text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
package writebuffer
import (
"math"
"github.com/cockroachdb/errors"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pk... | milvus/internal/datanode/writebuffer/insert_buffer.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/insert_buffer.go",
"repo_id": "milvus",
"token_count": 1351
} | 1,928 |
# 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/generation/flax_logits_process.py/0 | {
"file_path": "transformers/src/transformers/generation/flax_logits_process.py",
"repo_id": "transformers",
"token_count": 8086
} | 561 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-slack/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-slack/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,438 |
# 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/tests/pipelines/test_pipelines_visual_question_answering.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_visual_question_answering.py",
"repo_id": "transformers",
"token_count": 2897
} | 762 |
<jupyter_start><jupyter_text>Query Pipeline with RoutingHere we showcase our query pipeline with routing.Routing lets us dynamically choose underlying query pipelines to use given the query and a set of choices.We offer this as an out-of-the-box abstraction in our [Router Query Engine](https://docs.llamaindex.ai/en/sta... | llama_index/docs/examples/pipeline/query_pipeline_routing.ipynb/0 | {
"file_path": "llama_index/docs/examples/pipeline/query_pipeline_routing.ipynb",
"repo_id": "llama_index",
"token_count": 1531
} | 1,079 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-packs/llama-index-packs-vanna/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vanna/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,704 |
# 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/pipelines/kandinsky/test_kandinsky_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky/test_kandinsky_img2img.py",
"repo_id": "diffusers",
"token_count": 6297
} | 279 |
# Agents
An "agent" is an automated reasoning and decision engine. It takes in a user input/query and can make internal decisions for executing
that query in order to return the correct result. The key agent components can include, but are not limited to:
- Breaking down a complex question into smaller ones
- Choosin... | llama_index/docs/use_cases/agents.md/0 | {
"file_path": "llama_index/docs/use_cases/agents.md",
"repo_id": "llama_index",
"token_count": 590
} | 1,154 |
from typing import List
import pytest as pytest
from langchain_core.documents import Document
from langchain.retrievers.multi_query import _unique_documents
@pytest.mark.parametrize(
"documents,expected",
[
([], []),
([Document(page_content="foo")], [Document(page_content="foo")]),
(... | langchain/libs/langchain/tests/unit_tests/retrievers/test_multi_query.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/test_multi_query.py",
"repo_id": "langchain",
"token_count": 656
} | 638 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,470 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import PairwiseEmbeddingDistance from "@examples/guides/evaluation/comparision_evaluator/pairwise_embedding_distance.ts";
# Pairwise Embedding Distance
One way to measure the similarity (or dissimilarity) between two predictions on a shar... | langchainjs/docs/core_docs/docs/guides/evaluation/comparison/pairwise_embedding_distance.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/guides/evaluation/comparison/pairwise_embedding_distance.mdx",
"repo_id": "langchainjs",
"token_count": 258
} | 696 |
# 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/tests/models/clipseg/test_processor_clipseg.py/0 | {
"file_path": "transformers/tests/models/clipseg/test_processor_clipseg.py",
"repo_id": "transformers",
"token_count": 3413
} | 713 |
# 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/autoformer/test_modeling_autoformer.py/0 | {
"file_path": "transformers/tests/models/autoformer/test_modeling_autoformer.py",
"repo_id": "transformers",
"token_count": 8817
} | 705 |
import * as uuid from "uuid";
import { MultiVectorRetriever } from "langchain/retrievers/multi_vector";
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { OpenAIEmbeddings } from "@langchain/openai";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { InMemory... | langchainjs/examples/src/retrievers/multi_vector_small_chunks.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/multi_vector_small_chunks.ts",
"repo_id": "langchainjs",
"token_count": 826
} | 816 |
# Patentsview Loader
This loader loads patent abstract from `a list of patent numbers` with API provided by [Patentsview](https://patentsview.org/).
## Usage
Here'a an example usage of PatentsviewReader.
```python
from llama_index import download_loader
PatentsviewReader = download_loader("PatentsviewReader")
load... | llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/README.md",
"repo_id": "llama_index",
"token_count": 170
} | 1,425 |
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain_community.docstore.document import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.blob_loaders import Blob
from la... | langchain/libs/community/langchain_community/document_loaders/vsdx.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/vsdx.py",
"repo_id": "langchain",
"token_count": 795
} | 252 |
use super::utils::{
get_scale_min_k4, group_for_dequantization, group_for_quantization, make_q3_quants,
make_qkx1_quants, make_qx_quants, nearest_int,
};
use super::GgmlDType;
use crate::Result;
use byteorder::{ByteOrder, LittleEndian};
use half::f16;
use rayon::prelude::*;
// Default to QK_K 256 rather than 6... | candle/candle-core/src/quantized/k_quants.rs/0 | {
"file_path": "candle/candle-core/src/quantized/k_quants.rs",
"repo_id": "candle",
"token_count": 42652
} | 35 |
/* eslint-disable no-instanceof/no-instanceof */
import {
ICacheClient,
CacheGet,
CacheSet,
InvalidArgumentError,
} from "@gomomento/sdk-core";
import {
BaseCache,
deserializeStoredGeneration,
getCacheKey,
serializeGeneration,
} from "@langchain/core/caches";
import { Generation } from "@langchain/core... | langchainjs/libs/langchain-community/src/caches/momento.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/caches/momento.ts",
"repo_id": "langchainjs",
"token_count": 1811
} | 1,048 |
<jupyter_start><jupyter_text>Self-querying:::infoHead to [Integrations](/docs/integrations/retrievers/self_query) for documentation on vector stores with built-in support for self-querying.:::A self-querying retriever is one that, as the name suggests, has the ability to query itself. Specifically, given any natural la... | langchain/docs/docs/modules/data_connection/retrievers/self_query.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/self_query.ipynb",
"repo_id": "langchain",
"token_count": 2494
} | 193 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datacoord
import mock "github.com/stretchr/testify/mock"
// MockRWChannelStore is an autogenerated mock type for the RWChannelStore type
type MockRWChannelStore struct {
mock.Mock
}
type MockRWChannelStore_Expecter struct {
mock *mock.Mock
}
func (_m *Mo... | milvus/internal/datacoord/mock_channel_store.go/0 | {
"file_path": "milvus/internal/datacoord/mock_channel_store.go",
"repo_id": "milvus",
"token_count": 5029
} | 1,767 |
import { collections } from "$lib/server/database";
import { type Actions, fail, redirect } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { authCondition } from "$lib/server/auth";
import { base } from "$app/paths";
import { PUBLIC_ORIGIN, PUBLIC_SHARE_PREFIX } from "$env/static/public";
import { WEB... | chat-ui/src/routes/settings/assistants/[assistantId]/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/assistants/[assistantId]/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 1828
} | 103 |
<!--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/text2image.md/0 | {
"file_path": "diffusers/docs/source/ko/training/text2image.md",
"repo_id": "diffusers",
"token_count": 6015
} | 205 |
// 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/distributed/querycoord/client/client.go/0 | {
"file_path": "milvus/internal/distributed/querycoord/client/client.go",
"repo_id": "milvus",
"token_count": 6117
} | 1,852 |
package migration
import (
"context"
"fmt"
"strings"
"sync"
"time"
"github.com/blang/semver/v4"
clientv3 "go.etcd.io/etcd/client/v3"
"go.uber.org/atomic"
"github.com/milvus-io/milvus/cmd/tools/migration/backend"
"github.com/milvus-io/milvus/cmd/tools/migration/configs"
"github.com/milvus-io/milvus/cmd/too... | milvus/cmd/tools/migration/migration/runner.go/0 | {
"file_path": "milvus/cmd/tools/migration/migration/runner.go",
"repo_id": "milvus",
"token_count": 2514
} | 1,844 |
from langchain_community.document_transformers.doctran_text_extract import (
DoctranPropertyExtractor,
)
__all__ = ["DoctranPropertyExtractor"]
| langchain/libs/langchain/langchain/document_transformers/doctran_text_extract.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_transformers/doctran_text_extract.py",
"repo_id": "langchain",
"token_count": 48
} | 497 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { DynamoDBChatMessageHistory } from "../message/dynamodb.js";
test("Test DynamoDB message history s... | langchainjs/libs/langchain-community/src/stores/tests/dynamodb.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/tests/dynamodb.int.test.ts",
"repo_id": "langchainjs",
"token_count": 573
} | 956 |
import { OutputParserException } from "@langchain/core/output_parsers";
import { OutputParserArgs } from "../agent.js";
import { AgentActionOutputParser } from "../types.js";
import { FORMAT_INSTRUCTIONS } from "./prompt.js";
export const FINAL_ANSWER_ACTION = "Final Answer:";
/**
* A class that extends `AgentAction... | langchainjs/langchain/src/agents/mrkl/outputParser.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/mrkl/outputParser.ts",
"repo_id": "langchainjs",
"token_count": 658
} | 893 |
#!/usr/bin/env groovy
def app="meta-migration-builder"
def date=""
def gitShortCommit=""
pipeline {
agent {
kubernetes {
defaultContainer 'main'
yamlFile "ci/jenkins/pod/meta-builder.yaml"
customWorkspace '/home/jenkins/agent/workspace'
}
}
options {
... | milvus/ci/jenkins/MetaMigrationBuilder.groovy/0 | {
"file_path": "milvus/ci/jenkins/MetaMigrationBuilder.groovy",
"repo_id": "milvus",
"token_count": 1049
} | 1,625 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,603 |
<jupyter_start><jupyter_text>Self HostedLet's load the `SelfHostedEmbeddings`, `SelfHostedHuggingFaceEmbeddings`, and `SelfHostedHuggingFaceInstructEmbeddings` classes.<jupyter_code>import runhouse as rh
from langchain_community.embeddings import (
SelfHostedEmbeddings,
SelfHostedHuggingFaceEmbeddings,
Self... | langchain/docs/docs/integrations/text_embedding/self-hosted.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/self-hosted.ipynb",
"repo_id": "langchain",
"token_count": 790
} | 163 |
""" Transforms Factory
Factory methods for building image transforms for use with TIMM (PyTorch Image Models)
Hacked together by / Copyright 2019, Ross Wightman
"""
import math
from typing import Optional, Tuple, Union
import torch
from torchvision import transforms
from timm.data.constants import IMAGENET_DEFAULT_M... | pytorch-image-models/timm/data/transforms_factory.py/0 | {
"file_path": "pytorch-image-models/timm/data/transforms_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 8112
} | 389 |
# coding=utf-8
# 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 requir... | transformers/tests/models/data2vec/test_modeling_data2vec_text.py/0 | {
"file_path": "transformers/tests/models/data2vec/test_modeling_data2vec_text.py",
"repo_id": "transformers",
"token_count": 10072
} | 740 |
# 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/blip/convert_blip_original_pytorch_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/blip/convert_blip_original_pytorch_to_hf.py",
"repo_id": "transformers",
"token_count": 2804
} | 627 |
[
"<i>Corruption discovered at the core of the Banking Clan!</i>",
"<i>Reunited, Rush Clovis and Senator Amidala</i>",
"<i>discover the full extent of the deception.</i>",
"<i>Anakin Skywalker is sent to the rescue!</i>",
"<i>He refuses to trust Clovis and asks Padm not to work with him.</i>",
"<i>Determin... | langchainjs/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.json/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.json",
"repo_id": "langchainjs",
"token_count": 458
} | 941 |
[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 = ["MultiTenancyRAGPack"]
contains_example = false
import_path = "llama_index.packs.multi_ten... | llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml",
"repo_id": "llama_index",
"token_count": 676
} | 1,594 |
#ifndef _qdq_util_cuh
#define _qdq_util_cuh
union half2_uint32
{
uint32_t as_uint32;
half2 as_half2;
__device__ half2_uint32(uint32_t val) : as_uint32(val) {}
__device__ half2_uint32(half2 val) : as_half2(val) {}
__device__ half2_uint32() : as_uint32(0) {}
};
union half_uint16
{
uint16_t as_ui... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_util.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_util.cuh",
"repo_id": "text-generation-inference",
"token_count": 602
} | 437 |
<jupyter_start><jupyter_code>from datasets import load_dataset
from transformers import set_seed, AutoModelForSeq2SeqLM, AutoTokenizer
from peft import get_peft_model, MultitaskPromptTuningConfig, TaskType, MultitaskPromptTuningInit
set_seed(42)
model_name = "google/flan-t5-base"
peft_config = MultitaskPromptTuningC... | peft/examples/conditional_generation/multitask_prompt_tuning.ipynb/0 | {
"file_path": "peft/examples/conditional_generation/multitask_prompt_tuning.ipynb",
"repo_id": "peft",
"token_count": 3341
} | 325 |
"""**Tools** are classes that an Agent uses to interact with the world.
Each tool has a **description**. Agent uses the description to choose the right
tool for the job.
**Class hierarchy:**
.. code-block::
ToolMetaclass --> BaseTool --> <name>Tool # Examples: AIPluginTool, BaseGraphQLTool
... | langchain/libs/community/langchain_community/tools/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/__init__.py",
"repo_id": "langchain",
"token_count": 12231
} | 300 |
# flake8: noqa
OPENAPI_PREFIX = """You are an agent designed to answer questions by making web requests to an API given the openapi spec.
If the question does not seem related to the API, return I don't know. Do not make up an answer.
Only use information provided by the tools to construct your response.
First, find... | langchain/libs/community/langchain_community/agent_toolkits/openapi/prompt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/openapi/prompt.py",
"repo_id": "langchain",
"token_count": 413
} | 213 |
from langchain_community.retrievers import __all__
EXPECTED_ALL = [
"AmazonKendraRetriever",
"AmazonKnowledgeBasesRetriever",
"ArceeRetriever",
"ArxivRetriever",
"AzureCognitiveSearchRetriever",
"BreebsRetriever",
"ChatGPTPluginRetriever",
"ChaindeskRetriever",
"CohereRagRetriever",... | langchain/libs/community/tests/unit_tests/retrievers/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/retrievers/test_imports.py",
"repo_id": "langchain",
"token_count": 526
} | 421 |
# neo4j-generation
This template pairs LLM-based knowledge graph extraction with Neo4j AuraDB, a fully managed cloud graph database.
You can create a free instance on [Neo4j Aura](https://neo4j.com/cloud/platform/aura-graph-database?utm_source=langchain&utm_content=langserve).
When you initiate a free database inst... | langchain/templates/neo4j-generation/README.md/0 | {
"file_path": "langchain/templates/neo4j-generation/README.md",
"repo_id": "langchain",
"token_count": 824
} | 643 |
# Using LLMs
```{tip}
For a list of our supported LLMs and a comparison of their functionality, check out our [LLM module guide](/module_guides/models/llms.md).
```
One of the first steps when building an LLM-based application is which LLM to use; you can also use more than one if you wish.
LLMs are used at multiple... | llama_index/docs/understanding/using_llms/using_llms.md/0 | {
"file_path": "llama_index/docs/understanding/using_llms/using_llms.md",
"repo_id": "llama_index",
"token_count": 1010
} | 1,167 |
// 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/local_chunk_manager.go/0 | {
"file_path": "milvus/internal/storage/local_chunk_manager.go",
"repo_id": "milvus",
"token_count": 2787
} | 1,862 |
# Copyright 2024 ParaDiGMS authors 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers/src/diffusers/schedulers/scheduling_ddim_parallel.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ddim_parallel.py",
"repo_id": "diffusers",
"token_count": 13353
} | 239 |
from typing import Any, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import root_validator
from langchain_core.retrievers import BaseRetriever
class MetalRetriever(BaseRetriever):
"""`Metal API` re... | langchain/libs/community/langchain_community/retrievers/metal.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/metal.py",
"repo_id": "langchain",
"token_count": 590
} | 291 |
from llama_index.embeddings.instructor.base import InstructorEmbedding
__all__ = ["InstructorEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,189 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/tools/test_text_question_answering.py/0 | {
"file_path": "transformers/tests/tools/test_text_question_answering.py",
"repo_id": "transformers",
"token_count": 742
} | 770 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.core.base.llms.types import ChatMessage, LLMMetadata
from llama_index.core.callbacks import CallbackManager
from llama_index.core.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE
from llama_index.core.llms.generic_utils import get_fro... | llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/base.py",
"repo_id": "llama_index",
"token_count": 1141
} | 1,294 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.snowflake_query_engine import SnowflakeQueryEnginePack
def test_class():
names_of_base_classes = [b.__name__ for b in SnowflakeQueryEnginePack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/tests/test_packs_snowflake_query_engine.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-snowflake-query-engine/tests/test_packs_snowflake_query_engine.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,678 |
from langchain_core.runnables.base import (
Other,
Runnable,
RunnableBinding,
RunnableBindingBase,
RunnableEach,
RunnableEachBase,
RunnableGenerator,
RunnableLambda,
RunnableLike,
RunnableParallel,
RunnableSequence,
RunnableSerializable,
coerce_to_runnable,
)
from lan... | langchain/libs/langchain/langchain/schema/runnable/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/runnable/base.py",
"repo_id": "langchain",
"token_count": 351
} | 566 |
---
hide_table_of_contents: true
sidebar_class_name: node-only
---
# Apify Dataset
This guide shows how to use [Apify](https://apify.com) with LangChain to load documents from an Apify Dataset.
## Overview
[Apify](https://apify.com) is a cloud platform for web scraping and data extraction,
which provides an [ecosys... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx",
"repo_id": "langchainjs",
"token_count": 679
} | 733 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/storage/Event.h/0 | {
"file_path": "milvus/internal/core/src/storage/Event.h",
"repo_id": "milvus",
"token_count": 1350
} | 1,943 |
<jupyter_start><jupyter_text>lakeFS>[lakeFS](https://docs.lakefs.io/) provides scalable version control over the data lake, and uses Git-like semantics to create and access those versions.This notebooks covers how to load document objects from a `lakeFS` path (whether it's an object or a prefix). Initializing the lake... | langchain/docs/docs/integrations/document_loaders/lakefs.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/lakefs.ipynb",
"repo_id": "langchain",
"token_count": 402
} | 106 |
import CodeBlock from "@theme/CodeBlock";
# Voy
[Voy](https://github.com/tantaraio/voy) is a WASM vector similarity search engine written in Rust.
It's supported in non-Node environments like browsers. You can use Voy as a vector store with LangChain.js.
### Install Voy
import IntegrationInstallTooltip from "@mdx_c... | langchainjs/docs/core_docs/docs/integrations/vectorstores/voy.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/voy.mdx",
"repo_id": "langchainjs",
"token_count": 190
} | 723 |
# 🦜️🔗 Chat LangChain
This repo is an implementation of a locally hosted chatbot specifically focused on question answering over the [LangChain documentation](https://python.langchain.com/).
Built with [LangChain](https://github.com/langchain-ai/langchain/), [FastAPI](https://fastapi.tiangolo.com/), and [Next.js](htt... | chat-langchain/README.md/0 | {
"file_path": "chat-langchain/README.md",
"repo_id": "chat-langchain",
"token_count": 875
} | 6 |
import { SortXYZBlockchainLoader } from "langchain/document_loaders/web/sort_xyz_blockchain";
import { OpenAI } from "@langchain/openai";
/**
* See https://docs.sort.xyz/docs/api-keys to get your free Sort API key.
* See https://docs.sort.xyz for more information on the available queries.
* See https://docs.sort.xy... | langchainjs/examples/src/document_loaders/sort_xyz_blockchain.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/sort_xyz_blockchain.ts",
"repo_id": "langchainjs",
"token_count": 928
} | 831 |
[
{
"server": "apollo",
"suite_params": [
{
"suite": "shards_insert_performance_sift1m.yaml",
"image_type": "cpu"
},
{
"suite": "shards_search_performance_sift1m.yaml",
"image_type": "cpu"
... | milvus/tests/benchmark/milvus_benchmark/scheduler/shards_debug.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/shards_debug.json",
"repo_id": "milvus",
"token_count": 225
} | 1,861 |
<jupyter_start><jupyter_text>Airbyte Shopify >[Airbyte](https://github.com/airbytehq/airbyte) is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.This loader exposes the Shopify connector as a ... | langchain/docs/docs/integrations/document_loaders/airbyte_shopify.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/airbyte_shopify.ipynb",
"repo_id": "langchain",
"token_count": 941
} | 100 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "chat_models/baiduwenxin",
});
export * from "@langchain/community/chat_models/baiduwenxin";
| langchainjs/langchain/src/chat_models/baiduwenxin.ts/0 | {
"file_path": "langchainjs/langchain/src/chat_models/baiduwenxin.ts",
"repo_id": "langchainjs",
"token_count": 82
} | 899 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.<jupyter_code>#! pip install transformers
#! pip install datasets
#! pip install huggingface_hub<jupyter_output><empty_output><jupyter_text>If... | notebooks/examples/language_modeling-tf.ipynb/0 | {
"file_path": "notebooks/examples/language_modeling-tf.ipynb",
"repo_id": "notebooks",
"token_count": 8823
} | 322 |
# Streamlit
> [Streamlit](https://streamlit.io/) is a faster way to build and share data apps.
> `Streamlit` turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.
> See more examples at [streamlit.io/generative-ai](https://streamlit.io/generative-ai).
## Installa... | langchain/docs/docs/integrations/providers/streamlit.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/streamlit.mdx",
"repo_id": "langchain",
"token_count": 173
} | 150 |
from typing import Dict
LLAMA_MODELS = {
"meta-llama/Llama-2-7b-chat-hf": 4096,
}
ALL_AVAILABLE_MODELS = {
**LLAMA_MODELS,
}
DISCONTINUED_MODELS: Dict[str, int] = {}
def everlyai_modelname_to_contextsize(modelname: str) -> int:
"""Calculate the maximum number of tokens possible to generate for a model.... | llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/llama_index/llms/everlyai/utils.py",
"repo_id": "llama_index",
"token_count": 454
} | 1,255 |
<jupyter_start><jupyter_code>%cd ../../../
import chromadb
from chromadb.config import Settings
client = chromadb.HttpClient("http://localhost:8000/",
settings=Settings(chroma_client_auth_provider="chromadb.auth.token.TokenAuthClientProvider",
... | chroma/examples/basic_functionality/authz/authz.ipynb/0 | {
"file_path": "chroma/examples/basic_functionality/authz/authz.ipynb",
"repo_id": "chroma",
"token_count": 308
} | 40 |
---
sidebar_label: Ollama
---
# ChatOllama
[Ollama](https://ollama.ai/) allows you to run open-source large language models, such as Llama 2, locally.
Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage... | langchainjs/docs/core_docs/docs/integrations/chat/ollama.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/ollama.mdx",
"repo_id": "langchainjs",
"token_count": 628
} | 699 |
# 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/pipelines/stable_diffusion_2/test_stable_diffusion_diffedit.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_diffedit.py",
"repo_id": "diffusers",
"token_count": 7244
} | 273 |
from __future__ import annotations
import json
import logging
import time
from functools import partial
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Generator,
Iterator,
List,
Optional,
Sequence,
Tuple,
Union,
)
import aiohttp
import requests
from langchain_core... | langchain/libs/partners/nvidia-ai-endpoints/langchain_nvidia_ai_endpoints/_common.py/0 | {
"file_path": "langchain/libs/partners/nvidia-ai-endpoints/langchain_nvidia_ai_endpoints/_common.py",
"repo_id": "langchain",
"token_count": 8523
} | 691 |
"""NASA Toolkit"""
| langchain/libs/community/langchain_community/agent_toolkits/nasa/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/nasa/__init__.py",
"repo_id": "langchain",
"token_count": 6
} | 221 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/vit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit.md",
"repo_id": "transformers",
"token_count": 2815
} | 468 |
<jupyter_start><jupyter_text>Normalisation et prétokenization. Installez les bibliothèques 🤗 *Transformers* et 🤗 *Datasets* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("camembert-base")
p... | notebooks/course/fr/chapter6/section4.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter6/section4.ipynb",
"repo_id": "notebooks",
"token_count": 362
} | 295 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/binlog_parser_test.go/0 | {
"file_path": "milvus/internal/util/importutil/binlog_parser_test.go",
"repo_id": "milvus",
"token_count": 6613
} | 1,898 |
# Stable Diffusion text-to-image fine-tuning
This extended LoRA training script was authored by [haofanwang](https://github.com/haofanwang).
This is an experimental LoRA extension of [this example](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora.py). We further support... | diffusers/examples/research_projects/lora/README.md/0 | {
"file_path": "diffusers/examples/research_projects/lora/README.md",
"repo_id": "diffusers",
"token_count": 1628
} | 220 |
"""Code splitter."""
from typing import Any, Callable, List, Optional
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.callbacks.schema import CBEventType, EventPayload
from llama_index.legacy.node_parser.interface ... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/code.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/text/code.py",
"repo_id": "llama_index",
"token_count": 2758
} | 1,689 |
set -ex
docker compose down -v --remove-orphans
docker build --tag graphdb .
docker compose up -d graphdb
| langchain/libs/community/tests/integration_tests/graphs/docker-compose-ontotext-graphdb/start.sh/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/docker-compose-ontotext-graphdb/start.sh",
"repo_id": "langchain",
"token_count": 32
} | 337 |
from chromadb.api import ServerAPI
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT, Settings, System
from chromadb.db.system import SysDB
from chromadb.segment import SegmentManager, MetadataReader, VectorReader
from chromadb.telemetry.opentelemetry import (
add_attributes_to_current_span,
OpenTele... | chroma/chromadb/api/segment.py/0 | {
"file_path": "chroma/chromadb/api/segment.py",
"repo_id": "chroma",
"token_count": 14917
} | 11 |
from langchain_community.document_loaders.rocksetdb import (
RocksetLoader,
)
__all__ = ["RocksetLoader"]
| langchain/libs/langchain/langchain/document_loaders/rocksetdb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/rocksetdb.py",
"repo_id": "langchain",
"token_count": 40
} | 489 |
# 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/blip/configuration_blip.py/0 | {
"file_path": "transformers/src/transformers/models/blip/configuration_blip.py",
"repo_id": "transformers",
"token_count": 6358
} | 641 |
"""
This script ports models from VQ-diffusion (https://github.com/microsoft/VQ-Diffusion) to diffusers.
It currently only supports porting the ITHQ dataset.
ITHQ dataset:
```sh
# From the root directory of diffusers.
# Download the VQVAE checkpoint
$ wget https://facevcstandard.blob.core.windows.net/v-zhictang/Impr... | diffusers/scripts/convert_vq_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vq_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 14916
} | 234 |
<jupyter_start><jupyter_text>Stress-Testing Long Context LLMs with a Recall TaskIn this section we stress-test long context recall capabilities of GPT-4 and Claude v2. This is inspired by [Greg Kamradt's tweet](https://x.com/GregKamradt/status/1722386725635580292?s=20). Similarly, we analyze the "needle in a haystack" ... | llama_index/docs/examples/response_synthesizers/long_context_test.ipynb/0 | {
"file_path": "llama_index/docs/examples/response_synthesizers/long_context_test.ipynb",
"repo_id": "llama_index",
"token_count": 1923
} | 1,126 |
<!--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/using-diffusers/reproducibility.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/reproducibility.md",
"repo_id": "diffusers",
"token_count": 2403
} | 189 |
from typing import Any, Optional, Sequence
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompts import DEFAULT_SIMPLE_INPUT_PROMPT
from llama_inde... | llama_index/llama-index-core/llama_index/core/response_synthesizers/generation.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/response_synthesizers/generation.py",
"repo_id": "llama_index",
"token_count": 1335
} | 1,200 |
import { OpenAIWhisperAudio } from "langchain/document_loaders/fs/openai_whisper_audio";
const filePath = "./src/document_loaders/example_data/test.mp3";
const loader = new OpenAIWhisperAudio(filePath);
const docs = await loader.load();
console.log(docs);
| langchainjs/examples/src/document_loaders/openai_whisper_audio.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/openai_whisper_audio.ts",
"repo_id": "langchainjs",
"token_count": 89
} | 796 |
import { redirect } from "@sveltejs/kit";
import { getOIDCAuthorizationUrl } from "$lib/server/auth";
import { base } from "$app/paths";
import { ALTERNATIVE_REDIRECT_URLS } from "$env/static/private";
export const actions = {
async default({ url, locals, request }) {
const referer = request.headers.get("referer");... | chat-ui/src/routes/login/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/login/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 286
} | 111 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,469 |
<!--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/tasks/language_modeling.md/0 | {
"file_path": "transformers/docs/source/es/tasks/language_modeling.md",
"repo_id": "transformers",
"token_count": 6370
} | 516 |
<jupyter_start><jupyter_text>MultiOn DemoThis notebook walks through an example of using LlamaIndex with MultiOn to browse the web on the users behalf.First, we import the OpenAIAgent that will control the Multion session:<jupyter_code># Set up OpenAI
import openai
from llama_index.agent import OpenAIAgent
openai.api_... | llama_index/llama-index-integrations/tools/llama-index-tools-multion/examples/multion.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-multion/examples/multion.ipynb",
"repo_id": "llama_index",
"token_count": 1461
} | 1,444 |
<jupyter_start><jupyter_text>In-painting pipeline for Stable Diffusion using 🧨 Diffusers This notebook shows how to do text-guided in-painting with Stable Diffusion model using 🤗 Hugging Face [🧨 Diffusers library](https://github.com/huggingface/diffusers). For a general introduction to the Stable Diffusion model pl... | notebooks/diffusers/in_painting_with_stable_diffusion_using_diffusers.ipynb/0 | {
"file_path": "notebooks/diffusers/in_painting_with_stable_diffusion_using_diffusers.ipynb",
"repo_id": "notebooks",
"token_count": 1254
} | 314 |
from typing import List, Tuple
from langchain.agents import AgentExecutor
from langchain.agents.format_scratchpad import format_to_openai_function_messages
from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain.p... | langchain/templates/neo4j-semantic-layer/neo4j_semantic_layer/agent.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-layer/neo4j_semantic_layer/agent.py",
"repo_id": "langchain",
"token_count": 876
} | 671 |
package broker
import (
"context"
"github.com/samber/lo"
"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/metastore/kv/binlog"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milv... | milvus/internal/datanode/broker/datacoord.go/0 | {
"file_path": "milvus/internal/datanode/broker/datacoord.go",
"repo_id": "milvus",
"token_count": 1923
} | 1,968 |
---
sidebar_position: 2
---
# How to
import DocCardList from "@theme/DocCardList";
<DocCardList /> | langchain/docs/docs/expression_language/how_to/index.mdx/0 | {
"file_path": "langchain/docs/docs/expression_language/how_to/index.mdx",
"repo_id": "langchain",
"token_count": 36
} | 85 |
import { UseFormReturn } from "react-hook-form";
export type FormValues = {
evalQuestionsCount: number;
chunkSize: number;
overlap: number;
splitMethod: string;
embeddingAlgorithm: string;
model: string;
retriever: string;
gradingPrompt: string;
numNeighbors: number;
files: any[];
};
export type F... | auto-evaluator/nextjs/utils/types.ts/0 | {
"file_path": "auto-evaluator/nextjs/utils/types.ts",
"repo_id": "auto-evaluator",
"token_count": 309
} | 3 |
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | transformers/src/transformers/models/tvlt/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/tvlt/__init__.py",
"repo_id": "transformers",
"token_count": 1013
} | 688 |
// eslint-disable-next-line @typescript-eslint/no-explicit-any
export type LoadValues = Record<string, any>;
export type FileLoader<T> = (
text: string,
filePath: string,
values: LoadValues
) => Promise<T>;
export const loadFromFile = async <T>(
uri: string,
loader: FileLoader<T>,
values: LoadValues = {}
... | langchainjs/langchain/src/util/load.ts/0 | {
"file_path": "langchainjs/langchain/src/util/load.ts",
"repo_id": "langchainjs",
"token_count": 215
} | 1,028 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.opensearch import OpensearchVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in OpensearchVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/tests/test_vector_stores_opensearch.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/tests/test_vector_stores_opensearch.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,530 |
<jupyter_start><jupyter_text>Partial prompt templatesLike other methods, it can make sense to "partial" a prompt template - e.g. pass in a subset of the required values, as to create a new prompt template which expects only the remaining subset of values.LangChain supports this in two ways:1. Partial formatting with st... | langchain/docs/docs/modules/model_io/prompts/partial.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/partial.ipynb",
"repo_id": "langchain",
"token_count": 859
} | 196 |
/** @type {import('ts-jest').JestConfigWithTsJest} */
module.exports = {
preset: "ts-jest/presets/default-esm",
testEnvironment: "node",
modulePathIgnorePatterns: ["dist/"],
moduleNameMapper: {
"^(\\.{1,2}/.*)\\.js$": "$1",
},
transform: {
"^.+\\.m?[tj]sx?$": ["ts-jest", { useESM: true }],
},
se... | langsmith-sdk/js/jest.config.cjs/0 | {
"file_path": "langsmith-sdk/js/jest.config.cjs",
"repo_id": "langsmith-sdk",
"token_count": 166
} | 1,144 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/indexnode/indexnode_test.go/0 | {
"file_path": "milvus/internal/indexnode/indexnode_test.go",
"repo_id": "milvus",
"token_count": 7519
} | 1,714 |
// 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/checkers/util.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/util.go",
"repo_id": "milvus",
"token_count": 874
} | 1,894 |
from llama_index.vector_stores.faiss.base import FaissVectorStore
__all__ = ["FaissVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,524 |
from typing import Any, List
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra
DEFAULT_MODEL_URL = "https://tfhub.dev/google/universal-sentence-encoder-multilingual/3"
class TensorflowHubEmbeddings(BaseModel, Embeddings):
"""TensorflowHub embedding models.
... | langchain/libs/community/langchain_community/embeddings/tensorflow_hub.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/tensorflow_hub.py",
"repo_id": "langchain",
"token_count": 1041
} | 273 |
from langchain_community.chat_message_histories.redis import RedisChatMessageHistory
__all__ = ["RedisChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/redis.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/redis.py",
"repo_id": "langchain",
"token_count": 35
} | 570 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.