedding)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/tests/test_embeddings_gemini.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/tests/test_embeddings_gemini.py",
"repo_id": "llama_index",
"token_count": 75
} | 1,180 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/controlnet.md/0 | {
"file_path": "diffusers/docs/source/ko/training/controlnet.md",
"repo_id": "diffusers",
"token_count": 7782
} | 204 |
{ "embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {} }
| llama_index/llama-index-legacy/storage/image__vector_store.json/0 | {
"file_path": "llama_index/llama-index-legacy/storage/image__vector_store.json",
"repo_id": "llama_index",
"token_count": 32
} | 1,790 |
"""SQL agent."""
from __future__ import annotations
import warnings
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Literal,
Optional,
Sequence,
Union,
cast,
)
from langchain_core.messages import AIMessage, SystemMessage
from langchain_core.prompts import BasePromptTemplate, P... | langchain/libs/community/langchain_community/agent_toolkits/sql/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/sql/base.py",
"repo_id": "langchain",
"token_count": 3755
} | 227 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/mbart.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mbart.md",
"repo_id": "transformers",
"token_count": 3130
} | 447 |
package writebuffer
import (
"time"
"github.com/milvus-io/milvus/internal/allocator"
"github.com/milvus-io/milvus/internal/datanode/metacache"
"github.com/milvus-io/milvus/internal/datanode/syncmgr"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
const (
// DeletePolicyBFPKOracle is the const config value ... | milvus/internal/datanode/writebuffer/options.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/options.go",
"repo_id": "milvus",
"token_count": 719
} | 1,929 |
"""Test yamlOutputParser"""
from enum import Enum
from typing import Optional
import pytest
from langchain_core.exceptions import OutputParserException
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain.output_parsers.yaml import YamlOutputParser
class Actions(Enum):
SEARCH = "Search"
C... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py",
"repo_id": "langchain",
"token_count": 891
} | 604 |
import pytest
from langchain_community.llms.openai import OpenAI
from langchain_community.utils.openai import is_openai_v1
def _openai_v1_installed() -> bool:
try:
return is_openai_v1()
except Exception as _:
return False
@pytest.mark.requires("openai")
def test_openai_model_param() -> None... | langchain/libs/community/tests/unit_tests/llms/test_openai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_openai.py",
"repo_id": "langchain",
"token_count": 727
} | 378 |
from llama_index.agent.openai import (
OpenAIAgent,
OpenAIAgentWorker,
OpenAIAssistantAgent,
)
from llama_index.core.agent.types import BaseAgent, BaseAgentWorker
def test_classes():
names_of_base_classes = [b.__name__ for b in OpenAIAgent.__mro__]
assert BaseAgent.__name__ in names_of_base_classe... | llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/test_agent_openai.py/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/test_agent_openai.py",
"repo_id": "llama_index",
"token_count": 229
} | 1,341 |
from typing import Any, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class BaseDataFrameLoader(BaseLoader):
def __init__(self, data_frame: Any, *, page_content_column: str = "text"):
"""Initialize with dataframe object.
... | langchain/libs/community/langchain_community/document_loaders/dataframe.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/dataframe.py",
"repo_id": "langchain",
"token_count": 810
} | 245 |
package indexparamcheck
import (
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/metric"
)
func Test_raftIVFPQChecker_CheckTrain(t *testing.T) {
validParams := map[string]string{
DIM: strconv.Itoa(128),
... | milvus/pkg/util/indexparamcheck/raft_ivf_pq_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/raft_ivf_pq_checker_test.go",
"repo_id": "milvus",
"token_count": 2209
} | 2,111 |
[tool.poetry]
name = "sql-pgvector"
version = "0.0.1"
description = "Use pgvector for combining postgreSQL with semantic search / RAG"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
psycopg2 = "^2.9.9"
tiktoken = "^0.5.1"
[tool.poetry.group.dev.de... | langchain/templates/sql-pgvector/pyproject.toml/0 | {
"file_path": "langchain/templates/sql-pgvector/pyproject.toml",
"repo_id": "langchain",
"token_count": 288
} | 705 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,436 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { z } from "zod";
import { OpenAIClient } from "@langchain/openai";
import { StructuredTool } from "@langchain/core/tools";
import { AgentExecutor } from "../../../agents/executor.js";
import { OpenAIAssistantRunna... | langchainjs/langchain/src/experimental/openai_assistant/tests/openai_assistant.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/openai_assistant/tests/openai_assistant.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2178
} | 962 |
"""Test the bash utility."""
import re
import subprocess
import sys
from pathlib import Path
import pytest
from langchain_experimental.llm_bash.bash import BashProcess
@pytest.mark.skipif(
sys.platform.startswith("win"), reason="Test not supported on Windows"
)
def test_pwd_command() -> None:
"""Test correc... | langchain/libs/experimental/tests/unit_tests/test_bash.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_bash.py",
"repo_id": "langchain",
"token_count": 1115
} | 429 |
// Code generated by command: go run ip.go -out ip_amd64.s -stubs ip_stub_amd64.go. DO NOT EDIT.
package asm
// inner product between x and y
func IP(x []float32, y []float32) float32
| milvus/pkg/util/distance/asm/ip_stub_amd64.go/0 | {
"file_path": "milvus/pkg/util/distance/asm/ip_stub_amd64.go",
"repo_id": "milvus",
"token_count": 67
} | 1,899 |
from langchain_community.tools.wolfram_alpha.tool import WolframAlphaQueryRun
__all__ = ["WolframAlphaQueryRun"]
| langchain/libs/langchain/langchain/tools/wolfram_alpha/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/wolfram_alpha/tool.py",
"repo_id": "langchain",
"token_count": 34
} | 571 |
<jupyter_start><jupyter_text>Faithfulness EvaluatorThis notebook uses the `FaithfulnessEvaluator` module to measure if the response from a query engine matches any source nodes. This is useful for measuring if the response was hallucinated. The data is extracted from the [New York City](https://en.wikipedia.org/wiki/... | llama_index/docs/examples/evaluation/faithfulness_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/faithfulness_eval.ipynb",
"repo_id": "llama_index",
"token_count": 1304
} | 1,101 |
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use candle_transformers::models::stable_diffusion;
use candle_transformers::models::wuerstchen;
use anyhow::{Error as E, Result};
use candle::{DType, Device, IndexOp, Tensor};
use clap::Parser;
use tokeniz... | candle/candle-examples/examples/wuerstchen/main.rs/0 | {
"file_path": "candle/candle-examples/examples/wuerstchen/main.rs",
"repo_id": "candle",
"token_count": 6372
} | 51 |
pipeline {
options {
timestamps()
}
agent {
kubernetes {
label "milvus-test"
defaultContainer 'main'
yamlFile "build/ci/jenkins/pod/chaos-test.yaml"
customWorkspace '/home/jenkins/agent/workspace'
// idle 5 minutes to wait clean up ... | milvus/build/ci/jenkins/DeployTest.groovy/0 | {
"file_path": "milvus/build/ci/jenkins/DeployTest.groovy",
"repo_id": "milvus",
"token_count": 10764
} | 1,744 |
# coding=utf-8
# Copyright 2024 The Seamless 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... | transformers/src/transformers/models/wav2vec2_bert/modeling_wav2vec2_bert.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2_bert/modeling_wav2vec2_bert.py",
"repo_id": "transformers",
"token_count": 32032
} | 698 |
<jupyter_start><jupyter_text>Arxiv>[arXiv](https://arxiv.org/) is an open-access archive for 2 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics.This notebook shows how to ... | langchain/docs/docs/integrations/retrievers/arxiv.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/arxiv.ipynb",
"repo_id": "langchain",
"token_count": 1085
} | 165 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/models/unets/test_unet_2d_blocks.py/0 | {
"file_path": "diffusers/tests/models/unets/test_unet_2d_blocks.py",
"repo_id": "diffusers",
"token_count": 5186
} | 280 |
import { createClient } from "redis";
import { OpenAIEmbeddings } from "@langchain/openai";
import { RedisVectorStore } from "@langchain/redis";
import { Document } from "@langchain/core/documents";
const client = createClient({
url: process.env.REDIS_URL ?? "redis://localhost:6379",
});
await client.connect();
con... | langchainjs/examples/src/indexes/vector_stores/redis/redis.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/redis/redis.ts",
"repo_id": "langchainjs",
"token_count": 333
} | 880 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,285 |
"""Test Minimax API wrapper."""
from langchain_community.llms.minimax import Minimax
def test_minimax_call() -> None:
"""Test valid call to minimax."""
llm = Minimax(max_tokens=10)
output = llm("Hello world!")
assert isinstance(output, str)
def test_minimax_call_successful() -> None:
"""Test val... | langchain/libs/community/tests/integration_tests/llms/test_minimax.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_minimax.py",
"repo_id": "langchain",
"token_count": 268
} | 342 |
# Copyright 2024 Shuchen Xue, etc. in University of Chinese Academy of Sciences Team and 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
#
# htt... | diffusers/src/diffusers/schedulers/scheduling_sasolver.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_sasolver.py",
"repo_id": "diffusers",
"token_count": 24223
} | 252 |
import type { DataSource, DataSourceOptions } from "typeorm";
import { PromptTemplate } from "@langchain/core/prompts";
import {
DEFAULT_SQL_DATABASE_PROMPT,
SQL_SAP_HANA_PROMPT,
SQL_MSSQL_PROMPT,
SQL_MYSQL_PROMPT,
SQL_POSTGRES_PROMPT,
SQL_SQLITE_PROMPT,
SQL_ORACLE_PROMPT,
} from "../chains/sql_db/sql_db_... | langchainjs/langchain/src/util/sql_utils.ts/0 | {
"file_path": "langchainjs/langchain/src/util/sql_utils.ts",
"repo_id": "langchainjs",
"token_count": 4483
} | 933 |
import { Ollama } from "@langchain/community/llms/ollama";
const ollama = new Ollama({
baseUrl: "http://localhost:11434", // Default value
model: "llama2", // Default value
});
const stream = await ollama.stream(
`Translate "I love programming" into German.`
);
const chunks = [];
for await (const chunk of stre... | langchainjs/examples/src/models/llm/ollama.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/ollama.ts",
"repo_id": "langchainjs",
"token_count": 292
} | 875 |
import { jest, afterEach, beforeEach, describe, expect } from "@jest/globals";
import { WolframAlphaTool } from "../wolframalpha.js";
const MOCK_APP_ID = "[MOCK_APP_ID]";
const QUERY_1 = "What is 2 + 2?";
const MOCK_ANSWER = "[MOCK_ANSWER]";
describe("wolfram alpha test suite", () => {
// eslint-disable-next-line @... | langchainjs/libs/langchain-community/src/tools/tests/wolframalpha.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/tests/wolframalpha.test.ts",
"repo_id": "langchainjs",
"token_count": 540
} | 974 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/deformable_detr/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/deformable_detr/__init__.py",
"repo_id": "transformers",
"token_count": 963
} | 599 |
# LlamaIndex Core
The core python package to the LlamaIndex library. Core classes and abstractions
represent the foundational building blocks for LLM applications, most notably,
RAG. Such building blocks include abstractions for LLMs, Vector Stores, Embeddings,
Storage, Callables and several others.
We've designed th... | llama_index/llama-index-core/README.md/0 | {
"file_path": "llama_index/llama-index-core/README.md",
"repo_id": "llama_index",
"token_count": 150
} | 1,160 |
// 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/segcore/reduce_c.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/reduce_c.cpp",
"repo_id": "milvus",
"token_count": 1442
} | 1,740 |
package datacoord
import (
"testing"
"github.com/samber/lo"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus/internal/proto/datapb"
... | milvus/internal/datacoord/compaction_view_manager_test.go/0 | {
"file_path": "milvus/internal/datacoord/compaction_view_manager_test.go",
"repo_id": "milvus",
"token_count": 2212
} | 1,691 |
import * as url from "node:url";
import * as path from "node:path";
import { test, expect } from "@jest/globals";
import { Document } from "@langchain/core/documents";
import { ChatGPTLoader } from "../fs/chatgpt.js";
test("Test ChatGPT loader to load all documents", async () => {
const filePath = path.resolve(
... | langchainjs/langchain/src/document_loaders/tests/chatgpt.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/chatgpt.test.ts",
"repo_id": "langchainjs",
"token_count": 908
} | 892 |
# Returning structured output
Here is a simple example of an agent which uses LCEL, a web search tool (Tavily) and a structured output parser to create an OpenAI functions agent that returns source chunks.
The first step is to import necessary modules
import IntegrationInstallTooltip from "@mdx_components/integratio... | langchainjs/docs/core_docs/docs/modules/agents/how_to/agent_structured.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/how_to/agent_structured.mdx",
"repo_id": "langchainjs",
"token_count": 2138
} | 779 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Searxng Search tool
The `SearxngSearch` tool connects your agents and chains to the internet.
A wrapper around the SearxNG API, this tool is useful for performing meta-search engine queries using the SearxNG API. It is particularly hel... | langchainjs/docs/core_docs/docs/integrations/tools/searxng.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/searxng.mdx",
"repo_id": "langchainjs",
"token_count": 202
} | 741 |
// 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/index_c.cpp/0 | {
"file_path": "milvus/internal/core/src/indexbuilder/index_c.cpp",
"repo_id": "milvus",
"token_count": 12121
} | 1,874 |
python_sources()
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,387 |
import { test, expect } from "@jest/globals";
import { PromptTemplate } from "@langchain/core/prompts";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { LLMResult } from "@langchain/core/outputs";
import { ConstitutionalChain } from "../constitutional_ai/constitutional_chain.js";
import { Consti... | langchainjs/langchain/src/chains/tests/constitutional_chain.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/constitutional_chain.test.ts",
"repo_id": "langchainjs",
"token_count": 567
} | 932 |
<jupyter_start><jupyter_text>Jupyter Notebook to test Rayyan Loader Install dependencies```bashpip install -r notebook-requirements.txt``` Configure OpenAI with your API keyMake sure you have a file named `.env` in the same directory as this notebook, with the following contents:```OPENAI_API_KEY=OPENAI_ORGANIZATION=... | llama_index/llama-index-integrations/readers/llama-index-readers-rayyan/examples/rayyan-loader.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-rayyan/examples/rayyan-loader.ipynb",
"repo_id": "llama_index",
"token_count": 1266
} | 1,421 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-litellm/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-litellm/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,300 |
<!--版权所有 2020 年 HuggingFace 团队。保留所有权利。
根据 Apache 许可证 2.0 版本许可，除非符合许可证的规定，否则您不得使用此文件。您可以在以下网址获取许可证的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或书面同意，否则依照许可证分发的软件是基于“原样”提供的，不附带任何明示或暗示的担保或条件。有关特定语言下权限的限制和限制，请参阅许可证。-->
# 模型
基类 [`PreTrainedModel`]、[`TFPreTrainedModel`] 和 [`FlaxPreTrainedModel`] 实现了从本地文件或目录加载... | transformers/docs/source/zh/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/model.md",
"repo_id": "transformers",
"token_count": 3605
} | 563 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/auto/configuration_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/configuration_auto.py",
"repo_id": "transformers",
"token_count": 24222
} | 604 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.huggingface import HuggingFaceInferenceAPI, HuggingFaceLLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in HuggingFaceInferenceAPI.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
names_of_base_classes ... | llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/tests/test_llms_huggingface.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/tests/test_llms_huggingface.py",
"repo_id": "llama_index",
"token_count": 159
} | 1,223 |
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoModelForQuestionAnswering,
... | transformers/examples/legacy/pytorch-lightning/lightning_base.py/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/lightning_base.py",
"repo_id": "transformers",
"token_count": 6603
} | 522 |
<jupyter_start><jupyter_text>Timescale Vector (Postgres)>[Timescale Vector](https://www.timescale.com/ai?utm_campaign=vectorlaunch&utm_source=langchain&utm_medium=referral) is `PostgreSQL++` vector database for AI applications.This notebook shows how to use the Postgres vector database `Timescale Vector`. You'll learn ... | langchain/docs/docs/integrations/vectorstores/timescalevector.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/timescalevector.ipynb",
"repo_id": "langchain",
"token_count": 10968
} | 196 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.cpp",
"repo_id": "transformers",
"token_count": 406
} | 636 |
"""Init file."""
| llama_index/llama-index-legacy/tests/token_predictor/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/token_predictor/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,762 |
from typing import Any, Dict, Sequence, Tuple
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
MessageRole,
)
from llama_index.core.bridge.pydantic impo... | llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/llama_index/multi_modal_llms/ollama/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/llama_index/multi_modal_llms/ollama/base.py",
"repo_id": "llama_index",
"token_count": 3329
} | 1,341 |
# 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/src/transformers/models/conditional_detr/configuration_conditional_detr.py/0 | {
"file_path": "transformers/src/transformers/models/conditional_detr/configuration_conditional_detr.py",
"repo_id": "transformers",
"token_count": 5203
} | 636 |
"""Flat reader."""
from pathlib import Path
from typing import Any, Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class FlatReader(BaseReader):
"""Flat reader.
Extract raw text from a file and save the file type in the metadata
"""... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/flat/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/flat/base.py",
"repo_id": "llama_index",
"token_count": 365
} | 1,347 |
import { CohereClient, Cohere } from "cohere-ai";
import {
MessageType,
type BaseMessage,
MessageContent,
AIMessage,
} from "@langchain/core/messages";
import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/m... | langchainjs/libs/langchain-cohere/src/chat_models.ts/0 | {
"file_path": "langchainjs/libs/langchain-cohere/src/chat_models.ts",
"repo_id": "langchainjs",
"token_count": 4238
} | 976 |
"""Metaphor tool spec."""
import datetime
from typing import List, Optional
from llama_index.core.schema import Document
from llama_index.core.tools.tool_spec.base import BaseToolSpec
class MetaphorToolSpec(BaseToolSpec):
"""Metaphor tool spec."""
spec_functions = [
"search",
"retrieve_docu... | llama_index/llama-index-integrations/tools/llama-index-tools-metaphor/llama_index/tools/metaphor/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-metaphor/llama_index/tools/metaphor/base.py",
"repo_id": "llama_index",
"token_count": 2337
} | 1,516 |
# Show best practices for SDXL JAX
import time
import jax
import jax.numpy as jnp
import numpy as np
from flax.jax_utils import replicate
# Let's cache the model compilation, so that it doesn't take as long the next time around.
from jax.experimental.compilation_cache import compilation_cache as cc
from diffusers im... | diffusers/examples/research_projects/sdxl_flax/sdxl_single.py/0 | {
"file_path": "diffusers/examples/research_projects/sdxl_flax/sdxl_single.py",
"repo_id": "diffusers",
"token_count": 1341
} | 218 |
import io
import random
import struct
import tempfile
from contextlib import contextmanager
from typing import List, Union
import numpy as np
import PIL.Image
import PIL.ImageOps
from .import_utils import (
BACKENDS_MAPPING,
is_opencv_available,
)
from .logging import get_logger
global_rng = random.Random()... | diffusers/src/diffusers/utils/export_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/export_utils.py",
"repo_id": "diffusers",
"token_count": 2024
} | 262 |
// 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/task.go/0 | {
"file_path": "milvus/internal/datanode/importv2/task.go",
"repo_id": "milvus",
"token_count": 3224
} | 1,702 |
"""Test Bittensor Validator Endpoint wrapper."""
from langchain_community.llms import NIBittensorLLM
def test_bittensor_call() -> None:
"""Test valid call to validator endpoint."""
llm = NIBittensorLLM(system_prompt="Your task is to answer user prompt.")
output = llm("Say foo:")
assert isinstance(out... | langchain/libs/community/tests/integration_tests/llms/test_bittensor.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_bittensor.py",
"repo_id": "langchain",
"token_count": 110
} | 336 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgstream/mqwrapper/message.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/message.go",
"repo_id": "milvus",
"token_count": 335
} | 1,890 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/tutorials/fast_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/fast_diffusion.md",
"repo_id": "diffusers",
"token_count": 4863
} | 171 |
from typing import Any, List, Optional
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.legacy.embeddings.huggingface_utils... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/instructor.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/instructor.py",
"repo_id": "llama_index",
"token_count": 1513
} | 1,559 |
import logging
from typing import List, Optional
import requests
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.core.schema import NodeWithScore, QueryBundle, Tex... | llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/llama_index/indices/managed/zilliz/retriever.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/llama_index/indices/managed/zilliz/retriever.py",
"repo_id": "llama_index",
"token_count": 1245
} | 1,386 |
""" EfficientNet, MobileNetV3, etc Blocks
Hacked together by / Copyright 2019, Ross Wightman
"""
import torch
import torch.nn as nn
from torch.nn import functional as F
from timm.layers import create_conv2d, DropPath, make_divisible, create_act_layer, get_norm_act_layer
__all__ = [
'SqueezeExcite', 'ConvBnAct',... | pytorch-image-models/timm/models/_efficientnet_blocks.py/0 | {
"file_path": "pytorch-image-models/timm/models/_efficientnet_blocks.py",
"repo_id": "pytorch-image-models",
"token_count": 5589
} | 359 |
import os
from pathlib import Path
from typing import Dict
import pytest
from langchain_core.documents import Document
from pytest_mock import MockerFixture
from langchain_community.document_loaders import CSVLoader, PyPDFLoader
EXAMPLE_DOCS_DIRECTORY = str(Path(__file__).parent.parent.parent / "examples/")
class ... | langchain/libs/community/tests/unit_tests/document_loaders/test_pebblo.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_pebblo.py",
"repo_id": "langchain",
"token_count": 1335
} | 403 |
{
"name": "langchain-nextjs-template",
"version": "0.0.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint",
"format": "prettier --write \"app\""
},
"engines": {
"node": ">=18"
},
"dependencies": {
"@langchain/... | langchain-nextjs-template/package.json/0 | {
"file_path": "langchain-nextjs-template/package.json",
"repo_id": "langchain-nextjs-template",
"token_count": 702
} | 67 |
# (Tensorflow) EfficientNet Lite
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method uniformly... | pytorch-image-models/hfdocs/source/models/tf-efficientnet-lite.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/tf-efficientnet-lite.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3373
} | 377 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["PineconeReader"]
contains_example = false
import_path = "llama_index.readers.pinecone"
[... | llama_index/llama-index-integrations/readers/llama-index-readers-pinecone/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pinecone/pyproject.toml",
"repo_id": "llama_index",
"token_count": 659
} | 1,506 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/ISSUES.md/0 | {
"file_path": "transformers/ISSUES.md",
"repo_id": "transformers",
"token_count": 4684
} | 439 |
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { CustomListOutputParser } from "@langchain/core/output_parsers";
import { RunnableSequence } from "@langchain/core/runnables";
// With a `CustomListOutputParser`, we can parse a list with a specific length and... | langchainjs/examples/src/prompts/custom_list_parser_sequence.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/custom_list_parser_sequence.ts",
"repo_id": "langchainjs",
"token_count": 327
} | 815 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,198 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import { bertProcessing, byteLevelProcessing, robertaProcessing, sequenceProcessing, templateProcessing } from '../../'
describe('bertProcessing', () => {
it('instantiates correctly with only two parameters', () => {
const processor = bertProcessing(['sep'... | tokenizers/bindings/node/lib/bindings/post-processors.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/post-processors.test.ts",
"repo_id": "tokenizers",
"token_count": 1022
} | 406 |
# Copyright 2023 Mistral AI 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-2.0
#
# Unless r... | transformers/src/transformers/models/mistral/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/mistral/__init__.py",
"repo_id": "transformers",
"token_count": 935
} | 712 |
"""Test octoai embeddings."""
from langchain_community.embeddings.octoai_embeddings import (
OctoAIEmbeddings,
)
def test_octoai_embedding_documents() -> None:
"""Test octoai embeddings."""
documents = ["foo bar"]
embedding = OctoAIEmbeddings(
endpoint_url="<endpoint_url>",
octoai_api... | langchain/libs/community/tests/integration_tests/embeddings/test_octoai_embeddings.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_octoai_embeddings.py",
"repo_id": "langchain",
"token_count": 428
} | 349 |
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class CMStochasticIterativeSchedulerTest(SchedulerCommonTest):
scheduler_classes = (CMStochasticIterativeScheduler,)
num_inference_steps = 10
def get_scheduler_config(self, **kwargs):
... | diffusers/tests/schedulers/test_scheduler_consistency_model.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_consistency_model.py",
"repo_id": "diffusers",
"token_count": 3029
} | 298 |
import json
import os
import time
from benedict import benedict
from utils.util_log import test_log as log
from common.cus_resource_opts import CustomResourceOperations as CusResource
template_yaml = os.path.join(os.path.dirname(__file__), 'template/default.yaml')
MILVUS_GRP = 'milvus.io'
# MILVUS_VER = 'v1alpha1'
MIL... | milvus/tests/python_client/customize/milvus_operator.py/0 | {
"file_path": "milvus/tests/python_client/customize/milvus_operator.py",
"repo_id": "milvus",
"token_count": 2995
} | 1,904 |
import { ChatOpenAI, OpenAI } from "@langchain/openai";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { ChatPromptTemplate, PromptTemplate } from "@langchain/core/prompts";
const chatPrompt = ChatPromptTemplate.fromMessages<{ animal: string }>([
[
"system",
"You're a nice assist... | langchainjs/examples/src/guides/fallbacks/chain.ts/0 | {
"file_path": "langchainjs/examples/src/guides/fallbacks/chain.ts",
"repo_id": "langchainjs",
"token_count": 381
} | 797 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/util_test.go/0 | {
"file_path": "milvus/internal/proxy/util_test.go",
"repo_id": "milvus",
"token_count": 24785
} | 1,890 |
// 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/meta_table.go/0 | {
"file_path": "milvus/internal/rootcoord/meta_table.go",
"repo_id": "milvus",
"token_count": 17016
} | 1,854 |
# Spreedly
>[Spreedly](https://docs.spreedly.com/) is a service that allows you to securely store credit cards and use them to transact against any number of payment gateways and third party APIs. It does this by simultaneously providing a card tokenization/vault service as well as a gateway and receiver integration s... | langchain/docs/docs/integrations/providers/spreedly.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/spreedly.mdx",
"repo_id": "langchain",
"token_count": 194
} | 159 |
const keyboardShortcuts = [];
docsearch({
container: "#searchbox",
appId: "74VN1YECLR",
indexName: "gpt-index",
apiKey: "fb20bbeb2c3b7f63f89bacf797bf3a34",
});
| llama_index/docs/_static/js/algolia.js/0 | {
"file_path": "llama_index/docs/_static/js/algolia.js",
"repo_id": "llama_index",
"token_count": 76
} | 1,109 |
import { NodeHandler, ASTParser } from "./base.js";
import { StringLiteralType } from "./types.js";
/**
* Handler for string literal nodes in the LangChain Expression Language.
* Extends the NodeHandler base class.
*/
export class StringLiteralHandler extends NodeHandler {
/**
* Checks if a given node is a str... | langchainjs/langchain/src/output_parsers/expression_type_handlers/string_literal_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/string_literal_handler.ts",
"repo_id": "langchainjs",
"token_count": 466
} | 922 |
"""Reader that pulls in a BoardDocs site."""
import json
from typing import Any, List, Optional
import html2text
import requests
from bs4 import BeautifulSoup
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class BoardDocsReader(BaseReader):
"""BoardDocs doc rea... | llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/llama_index/readers/boarddocs/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-boarddocs/llama_index/readers/boarddocs/base.py",
"repo_id": "llama_index",
"token_count": 1971
} | 1,345 |
<jupyter_start><jupyter_text>Redis>[Redis vector database](https://redis.io/docs/get-started/vector-database/) introduction and langchain integration guide. What is Redis?Most developers from a web services background are familiar with `Redis`. At its core, `Redis` is an open-source key-value store that is used as a ca... | langchain/docs/docs/integrations/vectorstores/redis.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/redis.ipynb",
"repo_id": "langchain",
"token_count": 7518
} | 194 |
/* eslint-disable @typescript-eslint/no-explicit-any */
/* eslint-disable @typescript-eslint/no-empty-function */
import { TruncationStrategy, BPE, Encoding, AddedToken, Tokenizer } from '../../'
// jest.mock('../../bindings/tokenizer');
// jest.mock('../../bindings/models', () => ({
// __esModule: true,
// Model... | tokenizers/bindings/node/lib/bindings/tokenizer.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/tokenizer.test.ts",
"repo_id": "tokenizers",
"token_count": 5268
} | 450 |
# 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/trocr/processing_trocr.py/0 | {
"file_path": "transformers/src/transformers/models/trocr/processing_trocr.py",
"repo_id": "transformers",
"token_count": 2190
} | 702 |
import { Stack, createStyles, Text, useMantineTheme } from "@mantine/core";
import { Dropzone, MIME_TYPES } from "@mantine/dropzone";
import { notifications } from "@mantine/notifications";
import { IconFile, IconUpload, IconX } from "@tabler/icons-react";
import Papa from "papaparse";
import { QAPair } from "../utils/... | auto-evaluator/nextjs/components/TestFileUploadZone.tsx/0 | {
"file_path": "auto-evaluator/nextjs/components/TestFileUploadZone.tsx",
"repo_id": "auto-evaluator",
"token_count": 1998
} | 0 |
from langchain_community.llms.google_palm import GooglePalm
__all__ = ["GooglePalm"]
| langchain/libs/langchain/langchain/llms/google_palm.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/google_palm.py",
"repo_id": "langchain",
"token_count": 29
} | 520 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,803 |
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