text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
package indexnode
import "math/rand"
const (
dim = 8
nb = 10000
nprobe = 8
)
func generateFloatVectors() []float32 {
vectors := make([]float32, 0)
for i := 0; i < nb; i++ {
for j := 0; j < dim; j++ {
vectors = append(vectors, rand.Float32())
}
}
return vectors
}
func generateBinaryVectors() []b... | milvus/internal/indexnode/index_test.go/0 | {
"file_path": "milvus/internal/indexnode/index_test.go",
"repo_id": "milvus",
"token_count": 219
} | 1,937 |
from llama_index.readers.file.html.base import HTMLTagReader
__all__ = ["HTMLTagReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/html/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/html/__init__.py",
"repo_id": "llama_index",
"token_count": 30
} | 1,315 |
"""Module includes a registry of default parser configurations."""
from langchain_community.document_loaders.base import BaseBlobParser
from langchain_community.document_loaders.parsers.generic import MimeTypeBasedParser
from langchain_community.document_loaders.parsers.msword import MsWordParser
from langchain_communi... | langchain/libs/community/langchain_community/document_loaders/parsers/registry.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/registry.py",
"repo_id": "langchain",
"token_count": 446
} | 241 |
from langchain_community.document_transformers.doctran_text_translate import (
DoctranTextTranslator,
)
__all__ = ["DoctranTextTranslator"]
| langchain/libs/langchain/langchain/document_transformers/doctran_text_translate.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_transformers/doctran_text_translate.py",
"repo_id": "langchain",
"token_count": 48
} | 494 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/llama_index/packs/neo4j_query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/llama_index/packs/neo4j_query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,596 |
<jupyter_start><jupyter_code>import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
# Import and initialize our tool spec
from llama_index.tools.text_to_image.base import TextToImageToolSpec
text_to_image_spec = TextToImageToolSpec()
tools = text_to_image_spec.to_tool_list()
# Create t... | llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/examples/text_to_image.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/examples/text_to_image.ipynb",
"repo_id": "llama_index",
"token_count": 791
} | 1,440 |
use crate::models::with_tracing::QMatMul;
use crate::quantized_var_builder::VarBuilder;
use candle::{Module, Result, Tensor};
#[derive(Debug, Clone)]
pub struct Embedding {
inner: candle_nn::Embedding,
span: tracing::Span,
}
impl Embedding {
pub fn new(d1: usize, d2: usize, vb: VarBuilder) -> Result<Self>... | candle/candle-transformers/src/quantized_nn.rs/0 | {
"file_path": "candle/candle-transformers/src/quantized_nn.rs",
"repo_id": "candle",
"token_count": 1282
} | 80 |
"""Test manifest integration."""
from langchain_community.llms.manifest import ManifestWrapper
def test_manifest_wrapper() -> None:
"""Test manifest wrapper."""
from manifest import Manifest
manifest = Manifest(client_name="openai")
llm = ManifestWrapper(client=manifest, llm_kwargs={"temperature": 0}... | langchain/libs/community/tests/integration_tests/llms/test_manifest.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_manifest.py",
"repo_id": "langchain",
"token_count": 126
} | 339 |
// 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/log/mlogger.go/0 | {
"file_path": "milvus/pkg/log/mlogger.go",
"repo_id": "milvus",
"token_count": 857
} | 2,089 |
<!---
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/pytorch/speech-pretraining/README.md/0 | {
"file_path": "transformers/examples/pytorch/speech-pretraining/README.md",
"repo_id": "transformers",
"token_count": 2600
} | 552 |
"""Gmail tools."""
from langchain_community.tools.gmail.create_draft import GmailCreateDraft
from langchain_community.tools.gmail.get_message import GmailGetMessage
from langchain_community.tools.gmail.get_thread import GmailGetThread
from langchain_community.tools.gmail.search import GmailSearch
from langchain_commun... | langchain/libs/community/langchain_community/tools/gmail/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/gmail/__init__.py",
"repo_id": "langchain",
"token_count": 186
} | 287 |
"""Pandas output parser."""
import logging
from typing import Any, Dict, Optional
import numpy as np
import pandas as pd
from llama_index.core.exec_utils import safe_eval, safe_exec
from llama_index.core.output_parsers.base import ChainableOutputParser
from llama_index.core.output_parsers.utils import parse_code_mark... | llama_index/llama-index-core/llama_index/core/query_engine/pandas/output_parser.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/pandas/output_parser.py",
"repo_id": "llama_index",
"token_count": 1201
} | 1,169 |
from pathlib import Path
from typing import Dict, List, Optional
from llama_index.legacy.readers.base import BaseReader
from llama_index.legacy.schema import Document, ImageDocument
from llama_index.legacy.utils import infer_torch_device
class ImageVisionLLMReader(BaseReader):
"""Image parser.
Caption image... | llama_index/llama-index-legacy/llama_index/legacy/readers/file/image_vision_llm_reader.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/file/image_vision_llm_reader.py",
"repo_id": "llama_index",
"token_count": 1407
} | 1,761 |
from llama_index.legacy.prompts.base import PromptTemplate
from llama_index.legacy.prompts.prompt_type import PromptType
"""Single select prompt.
PromptTemplate to select one out of `num_choices` options provided in `context_list`,
given a query `query_str`.
Required template variables: `num_chunks`, `context_list`,... | llama_index/llama-index-legacy/llama_index/legacy/selectors/prompts.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/selectors/prompts.py",
"repo_id": "llama_index",
"token_count": 1001
} | 1,713 |
"""Utilities to init Vertex AI."""
from importlib import metadata
from typing import TYPE_CHECKING, Any, Callable, Optional, Union
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import BaseLLM, create_base_retry_decorat... | langchain/libs/community/langchain_community/utilities/vertexai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/vertexai.py",
"repo_id": "langchain",
"token_count": 1528
} | 305 |
<jupyter_start><jupyter_text><jupyter_code># DashScope Embeddings<jupyter_output><empty_output><jupyter_text>If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index
%pip install -U dashscope
# Set API key
%env DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_... | llama_index/docs/examples/embeddings/dashscope_embeddings.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/dashscope_embeddings.ipynb",
"repo_id": "llama_index",
"token_count": 1463
} | 1,133 |
<jupyter_start><jupyter_text>ManifestThis notebook goes over how to use Manifest and LangChain. For more detailed information on `manifest`, and how to use it with local huggingface models like in this example, see https://github.com/HazyResearch/manifestAnother example of [using Manifest with Langchain](https://github... | langchain/docs/docs/integrations/llms/manifest.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/manifest.ipynb",
"repo_id": "langchain",
"token_count": 991
} | 119 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::{Error as E, Result};
use clap::Parser;
use candle_transformers::models::mpt::{Config, Model as M};
use candle_transformers::models::quantized_mpt::Model as Q;
use candle::{DType, Device, Tens... | candle/candle-examples/examples/replit-code/main.rs/0 | {
"file_path": "candle/candle-examples/examples/replit-code/main.rs",
"repo_id": "candle",
"token_count": 3752
} | 46 |
import { test } from "@jest/globals";
import { FakeLLM } from "../../utils/testing/index.js";
test("Test FakeLLM uses callbacks", async () => {
const model = new FakeLLM({});
let acc = "";
const response = await model.invoke("Hello there!", {
callbacks: [
{
handleLLMNewToken: (token: string) =>... | langchainjs/langchain-core/src/language_models/tests/llms.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/language_models/tests/llms.test.ts",
"repo_id": "langchainjs",
"token_count": 379
} | 862 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/es/preprocessing.md/0 | {
"file_path": "transformers/docs/source/es/preprocessing.md",
"repo_id": "transformers",
"token_count": 13015
} | 504 |
python_tests(
interpreter_constraints=["==3.10.*"],
)
| llama_index/llama-index-integrations/llms/llama-index-llms-watsonx/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-watsonx/tests/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,243 |
"""Init file."""
| llama_index/llama-index-legacy/tests/readers/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/readers/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,565 |
# coding=utf-8
# Copyright 2023 The Fairseq Authors, Microsoft Research, 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... | transformers/src/transformers/models/speecht5/configuration_speecht5.py/0 | {
"file_path": "transformers/src/transformers/models/speecht5/configuration_speecht5.py",
"repo_id": "transformers",
"token_count": 9376
} | 724 |
// 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/querycoordv2/observers/task_dispatcher.go/0 | {
"file_path": "milvus/internal/querycoordv2/observers/task_dispatcher.go",
"repo_id": "milvus",
"token_count": 1071
} | 1,834 |
# 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/tokenization_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/tokenization_auto.py",
"repo_id": "transformers",
"token_count": 20599
} | 619 |
<jupyter_start><jupyter_text>LOTR (Merger Retriever)`Lord of the Retrievers`, also known as `MergerRetriever`, takes a list of retrievers as input and merges the results of their get_relevant_documents() methods into a single list. The merged results will be a list of documents that are relevant to the query and that h... | langchain/docs/docs/integrations/retrievers/merger_retriever.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/merger_retriever.ipynb",
"repo_id": "langchain",
"token_count": 1521
} | 154 |
# Contributing to LangChain
👋 Hi there! Thank you for being interested in contributing to LangChain.
As an open source project in a rapidly developing field, we are extremely open
to contributions, whether it be in the form of a new feature, improved infra, or better documentation.
To contribute to this project, ple... | langchainjs/CONTRIBUTING.md/0 | {
"file_path": "langchainjs/CONTRIBUTING.md",
"repo_id": "langchainjs",
"token_count": 3928
} | 740 |
from dataclasses import dataclass
from typing import TYPE_CHECKING, List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_... | diffusers/src/diffusers/pipelines/paint_by_example/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/paint_by_example/__init__.py",
"repo_id": "diffusers",
"token_count": 599
} | 260 |
"""Guardrails output parser.
See https://github.com/ShreyaR/guardrails.
"""
from deprecated import deprecated
from llama_index.legacy.output_parsers.base import ChainableOutputParser
try:
from guardrails import Guard
except ImportError:
Guard = None
PromptCallable = None
from copy import deepcopy
from... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/guardrails.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/guardrails.py",
"repo_id": "llama_index",
"token_count": 1272
} | 1,691 |
import { HNLoader } from "langchain/document_loaders/web/hn";
export const run = async () => {
const loader = new HNLoader("https://news.ycombinator.com/item?id=34817881");
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/hn.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/hn.ts",
"repo_id": "langchainjs",
"token_count": 81
} | 770 |
syntax = "proto3";
package milvus.proto.plan;
option go_package = "github.com/milvus-io/milvus/internal/proto/planpb";
import "schema.proto";
enum OpType {
Invalid = 0;
GreaterThan = 1;
GreaterEqual = 2;
LessThan = 3;
LessEqual = 4;
Equal = 5;
NotEqual = 6;
PrefixMatch = 7; // startsWith
PostfixMat... | milvus/internal/proto/plan.proto/0 | {
"file_path": "milvus/internal/proto/plan.proto",
"repo_id": "milvus",
"token_count": 1606
} | 2,010 |
"""Merriam-Webster API toolkit."""
| langchain/libs/langchain/langchain/tools/merriam_webster/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/merriam_webster/__init__.py",
"repo_id": "langchain",
"token_count": 13
} | 564 |
# `tokenizers-android-arm-eabi`
This is the **armv7-linux-androideabi** binary for `tokenizers`
| tokenizers/bindings/node/npm/android-arm-eabi/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/android-arm-eabi/README.md",
"repo_id": "tokenizers",
"token_count": 35
} | 427 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/kv/tikv/txn_tikv_test.go/0 | {
"file_path": "milvus/internal/kv/tikv/txn_tikv_test.go",
"repo_id": "milvus",
"token_count": 7276
} | 1,719 |
<jupyter_start><jupyter_text>Telegram>[Telegram Messenger](https://web.telegram.org/a/) is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several... | langchain/docs/docs/integrations/document_loaders/telegram.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/telegram.ipynb",
"repo_id": "langchain",
"token_count": 398
} | 115 |
{
"name": "core_docs",
"version": "0.0.0",
"private": true,
"scripts": {
"docusaurus": "docusaurus",
"start": "yarn build:typedoc && rimraf ./docs/api && NODE_OPTIONS=--max-old-space-size=7168 docusaurus start",
"build": "yarn clean && yarn build:typedoc && yarn quarto && rimraf ./build && NODE_OPTI... | langchainjs/docs/core_docs/package.json/0 | {
"file_path": "langchainjs/docs/core_docs/package.json",
"repo_id": "langchainjs",
"token_count": 1426
} | 771 |
"""Tool for the SearchApi.io search API."""
from typing import Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.searchapi impor... | langchain/libs/community/langchain_community/tools/searchapi/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/searchapi/tool.py",
"repo_id": "langchain",
"token_count": 804
} | 294 |
from __future__ import annotations
import json
from abc import ABC, abstractmethod
from pathlib import Path
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Generic,
List,
Mapping,
Optional,
Type,
TypeVar,
Union,
)
import yaml
from langchain_core.output_parsers.bas... | langchain/libs/core/langchain_core/prompts/base.py/0 | {
"file_path": "langchain/libs/core/langchain_core/prompts/base.py",
"repo_id": "langchain",
"token_count": 3883
} | 395 |
# Copyright 2022 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/mean_iou/mean_iou.py/0 | {
"file_path": "datasets/metrics/mean_iou/mean_iou.py",
"repo_id": "datasets",
"token_count": 5236
} | 131 |
// If you want to import the browser version, use the following line instead:
// import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";
import { CloseVectorNode } from "@langchain/community/vectorstores/closevector/node";
import { OpenAIEmbeddings } from "@langchain/openai";
export const r... | langchainjs/examples/src/indexes/vector_stores/closevector.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/closevector.ts",
"repo_id": "langchainjs",
"token_count": 223
} | 846 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-twitter/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-twitter/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,561 |
/* eslint-disable spaced-comment */
// eslint-disable-next-line import/no-extraneous-dependencies
import {
internalQueryGeneric as internalQuery,
internalMutationGeneric as internalMutation,
} from "convex/server";
// eslint-disable-next-line import/no-extraneous-dependencies
import { GenericId, v } from "convex/v... | langchainjs/libs/langchain-community/src/utils/convex.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/convex.ts",
"repo_id": "langchainjs",
"token_count": 938
} | 963 |
"""
**LangChain NVIDIA AI Foundation Model Playground Integration**
This comprehensive module integrates NVIDIA's state-of-the-art AI Foundation Models, featuring advanced models for conversational AI and semantic embeddings, into the LangChain framework. It provides robust classes for seamless interaction with NVIDIA... | langchain/libs/partners/nvidia-ai-endpoints/langchain_nvidia_ai_endpoints/__init__.py/0 | {
"file_path": "langchain/libs/partners/nvidia-ai-endpoints/langchain_nvidia_ai_endpoints/__init__.py",
"repo_id": "langchain",
"token_count": 499
} | 630 |
import {
byteLevelPreTokenizer,
metaspacePreTokenizer,
punctuationPreTokenizer,
sequencePreTokenizer,
splitPreTokenizer,
whitespaceSplitPreTokenizer,
} from '../../'
describe('byteLevelPreTokenizer', () => {
it('instantiates correctly', () => {
const processor = byteLevelPreTokenizer()
expect(pro... | tokenizers/bindings/node/lib/bindings/pre-tokenizers.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/pre-tokenizers.test.ts",
"repo_id": "tokenizers",
"token_count": 728
} | 453 |
<jupyter_start><jupyter_text>Unit 2: Q-Learning with FrozenLake-v1 ⛄ and Taxi-v3 🚕In this notebook, **you'll code your first Reinforcement Learning agent from scratch** to play FrozenLake ❄️ using Q-Learning, share it with the community, and experiment with different configurations.⬇️ Here is an example of what **you ... | deep-rl-class/notebooks/unit2/unit2.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit2/unit2.ipynb",
"repo_id": "deep-rl-class",
"token_count": 11160
} | 155 |
import { GoogleAuth, GoogleAuthOptions } from "google-auth-library";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import { AsyncCallerCallOptions } from "@langchain/core/utils/async_caller";
import { chunkArray } from "@langchain/core/utils/chunk_array";
import {
GoogleVertexAIBasePredic... | langchainjs/libs/langchain-community/src/embeddings/googlevertexai.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/googlevertexai.ts",
"repo_id": "langchainjs",
"token_count": 1568
} | 986 |
package proxy
import (
"context"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/proto/planpb"
)
type milvusReducer interface {
Reduce([]*internalpb.Retrie... | milvus/internal/proxy/reducer.go/0 | {
"file_path": "milvus/internal/proxy/reducer.go",
"repo_id": "milvus",
"token_count": 286
} | 1,850 |
import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
import { loadQAMapReduceChain } from "langchain/chains";
// Initialize the LLM to use to... | langchainjs/examples/src/chains/retrieval_qa_custom.ts/0 | {
"file_path": "langchainjs/examples/src/chains/retrieval_qa_custom.ts",
"repo_id": "langchainjs",
"token_count": 356
} | 793 |
from langchain_core.utils.json_schema import (
_dereference_refs_helper,
_infer_skip_keys,
_retrieve_ref,
dereference_refs,
)
__all__ = [
"_retrieve_ref",
"_dereference_refs_helper",
"_infer_skip_keys",
"dereference_refs",
]
| langchain/libs/langchain/langchain/utils/json_schema.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utils/json_schema.py",
"repo_id": "langchain",
"token_count": 122
} | 571 |
"""Hugging Face Chat Wrapper."""
from typing import Any, List, Optional, Union
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
... | langchain/libs/community/langchain_community/chat_models/huggingface.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/huggingface.py",
"repo_id": "langchain",
"token_count": 2304
} | 239 |
"""Utilities for response."""
from typing import Generator
def get_response_text(response_gen: Generator) -> str:
"""Get response text."""
response_text = ""
for response in response_gen:
response_text += response
return response_text
| llama_index/llama-index-legacy/llama_index/legacy/response/utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response/utils.py",
"repo_id": "llama_index",
"token_count": 83
} | 1,709 |
BENCHMARK_SCRIPT="benchmark/benchmark_level1.sh" \
BENCHMARK_PLOT_SCRIPT="benchmark/benchmark_level1_plot.sh" \
bash benchmark/benchmark_and_report.sh | trl/benchmark/regression_test.sh/0 | {
"file_path": "trl/benchmark/regression_test.sh",
"repo_id": "trl",
"token_count": 60
} | 862 |
package model
const (
NotificationTypeCreateCollection = "create_collection"
NotificationTypeDeleteCollection = "delete_collection"
)
const (
NotificationStatusPending = "pending"
)
type Notification struct {
ID int64
CollectionID string
Type string
Status string
}
| chroma/go/coordinator/internal/model/notification.go/0 | {
"file_path": "chroma/go/coordinator/internal/model/notification.go",
"repo_id": "chroma",
"token_count": 103
} | 49 |
version: '3'
services:
langchain-streamlit-agent:
image: langchain-streamlit-agent:latest
build: ./app
command: streamlit run streamlit_agent/chat_pandas_df.py --server.port 8051
volumes:
- ./streamlit_agent/:/app/streamlit_agent
ports:
- 8051:8051 | streamlit-agent/docker-compose.yml/0 | {
"file_path": "streamlit-agent/docker-compose.yml",
"repo_id": "streamlit-agent",
"token_count": 116
} | 1,918 |
# Node Parser Usage Pattern
Node parsers are a simple abstraction that take a list of documents, and chunk them into `Node` objects, such that each node is a specific chunk of the parent document. When a document is broken into nodes, all of it's attributes are inherited to the children nodes (i.e. `metadata`, text an... | llama_index/docs/module_guides/loading/node_parsers/root.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/node_parsers/root.md",
"repo_id": "llama_index",
"token_count": 590
} | 1,143 |
<jupyter_start><jupyter_text>OpaquePrompts[OpaquePrompts](https://opaqueprompts.readthedocs.io/en/latest/) is a service that enables applications to leverage the power of language models without compromising user privacy. Designed for composability and ease of integration into existing applications and services, Opaque... | langchain/docs/docs/integrations/llms/opaqueprompts.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/opaqueprompts.ipynb",
"repo_id": "langchain",
"token_count": 2394
} | 132 |
{
"name": "tokenizers-linux-x64-gnu",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"x64"
],
"main": "tokenizers.linux-x64-gnu.node",
"files": [
"tokenizers.linux-x64-gnu.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
... | tokenizers/bindings/node/npm/linux-x64-gnu/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-x64-gnu/package.json",
"repo_id": "tokenizers",
"token_count": 289
} | 435 |
import torch
import torch.distributed
from typing import Optional
from transformers import (
AutoTokenizer,
AutoConfig,
)
from text_generation_server.models.custom_modeling.opt_modeling import OPTForCausalLM
from text_generation_server.models import CausalLM
from text_generation_server.utils import (
init... | text-generation-inference/server/text_generation_server/models/opt.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/opt.py",
"repo_id": "text-generation-inference",
"token_count": 1171
} | 431 |
# isort: skip_file
# This is the module that test_patching.py uses to test patch_submodule()
import os # noqa: F401 - this is just for tests
import os as renamed_os # noqa: F401 - this is just for tests
from os import path # noqa: F401 - this is just for tests
from os import path as renamed_path # noqa: F401 - th... | datasets/tests/_test_patching.py/0 | {
"file_path": "datasets/tests/_test_patching.py",
"repo_id": "datasets",
"token_count": 175
} | 149 |
#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team 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.ap... | transformers/examples/research_projects/onnx/summarization/run_onnx_exporter.py/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/run_onnx_exporter.py",
"repo_id": "transformers",
"token_count": 2861
} | 609 |
# Azure Storage Blob Loader
This loader parses any file stored as an Azure Storage blob or the entire container (with an optional prefix / attribute filter) if no particular file is specified. When initializing `AzStorageBlobReader`, you may pass in your account url with a SAS token or crdentials to authenticate.
All... | llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/README.md",
"repo_id": "llama_index",
"token_count": 1031
} | 1,382 |
# `langchain`
**Usage**:
```console
$ langchain [OPTIONS] COMMAND [ARGS]...
```
**Options**:
* `--help`: Show this message and exit.
* `-v, --version`: Print current CLI version.
**Commands**:
* `app`: Manage LangChain apps
* `serve`: Start the LangServe app, whether it's a...
* `template`: Develop installable te... | langchain/libs/cli/DOCS.md/0 | {
"file_path": "langchain/libs/cli/DOCS.md",
"repo_id": "langchain",
"token_count": 1199
} | 202 |
<jupyter_start><jupyter_text>Modèles (PyTorch) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import CamembertConfig, CamembertModel
# Construire la configuration
config = CamembertConfig()
# Construire le modèle à parti... | notebooks/course/fr/chapter2/section3_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section3_pt.ipynb",
"repo_id": "notebooks",
"token_count": 341
} | 299 |
# coding=utf-8
# Copyright 2021 Google Research 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/LICE... | transformers/src/transformers/models/fnet/modeling_fnet.py/0 | {
"file_path": "transformers/src/transformers/models/fnet/modeling_fnet.py",
"repo_id": "transformers",
"token_count": 20358
} | 665 |
<jupyter_start><jupyter_text>DatabricksThe [Databricks](https://www.databricks.com/) Lakehouse Platform unifies data, analytics, and AI on one platform.This example notebook shows how to wrap Databricks endpoints as LLMs in LangChain.It supports two endpoint types:* Serving endpoint, recommended for production and deve... | langchain/docs/docs/integrations/llms/databricks.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/databricks.ipynb",
"repo_id": "langchain",
"token_count": 2875
} | 117 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/vit_hybrid/convert_vit_hybrid_timm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/vit_hybrid/convert_vit_hybrid_timm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 5670
} | 747 |
import time
import pdb
import logging
import traceback
import grpc
import numpy as np
from milvus_benchmark.env import get_env
from milvus_benchmark.client import MilvusClient
from . import utils
logger = logging.getLogger("milvus_benchmark.runners.base")
class BaseRunner(object):
"""runner is actually the exec... | milvus/tests/benchmark/milvus_benchmark/runners/base.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/base.py",
"repo_id": "milvus",
"token_count": 2812
} | 1,855 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/mgp_str/test_processor_mgp_str.py/0 | {
"file_path": "transformers/tests/models/mgp_str/test_processor_mgp_str.py",
"repo_id": "transformers",
"token_count": 3186
} | 825 |
[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 = ["EarningsCallTranscript"]
contains_example = false
import_path = "llama_index.readers.earn... | llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml",
"repo_id": "llama_index",
"token_count": 701
} | 1,355 |
# Decision Transformers
The Decision Transformer model was introduced by ["Decision Transformer: Reinforcement Learning via Sequence Modeling” by Chen L. et al](https://arxiv.org/abs/2106.01345). It abstracts Reinforcement Learning as a conditional-sequence modeling problem.
The main idea is that instead of training ... | deep-rl-class/units/en/unitbonus3/decision-transformers.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/decision-transformers.mdx",
"repo_id": "deep-rl-class",
"token_count": 543
} | 171 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/utils/check_docstrings.py/0 | {
"file_path": "transformers/utils/check_docstrings.py",
"repo_id": "transformers",
"token_count": 16792
} | 854 |
from chromadb.utils.rendezvous_hash import assign, murmur3hasher
def test_rendezvous_hash() -> None:
# Tests the assign works as expected
members = ["a", "b", "c"]
key = "key"
def mock_hasher(member: str, key: str) -> int:
return members.index(member) # Highest index wins
assert assign(... | chroma/chromadb/test/segment/distributed/test_rendezvous_hash.py/0 | {
"file_path": "chroma/chromadb/test/segment/distributed/test_rendezvous_hash.py",
"repo_id": "chroma",
"token_count": 337
} | 28 |
import { XataVectorSearch } from "@langchain/community/vectorstores/xata";
import { OpenAIEmbeddings } from "@langchain/openai";
import { BaseClient } from "@xata.io/client";
import { Document } from "@langchain/core/documents";
// First, follow set-up instructions at
// https://js.langchain.com/docs/modules/data_conn... | langchainjs/examples/src/indexes/vector_stores/xata_metadata.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/xata_metadata.ts",
"repo_id": "langchainjs",
"token_count": 667
} | 822 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,544 |
from __future__ import annotations
import os
from typing import Any, Dict, Optional
def env_var_is_set(env_var: str) -> bool:
"""Check if an environment variable is set.
Args:
env_var (str): The name of the environment variable.
Returns:
bool: True if the environment variable is set, Fa... | langchain/libs/core/langchain_core/utils/env.py/0 | {
"file_path": "langchain/libs/core/langchain_core/utils/env.py",
"repo_id": "langchain",
"token_count": 526
} | 410 |
from langchain_community.document_loaders.obs_directory import OBSDirectoryLoader
__all__ = ["OBSDirectoryLoader"]
| langchain/libs/langchain/langchain/document_loaders/obs_directory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/obs_directory.py",
"repo_id": "langchain",
"token_count": 32
} | 532 |
from langchain_community.graphs import Neo4jGraph
# Instantiate connection to Neo4j
graph = Neo4jGraph()
# Define unique constraints
graph.query("CREATE CONSTRAINT IF NOT EXISTS FOR (m:Movie) REQUIRE m.id IS UNIQUE;")
graph.query("CREATE CONSTRAINT IF NOT EXISTS FOR (u:User) REQUIRE u.id IS UNIQUE;")
graph.query("CRE... | langchain/templates/neo4j-semantic-layer/ingest.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-layer/ingest.py",
"repo_id": "langchain",
"token_count": 786
} | 714 |
stable
| tokenizers/bindings/python/rust-toolchain/0 | {
"file_path": "tokenizers/bindings/python/rust-toolchain",
"repo_id": "tokenizers",
"token_count": 2
} | 416 |
from llama_index.readers.faiss.base import FaissReader
__all__ = ["FaissReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-faiss/llama_index/readers/faiss/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-faiss/llama_index/readers/faiss/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,356 |
<jupyter_start><jupyter_text>Neo4j Vector Index>[Neo4j](https://neo4j.com/) is an open-source graph database with integrated support for vector similarity searchIt supports:- approximate nearest neighbor search- Euclidean similarity and cosine similarity- Hybrid search combining vector and keyword searchesThis notebook... | langchain/docs/docs/integrations/vectorstores/neo4jvector.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/neo4jvector.ipynb",
"repo_id": "langchain",
"token_count": 2167
} | 193 |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | transformers/src/transformers/models/openai/modeling_openai.py/0 | {
"file_path": "transformers/src/transformers/models/openai/modeling_openai.py",
"repo_id": "transformers",
"token_count": 16309
} | 649 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/utils_test.go/0 | {
"file_path": "milvus/internal/storage/utils_test.go",
"repo_id": "milvus",
"token_count": 20519
} | 1,893 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/data_codec.go/0 | {
"file_path": "milvus/internal/storage/data_codec.go",
"repo_id": "milvus",
"token_count": 14376
} | 1,869 |
# Usage Pattern
## Get Started
Build a chat engine from index:
```python
chat_engine = index.as_chat_engine()
```
```{tip}
To learn how to build an index, see [Indexing](/module_guides/indexing/indexing.md)
```
Have a conversation with your data:
```python
response = chat_engine.chat("Tell me a joke.")
```
Reset... | llama_index/docs/module_guides/deploying/chat_engines/usage_pattern.md/0 | {
"file_path": "llama_index/docs/module_guides/deploying/chat_engines/usage_pattern.md",
"repo_id": "llama_index",
"token_count": 1259
} | 1,139 |
# LangChain as an AIPlugin
## Introduction
[LangChain](https://python.langchain.com/en/latest/index.html) can flexibly integrate with the ChatGPT AI plugin ecosystem.
LangChain chains and agents can themselves be deployed as a plugin that can communicate with other agents or with ChatGPT itself.
For more informati... | langchain-aiplugin/README.md/0 | {
"file_path": "langchain-aiplugin/README.md",
"repo_id": "langchain-aiplugin",
"token_count": 1169
} | 65 |
package main
import (
"os"
"github.com/milvus-io/milvus/cmd/tools/migration/command"
)
func main() {
command.Execute(os.Args)
}
| milvus/cmd/tools/migration/main.go/0 | {
"file_path": "milvus/cmd/tools/migration/main.go",
"repo_id": "milvus",
"token_count": 59
} | 1,898 |
export {
type PromptTemplateInput,
type ParamsFromFString,
PromptTemplate,
} from "@langchain/core/prompts";
| langchainjs/langchain/src/prompts/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/prompts/prompt.ts",
"repo_id": "langchainjs",
"token_count": 37
} | 956 |
package indexcgowrapper
import (
"math"
"math/rand"
"os"
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/indexpb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/commo... | milvus/internal/util/indexcgowrapper/codec_index_test.go/0 | {
"file_path": "milvus/internal/util/indexcgowrapper/codec_index_test.go",
"repo_id": "milvus",
"token_count": 5088
} | 1,884 |
import os
from typing import Any, Dict, Iterable, List, Optional, Type
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VST, VectorStore
FIELD_TYPES = {
"f": "files",
"t": "texts",
"l": "links",
}
class NucliaDB(Vector... | langchain/libs/community/langchain_community/vectorstores/nucliadb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/nucliadb.py",
"repo_id": "langchain",
"token_count": 2762
} | 310 |
from langchain_community.document_loaders.markdown import UnstructuredMarkdownLoader
__all__ = ["UnstructuredMarkdownLoader"]
| langchain/libs/langchain/langchain/document_loaders/markdown.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/markdown.py",
"repo_id": "langchain",
"token_count": 35
} | 508 |
python_sources()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,210 |
#![warn(clippy::all)]
#![allow(clippy::upper_case_acronyms)]
#![doc(html_favicon_url = "https://huggingface.co/favicon.ico")]
#![doc(html_logo_url = "https://huggingface.co/landing/assets/huggingface_logo.svg")]
//! The core of `tokenizers`, written in Rust.
//! Provides an implementation of today's most used tokenize... | tokenizers/tokenizers/src/lib.rs/0 | {
"file_path": "tokenizers/tokenizers/src/lib.rs",
"repo_id": "tokenizers",
"token_count": 2175
} | 475 |
# Using local models
Relevant Resources:
- [Using LlamaIndex with Local Models](https://colab.research.google.com/drive/16QMQePkONNlDpgiltOi7oRQgmB8dU5fl?usp=sharing)
| llama_index/docs/module_guides/models/llms/local.md/0 | {
"file_path": "llama_index/docs/module_guides/models/llms/local.md",
"repo_id": "llama_index",
"token_count": 66
} | 1,179 |
"""
Framework agnostic tests for generate()-related methods.
"""
import numpy as np
from transformers import AutoTokenizer
from transformers.testing_utils import slow, torch_device
class GenerationIntegrationTestsMixin:
# To be populated by the child classes
framework_dependent_parameters = {
"AutoM... | transformers/tests/generation/test_framework_agnostic.py/0 | {
"file_path": "transformers/tests/generation/test_framework_agnostic.py",
"repo_id": "transformers",
"token_count": 14154
} | 703 |
# Obsidian
>[Obsidian](https://obsidian.md/) is a powerful and extensible knowledge base
that works on top of your local folder of plain text files.
## Installation and Setup
All instructions are in examples below.
## Document Loader
See a [usage example](/docs/integrations/document_loaders/obsidian).
```python... | langchain/docs/docs/integrations/providers/obsidian.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/obsidian.mdx",
"repo_id": "langchain",
"token_count": 105
} | 143 |
from langchain_community.document_loaders.parsers.language.code_segmenter import (
CodeSegmenter,
)
__all__ = ["CodeSegmenter"]
| langchain/libs/langchain/langchain/document_loaders/parsers/language/code_segmenter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/language/code_segmenter.py",
"repo_id": "langchain",
"token_count": 48
} | 513 |
import { type ClientOptions, OpenAI as OpenAIClient } from "openai";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import {
AIMessage,
AIMessageChunk,
type BaseMessage,
ChatMessage,
ChatMessageChunk,
FunctionMessageChunk,
HumanMessageChunk,
SystemMessageChunk,
ToolMess... | langchainjs/libs/langchain-openai/src/chat_models.ts/0 | {
"file_path": "langchainjs/libs/langchain-openai/src/chat_models.ts",
"repo_id": "langchainjs",
"token_count": 10023
} | 1,019 |
[tool.poetry]
name = "cassandra-entomology-rag"
version = "0.0.1"
description = "RAG using Apache Cassandra® or Astra DB"
authors = [
"Stefano Lottini <stefano.lottini@datastax.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
tiktoken = "^0.5.1"
cass... | langchain/templates/cassandra-entomology-rag/pyproject.toml/0 | {
"file_path": "langchain/templates/cassandra-entomology-rag/pyproject.toml",
"repo_id": "langchain",
"token_count": 309
} | 648 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package syncmgr
import mock "github.com/stretchr/testify/mock"
// MockMetaWriter is an autogenerated mock type for the MetaWriter type
type MockMetaWriter struct {
mock.Mock
}
type MockMetaWriter_Expecter struct {
mock *mock.Mock
}
func (_m *MockMetaWriter) EXPE... | milvus/internal/datanode/syncmgr/mock_meta_writer.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/mock_meta_writer.go",
"repo_id": "milvus",
"token_count": 1682
} | 1,844 |
from typing import Any, Dict, List, Literal, Optional, Union
from exa_py import Exa # type: ignore
from exa_py.api import HighlightsContentsOptions, TextContentsOptions # type: ignore
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core... | langchain/libs/partners/exa/langchain_exa/retrievers.py/0 | {
"file_path": "langchain/libs/partners/exa/langchain_exa/retrievers.py",
"repo_id": "langchain",
"token_count": 1389
} | 624 |
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