text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.document_loaders.parsers.registry import (
get_parser,
)
__all__ = ["get_parser"]
| langchain/libs/langchain/langchain/document_loaders/parsers/registry.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/registry.py",
"repo_id": "langchain",
"token_count": 41
} | 535 |
use crate::console_log;
use crate::worker::{ModelData, Worker, WorkerInput, WorkerOutput};
use std::str::FromStr;
use wasm_bindgen::prelude::*;
use wasm_bindgen_futures::JsFuture;
use yew::{html, Component, Context, Html};
use yew_agent::{Bridge, Bridged};
async fn fetch_url(url: &str) -> Result<Vec<u8>, JsValue> {
... | candle/candle-wasm-examples/llama2-c/src/app.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/app.rs",
"repo_id": "candle",
"token_count": 5458
} | 77 |
from typing import Any, Dict, List
from unittest.mock import patch
import pytest
from llama_index.legacy.readers.mongo import SimpleMongoReader
from llama_index.legacy.schema import MetadataMode
try:
from pymongo import MongoClient
except ImportError:
MongoClient = None # type: ignore
@pytest.mark.skipif(M... | llama_index/llama-index-legacy/tests/readers/test_mongo.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/readers/test_mongo.py",
"repo_id": "llama_index",
"token_count": 1739
} | 1,634 |
from langchain_community.tools.nuclia.tool import NucliaUnderstandingAPI
__all__ = ["NucliaUnderstandingAPI"]
| langchain/libs/community/langchain_community/tools/nuclia/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/nuclia/__init__.py",
"repo_id": "langchain",
"token_count": 33
} | 305 |
# 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
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not u... | peft/src/peft/utils/__init__.py/0 | {
"file_path": "peft/src/peft/utils/__init__.py",
"repo_id": "peft",
"token_count": 703
} | 352 |
import json
import random
import string
import threading
import traceback
import time
import copy
import numpy as np
import requests
from sklearn import preprocessing
from pymilvus import Milvus, DataType
from utils.util_log import test_log as log
from utils.util_k8s import init_k8s_client_config
port = 19530
epsilon ... | milvus/tests/python_client/utils/util_pymilvus.py/0 | {
"file_path": "milvus/tests/python_client/utils/util_pymilvus.py",
"repo_id": "milvus",
"token_count": 14698
} | 2,188 |
from typing import List
import pytest
from llama_index.core.schema import Document
@pytest.fixture()
def documents() -> List[Document]:
"""Get documents."""
# NOTE: one document for now
# NOTE: in this unit test, document text == triplets
doc_text = "(foo, is, bar)\n" "(hello, is not, world)\n" "(Jan... | llama_index/llama-index-core/tests/indices/knowledge_graph/conftest.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/knowledge_graph/conftest.py",
"repo_id": "llama_index",
"token_count": 349
} | 1,157 |
"""
TResNet: High Performance GPU-Dedicated Architecture
https://arxiv.org/pdf/2003.13630.pdf
Original model: https://github.com/mrT23/TResNet
"""
from collections import OrderedDict
from functools import partial
import torch
import torch.nn as nn
from timm.layers import SpaceToDepth, BlurPool2d, ClassifierHead, SE... | pytorch-image-models/timm/models/tresnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/tresnet.py",
"repo_id": "pytorch-image-models",
"token_count": 6338
} | 383 |
from rag_pinecone.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-pinecone/rag_pinecone/__init__.py/0 | {
"file_path": "langchain/templates/rag-pinecone/rag_pinecone/__init__.py",
"repo_id": "langchain",
"token_count": 19
} | 743 |
# candle-mistral: 7b LLM with Apache 2.0 licensed weights
Mistral-7B-v0.1 is a pretrained generative LLM with 7 billion parameters. It outperforms all the publicly available 13b models
as of 2023-09-28. Weights (and the original Python model code) are released under the permissive Apache 2.0 license.
- [Blog post](ht... | candle/candle-examples/examples/mistral/README.md/0 | {
"file_path": "candle/candle-examples/examples/mistral/README.md",
"repo_id": "candle",
"token_count": 829
} | 39 |
import { ChromaClient } from "../src/ChromaClient";
const PORT = process.env.PORT || "8000";
const URL = "http://localhost:" + PORT;
const chroma = new ChromaClient({ path: URL });
export default chroma;
| chroma/clients/js/test/initClient.ts/0 | {
"file_path": "chroma/clients/js/test/initClient.ts",
"repo_id": "chroma",
"token_count": 66
} | 34 |
from llama_index.readers.steamship.base import SteamshipFileReader
__all__ = ["SteamshipFileReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-steamship/llama_index/readers/steamship/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-steamship/llama_index/readers/steamship/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,446 |
from datetime import datetime
from typing import (
Any,
AsyncIterator,
Dict,
Iterable,
Iterator,
List,
Optional,
Sequence,
Type,
)
from unittest.mock import patch
import pytest
import pytest_asyncio
from langchain_community.document_loaders.base import BaseLoader
from langchain_core... | langchain/libs/langchain/tests/unit_tests/indexes/test_indexing.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/indexes/test_indexing.py",
"repo_id": "langchain",
"token_count": 15710
} | 641 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/llama_index/readers/remote_depth/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-remote-depth/llama_index/readers/remote_depth/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,434 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/clip/test_modeling_tf_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_modeling_tf_clip.py",
"repo_id": "transformers",
"token_count": 12017
} | 789 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Sequence, Value
from .base import TaskTemplate
@dataclass(frozen=True)
class QuestionAnsweringExtractive(TaskTemplate):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | datasets/src/datasets/tasks/question_answering.py/0 | {
"file_path": "datasets/src/datasets/tasks/question_answering.py",
"repo_id": "datasets",
"token_count": 437
} | 148 |
python_sources()
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,395 |
from llama_index.legacy.indices.vector_store.retrievers.auto_retriever.auto_retriever import (
VectorIndexAutoRetriever,
)
__all__ = [
"VectorIndexAutoRetriever",
]
| llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/__init__.py",
"repo_id": "llama_index",
"token_count": 68
} | 1,501 |
import { ChatOpenAI } from "@langchain/openai";
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import {
RunnableConfig,
RunnableWithMessageHistory,
} from "@langchain/core/runnables";
import { ChatMessageHistory } from "@langchain/community/stores/message/in_memory";
// Con... | langchainjs/examples/src/guides/expression_language/runnable_history_constructor_config.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/runnable_history_constructor_config.ts",
"repo_id": "langchainjs",
"token_count": 474
} | 780 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,413 |
import { OpenAI } from "@langchain/openai";
export const run = async () => {
const model = new OpenAI();
// `call` is a simple string-in, string-out method for interacting with the model.
const resA = await model.call(
"What would be a good company name a company that makes colorful socks?"
);
console.lo... | langchainjs/examples/src/models/llm/llm_quick_start.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_quick_start.ts",
"repo_id": "langchainjs",
"token_count": 119
} | 854 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | transformers/docs/source/it/converting_tensorflow_models.md/0 | {
"file_path": "transformers/docs/source/it/converting_tensorflow_models.md",
"repo_id": "transformers",
"token_count": 2412
} | 538 |
import time
from datetime import datetime
import functools
from utils.util_log import test_log as log
DEFAULT_FMT = '[{start_time}] [{elapsed:0.8f}s] {collection_name} {func_name} -> {res!r}'
def trace(fmt=DEFAULT_FMT, prefix='test', flag=True):
def decorate(func):
@functools.wraps(func)
def inne... | milvus/tests/python_client/utils/wrapper.py/0 | {
"file_path": "milvus/tests/python_client/utils/wrapper.py",
"repo_id": "milvus",
"token_count": 1127
} | 2,130 |
package iterator
import (
"sync"
"go.uber.org/atomic"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/log"
)
var _ Iterator = (*DeltalogIterator)(nil)
type DeltalogIterator struct {
disposeCh chan struct{}
disposedOnce sync.Once
disposed atomic.Bool
... | milvus/internal/datanode/iterators/deltalog_iterator.go/0 | {
"file_path": "milvus/internal/datanode/iterators/deltalog_iterator.go",
"repo_id": "milvus",
"token_count": 745
} | 1,840 |
{
"name": "tokenizers",
"version": "0.14.0-dev0",
"repository": {
"type": "git",
"url": "git+https://github.com/huggingface/tokenizers.git"
},
"bugs": {
"url": "https://github.com/huggingface/tokenizers/issues"
},
"homepage": "https://github.com/huggingface/tokenizers/tree/master/bindings/node... | tokenizers/bindings/node/package.json/0 | {
"file_path": "tokenizers/bindings/node/package.json",
"repo_id": "tokenizers",
"token_count": 1532
} | 416 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.anthropic import Anthropic
def test_text_inference_embedding_class():
names_of_base_classes = [b.__name__ for b in Anthropic.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-anthropic/tests/test_llms_anthropic.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anthropic/tests/test_llms_anthropic.py",
"repo_id": "llama_index",
"token_count": 96
} | 1,214 |
# Command line interface (experimental)
This module providers a way to interactive with llama_index directly in shell.
## Get started
Because "experimental" is not included in the package yet (I think it's why it called "experimental"). For now, you need to git clone this repo and run these command in it.
Or you can... | llama_index/experimental/cli/README.md/0 | {
"file_path": "llama_index/experimental/cli/README.md",
"repo_id": "llama_index",
"token_count": 684
} | 1,106 |
<p align="center">
<br>
<img src="https://huggingface.co/landing/assets/tokenizers/tokenizers-logo.png" width="600"/>
<br>
<p>
<p align="center">
<img alt="Build" src="https://github.com/huggingface/tokenizers/workflows/Rust/badge.svg">
<a href="https://github.com/huggingface/tokenizers/blob/master/... | tokenizers/tokenizers/README.tpl/0 | {
"file_path": "tokenizers/tokenizers/README.tpl",
"repo_id": "tokenizers",
"token_count": 259
} | 426 |
# Generated content DO NOT EDIT
class PreTokenizer:
"""
Base class for all pre-tokenizers
This class is not supposed to be instantiated directly. Instead, any implementation of a
PreTokenizer will return an instance of this class when instantiated.
"""
def pre_tokenize(self, pretok):
"... | tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.pyi/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.pyi",
"repo_id": "tokenizers",
"token_count": 9461
} | 404 |
"""Wikidata API toolkit."""
| langchain/libs/community/langchain_community/tools/wikidata/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/wikidata/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 296 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/commands/add_new_model.py/0 | {
"file_path": "transformers/src/transformers/commands/add_new_model.py",
"repo_id": "transformers",
"token_count": 5123
} | 590 |
import { Portkey } from "@langchain/community/llms/portkey";
export const run = async () => {
const model = new Portkey({
mode: "single",
llms: [
{
provider: "openai",
virtual_key: "open-ai-key-1234",
model: "text-davinci-003",
max_tokens: 2000,
},
],
});
c... | langchainjs/examples/src/llms/portkey.ts/0 | {
"file_path": "langchainjs/examples/src/llms/portkey.ts",
"repo_id": "langchainjs",
"token_count": 207
} | 795 |
from llama_index.vector_stores.weaviate.base import WeaviateVectorStore
__all__ = ["WeaviateVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/__init__.py",
"repo_id": "llama_index",
"token_count": 35
} | 1,574 |
# coding=utf-8
# Copyright 2019-present CNRS, Facebook Inc. and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#... | transformers/src/transformers/models/flaubert/tokenization_flaubert.py/0 | {
"file_path": "transformers/src/transformers/models/flaubert/tokenization_flaubert.py",
"repo_id": "transformers",
"token_count": 10882
} | 603 |
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableUnCLI... | diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 5046
} | 271 |
# 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/roc_bert/test_tokenization_roc_bert.py/0 | {
"file_path": "transformers/tests/models/roc_bert/test_tokenization_roc_bert.py",
"repo_id": "transformers",
"token_count": 7464
} | 768 |
# flake8: noqa
"""Test llamacpp embeddings."""
import os
from urllib.request import urlretrieve
from langchain_community.embeddings.llamacpp import LlamaCppEmbeddings
def get_model() -> str:
"""Download model.
From https://huggingface.co/Sosaka/Alpaca-native-4bit-ggml/,
convert to new ggml format and ret... | langchain/libs/community/tests/integration_tests/embeddings/test_llamacpp.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_llamacpp.py",
"repo_id": "langchain",
"token_count": 695
} | 331 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/speech_to_text_2/test_tokenization_speech_to_text_2.py/0 | {
"file_path": "transformers/tests/models/speech_to_text_2/test_tokenization_speech_to_text_2.py",
"repo_id": "transformers",
"token_count": 1531
} | 751 |
# PubMed
# PubMed
>[PubMed®](https://pubmed.ncbi.nlm.nih.gov/) by `The National Center for Biotechnology Information, National Library of Medicine`
> comprises more than 35 million citations for biomedical literature from `MEDLINE`, life science journals, and online books.
> Citations may include links to full text... | langchain/docs/docs/integrations/providers/pubmed.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/pubmed.md",
"repo_id": "langchain",
"token_count": 220
} | 154 |
import { ListKeyOptions, RecordManager, UpdateOptions } from "./base.js";
interface MemoryRecord {
updatedAt: number;
groupId: string | null;
}
export class InMemoryRecordManager extends RecordManager {
lc_namespace = ["langchain", "recordmanagers", "memory"];
records: Map<string, MemoryRecord>;
construct... | langchainjs/libs/langchain-community/src/indexes/memory.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/indexes/memory.ts",
"repo_id": "langchainjs",
"token_count": 923
} | 1,024 |
---
sidebar_label: Exploratory Data Analysis
sidebar_position: 7
---
# Exploratory Data Analysis
Turn your trace data into actionable insights:
- [Exporting LLM Runs and Feedback](./exporting-llm-runs-and-feedback/llm_run_etl.ipynb): extract and interpret LangSmith LLM run data, making them ready for various analyt... | langsmith-cookbook/exploratory-data-analysis/README.md/0 | {
"file_path": "langsmith-cookbook/exploratory-data-analysis/README.md",
"repo_id": "langsmith-cookbook",
"token_count": 164
} | 1,017 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/auto.py/0 | {
"file_path": "peft/src/peft/auto.py",
"repo_id": "peft",
"token_count": 2647
} | 315 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_retrieve.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_retrieve.cpp",
"repo_id": "milvus",
"token_count": 9275
} | 1,679 |
---
sidebar_position: 3
sidebar_class_name: hidden
---
# [Beta] Memory
Most LLM applications have a conversational interface. An essential component of a conversation is being able to refer to information introduced earlier in the conversation.
At bare minimum, a conversational system should be able to access some win... | langchain/docs/docs/modules/memory/index.mdx/0 | {
"file_path": "langchain/docs/docs/modules/memory/index.mdx",
"repo_id": "langchain",
"token_count": 2547
} | 202 |
from langchain_openai.chat_models.azure import AzureChatOpenAI
from langchain_openai.chat_models.base import ChatOpenAI
__all__ = [
"ChatOpenAI",
"AzureChatOpenAI",
]
| langchain/libs/partners/openai/langchain_openai/chat_models/__init__.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/chat_models/__init__.py",
"repo_id": "langchain",
"token_count": 65
} | 651 |
<!--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/optimization/coreml.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/coreml.md",
"repo_id": "diffusers",
"token_count": 8285
} | 195 |
import os
import shutil
import tempfile
import pytest
from typing import Generator, List, Callable, Dict, Union
from chromadb.db.impl.grpc.client import GrpcSysDB
from chromadb.db.impl.grpc.server import GrpcMockSysDB
from chromadb.types import Collection, Segment, SegmentScope
from chromadb.db.impl.sqlite import Sqli... | chroma/chromadb/test/db/test_system.py/0 | {
"file_path": "chroma/chromadb/test/db/test_system.py",
"repo_id": "chroma",
"token_count": 10366
} | 21 |
.. _Ref-API_Reference:
API Reference
=============
API Reference for the ``llama-index`` package.
.. toctree::
:maxdepth: 1
agents.rst
callbacks.rst
composability.rst
evaluation.rst
example_notebooks.rst
indices.rst
llms.rst
embeddings.rst
memory.rst
node_postprocessor.rst
node.r... | llama_index/docs/api_reference/index.rst/0 | {
"file_path": "llama_index/docs/api_reference/index.rst",
"repo_id": "llama_index",
"token_count": 193
} | 1,056 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-graphql/llama_index/readers/graphql/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-graphql/llama_index/readers/graphql/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,361 |
# SageMaker push to hf.co/models example | notebooks/sagemaker/14_train_and_push_to_hub/README.md/0 | {
"file_path": "notebooks/sagemaker/14_train_and_push_to_hub/README.md",
"repo_id": "notebooks",
"token_count": 12
} | 328 |
src/ | langsmith-sdk/js/.npmignore/0 | {
"file_path": "langsmith-sdk/js/.npmignore",
"repo_id": "langsmith-sdk",
"token_count": 2
} | 1,044 |
package grpcclient
import (
"context"
"github.com/milvus-io/milvus/pkg/util"
)
type Token struct {
Value string
}
func (t *Token) GetRequestMetadata(ctx context.Context, uri ...string) (map[string]string, error) {
return map[string]string{util.HeaderSourceID: t.Value}, nil
}
func (t *Token) RequireTransportSec... | milvus/internal/util/grpcclient/auth.go/0 | {
"file_path": "milvus/internal/util/grpcclient/auth.go",
"repo_id": "milvus",
"token_count": 128
} | 2,072 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/speech_to_text/modeling_tf_speech_to_text.py/0 | {
"file_path": "transformers/src/transformers/models/speech_to_text/modeling_tf_speech_to_text.py",
"repo_id": "transformers",
"token_count": 32975
} | 731 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/blip/test_modeling_blip_text.py/0 | {
"file_path": "transformers/tests/models/blip/test_modeling_blip_text.py",
"repo_id": "transformers",
"token_count": 2774
} | 734 |
# plate-chain
This template enables parsing of data from laboratory plates.
In the context of biochemistry or molecular biology, laboratory plates are commonly used tools to hold samples in a grid-like format.
This can parse the resulting data into standardized (e.g., JSON) format for further processing.
## Envi... | langchain/templates/plate-chain/README.md/0 | {
"file_path": "langchain/templates/plate-chain/README.md",
"repo_id": "langchain",
"token_count": 555
} | 647 |
{
"ignore_dirs": [
"langchain/dist",
"langchain/dist-cjs",
"docs/build",
"node_modules",
"langchain/.turbo",
"docs/.turbo",
"test-exports/.turbo",
"test-exports-cjs/.turbo"
]
}
| langchainjs/.watchmanconfig/0 | {
"file_path": "langchainjs/.watchmanconfig",
"repo_id": "langchainjs",
"token_count": 107
} | 718 |
export function getMessageContent(x: unknown) {
if (typeof x === "string") return x;
if (typeof x === "object" && x != null) {
if ("content" in x && typeof x.content === "string") return x.content;
}
return null;
}
| langserve/langserve/playground/src/utils/messages.ts/0 | {
"file_path": "langserve/langserve/playground/src/utils/messages.ts",
"repo_id": "langserve",
"token_count": 78
} | 1,052 |
package funcutil
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
)
func Test_GetPrivilegeExtObj(t *testing.T) {
request := &milvuspb.LoadCollectionRequest{
DbName: "test",
Collectio... | milvus/pkg/util/funcutil/policy_test.go/0 | {
"file_path": "milvus/pkg/util/funcutil/policy_test.go",
"repo_id": "milvus",
"token_count": 840
} | 1,910 |
from langchain_community.llms.anyscale import (
Anyscale,
)
__all__ = ["Anyscale"]
| langchain/libs/langchain/langchain/llms/anyscale.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/anyscale.py",
"repo_id": "langchain",
"token_count": 36
} | 534 |
""" ONNX export script
Export PyTorch models as ONNX graphs.
This export script originally started as an adaptation of code snippets found at
https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html
The default parameters work with PyTorch 1.6 and ONNX 1.7 and produce an optimal ONNX graph
for h... | pytorch-image-models/onnx_export.py/0 | {
"file_path": "pytorch-image-models/onnx_export.py",
"repo_id": "pytorch-image-models",
"token_count": 1740
} | 359 |
# Model arguments
model_name_or_path: mistralai/Mistral-7B-v0.1
model_revision: main
torch_dtype: bfloat16
use_flash_attention_2: true
# Data training arguments
chat_template: "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'... | alignment-handbook/recipes/constitutional-ai/sft/config_anthropic.yaml/0 | {
"file_path": "alignment-handbook/recipes/constitutional-ai/sft/config_anthropic.yaml",
"repo_id": "alignment-handbook",
"token_count": 610
} | 24 |
"""Faithfulness evaluation."""
from __future__ import annotations
import asyncio
from typing import Any, Optional, Sequence, Union
from llama_index.core import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.indices import SummaryIndex
from llama_index... | llama_index/llama-index-core/llama_index/core/evaluation/faithfulness.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/faithfulness.py",
"repo_id": "llama_index",
"token_count": 2365
} | 1,209 |
[Unit]
Description=MinIO of Milvus Standalone Server
After=network.target syslog.target
PartOf=milvus.service
[Install]
WantedBy=multi-user.target
Alias=milvus-minio.service
[Service]
Type=simple
StandardOutput=journal
StandardError=inherit
Restart=always
# Start main service
ExecStart=/usr/bin/milvus-minio server /... | milvus/build/deb/scripts/milvus-minio.service/0 | {
"file_path": "milvus/build/deb/scripts/milvus-minio.service",
"repo_id": "milvus",
"token_count": 121
} | 1,703 |
# LlamaIndex Vector_Stores Integration: Azurecosmosmongo
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/README.md",
"repo_id": "llama_index",
"token_count": 16
} | 1,546 |
<jupyter_start><jupyter_text>Modern Treasury>[Modern Treasury](https://www.moderntreasury.com/) simplifies complex payment operations. It is a unified platform to power products and processes that move money.>- Connect to banks and payment systems>- Track transactions and balances in real-time>- Automate payment operat... | langchain/docs/docs/integrations/document_loaders/modern_treasury.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/modern_treasury.ipynb",
"repo_id": "langchain",
"token_count": 715
} | 115 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/swin2sr/test_modeling_swin2sr.py/0 | {
"file_path": "transformers/tests/models/swin2sr/test_modeling_swin2sr.py",
"repo_id": "transformers",
"token_count": 5792
} | 816 |
from langchain_community.tools.office365.send_event import (
O365SendEvent,
SendEventSchema,
)
__all__ = ["SendEventSchema", "O365SendEvent"]
| langchain/libs/langchain/langchain/tools/office365/send_event.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/office365/send_event.py",
"repo_id": "langchain",
"token_count": 55
} | 553 |
import json
import urllib.request
import warnings
from abc import abstractmethod
from enum import Enum
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.llms import BaseLLM
from langchain_core.outputs import G... | langchain/libs/community/langchain_community/llms/azureml_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/azureml_endpoint.py",
"repo_id": "langchain",
"token_count": 8506
} | 264 |
# coding=utf-8
# Copyright 2023 Adept AI and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | transformers/src/transformers/models/persimmon/configuration_persimmon.py/0 | {
"file_path": "transformers/src/transformers/models/persimmon/configuration_persimmon.py",
"repo_id": "transformers",
"token_count": 3071
} | 654 |
locust_random_performance:
collections:
-
milvus:
cache_config.insert_buffer_size: 2GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resource_config.cache_capacity: 4GB
gpu_resource_config.sea... | milvus/tests/benchmark/milvus_benchmark/suites/2_locust_random_load_release.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_locust_random_load_release.yaml",
"repo_id": "milvus",
"token_count": 438
} | 2,092 |
"""Load question answering with sources chains."""
from __future__ import annotations
from typing import Any, Mapping, Optional, Protocol
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain.chains.combine_documents.base import BaseCombineD... | langchain/libs/langchain/langchain/chains/qa_with_sources/loading.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/qa_with_sources/loading.py",
"repo_id": "langchain",
"token_count": 2736
} | 496 |
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
LLMMetadata,
MessageRole,
)
from llama_index.legacy.llms.ai21 import AI21
from llama_index.legacy.... | llama_index/llama-index-legacy/llama_index/legacy/llms/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/__init__.py",
"repo_id": "llama_index",
"token_count": 1606
} | 1,585 |
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: test-querycoord-network-partition
namespace: chaos-testing
spec:
action: partition
mode: all
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: chaos-testing
app.kubernetes.io/name: ... | milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_querycoord_network_partition.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/network_partition/chaos_querycoord_network_partition.yaml",
"repo_id": "milvus",
"token_count": 240
} | 2,167 |
from typing import Any, Optional, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.utils import get_from_env
class DoctranQATransformer(BaseDocumentTransformer):
"""Extract QA from text documents using doctran.
Arguments:
openai_api_key: OpenAI API ... | langchain/libs/community/langchain_community/document_transformers/doctran_text_qa.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/doctran_text_qa.py",
"repo_id": "langchain",
"token_count": 939
} | 272 |
"""Helper functions for managing the LangChain API.
This module is only relevant for LangChain developers, not for users.
.. warning::
This module and its submodules are for internal use only. Do not use them
in your own code. We may change the API at any time with no warning.
"""
from .deprecation impor... | langchain/libs/langchain/langchain/_api/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/_api/__init__.py",
"repo_id": "langchain",
"token_count": 220
} | 457 |
[
{
"server": "eros",
"suite_params": [
{
"suite": "gpu_search_stability.yaml",
"image_type": "gpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/stability.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/stability.json",
"repo_id": "milvus",
"token_count": 133
} | 2,084 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/tests/models/donut/test_image_processing_donut.py/0 | {
"file_path": "transformers/tests/models/donut/test_image_processing_donut.py",
"repo_id": "transformers",
"token_count": 3741
} | 743 |
[
{
"server": "idc-sh005",
"suite_params": [
{
"suite": "2_insert_search_sift10m_4096.yaml",
"image_type": "cpu"
}
]
}
] | milvus/tests/benchmark/milvus_benchmark/scheduler/search_debug.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/search_debug.json",
"repo_id": "milvus",
"token_count": 125
} | 1,932 |
import { useCallback, useRef, useState } from "react";
import { applyPatch, Operation } from "fast-json-patch";
import { fetchEventSource } from "@microsoft/fetch-event-source";
import { resolveApiUrl } from "./utils/url";
import { StreamCallback } from "./types";
export interface LogEntry {
// ID of the sub-run.
... | langserve/langserve/playground/src/useStreamLog.tsx/0 | {
"file_path": "langserve/langserve/playground/src/useStreamLog.tsx",
"repo_id": "langserve",
"token_count": 1072
} | 1,131 |
<jupyter_start><jupyter_text>HugeGraph QA ChainThis notebook shows how to use LLMs to provide a natural language interface to [HugeGraph](https://hugegraph.apache.org/cn/) database. You will need to have a running HugeGraph instance.You can run a local docker container by running the executing the following script:```d... | langchain/docs/docs/use_cases/graph/graph_hugegraph_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/graph_hugegraph_qa.ipynb",
"repo_id": "langchain",
"token_count": 1269
} | 200 |
# How to contribute
## How to get started
Before you start contributing make sure you installed all the dev tools:
```bash
pip install -e ".[dev]"
```
## Did you find a bug?
* Ensure the bug was not already reported by searching on GitHub under Issues.
* If you're unable to find an open issue addressing the proble... | trl/CONTRIBUTING.md/0 | {
"file_path": "trl/CONTRIBUTING.md",
"repo_id": "trl",
"token_count": 586
} | 850 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.bedrock import Bedrock
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in Bedrock.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_llms_bedrock.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_llms_bedrock.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,347 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/SegmentInterface.h/0 | {
"file_path": "milvus/internal/core/src/segcore/SegmentInterface.h",
"repo_id": "milvus",
"token_count": 3925
} | 1,936 |
# Hugging Face Diffusion Models Course
[](https://github.com/huggingface/diffusion-models-class/blob/main/LICENSE)
[![GitHub forks](https://img.shields.io/github/forks/huggingface/diffusion-models-class.svg?style=social&labe... | diffusion-models-class/README.md/0 | {
"file_path": "diffusion-models-class/README.md",
"repo_id": "diffusion-models-class",
"token_count": 1535
} | 264 |
import { OpenAI } from "@langchain/openai";
const model = new OpenAI({
maxTokens: 25,
});
const stream = await model.stream("Tell me a joke.");
for await (const chunk of stream) {
console.log(chunk);
}
/*
Q
:
What
did
the
fish
say
when
it
hit
the
wall
?
A
:
Dam
!
*/
| langchainjs/examples/src/models/llm/llm_streaming_stream_method.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_streaming_stream_method.ts",
"repo_id": "langchainjs",
"token_count": 111
} | 839 |
# PromptLayer OpenAI
LangChain integrates with PromptLayer for logging and debugging prompts and responses. To add support for PromptLayer:
1. Create a PromptLayer account here: [https://promptlayer.com](https://promptlayer.com).
2. Create an API token and pass it either as `promptLayerApiKey` argument in the `Prompt... | langchainjs/docs/core_docs/docs/integrations/llms/prompt_layer_openai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/prompt_layer_openai.mdx",
"repo_id": "langchainjs",
"token_count": 821
} | 764 |
/* Our DOM objects */
/* Version control */
.selectors {
margin-bottom: 10px;
}
.dropdown-button {
display: inline-block;
width: 50%;
background-color: #6670FF;
color: white;
border: none;
padding: 5px;
font-size: 15px;
cursor: pointer;
}
.dropdown-button:hover, .dropdown-button:... | tokenizers/docs/source/_static/css/huggingface.css/0 | {
"file_path": "tokenizers/docs/source/_static/css/huggingface.css",
"repo_id": "tokenizers",
"token_count": 2708
} | 468 |
ann_accuracy:
collections:
-
milvus:
cache_config.cpu_cache_capacity: 16GB
engine_config.use_blas_threshold: 1100
server:
cpus: 12
source_file: /test/milvus/ann_hdf5/sift-128-euclidean.hdf5
collection_name: sift_128_euclidean
index_types: ['flat']
index_... | milvus/tests/benchmark/milvus_benchmark/suites/2_cpu_ann_accuracy.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_cpu_ann_accuracy.yaml",
"repo_id": "milvus",
"token_count": 2804
} | 2,090 |
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
import { formatDocumentsAsString } from "langchain/util/document";
import { PromptTem... | langchainjs/examples/src/chains/conversational_qa_streaming.ts/0 | {
"file_path": "langchainjs/examples/src/chains/conversational_qa_streaming.ts",
"repo_id": "langchainjs",
"token_count": 1010
} | 775 |
<jupyter_start><jupyter_text>Astra DB > DataStax [Astra DB](https://docs.datastax.com/en/astra/home/astra.html) is a serverless vector-capable database built on Cassandra and made conveniently available through an easy-to-use JSON API.This notebook goes over how to use Astra DB to store chat message history. Setting u... | langchain/docs/docs/integrations/memory/astradb_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/astradb_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 559
} | 132 |
[tool.poetry]
name = "shopping-assistant"
version = "0.0.1"
description = "A template for a shopping assistant agent"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.12,<4.0"
langchain = "^0.1"
openai = "<2"
ionic-langchain = "^0.2.2"
langchain-openai = "^0.0.5"
langchainhub = "^0.1"
[too... | langchain/templates/shopping-assistant/pyproject.toml/0 | {
"file_path": "langchain/templates/shopping-assistant/pyproject.toml",
"repo_id": "langchain",
"token_count": 281
} | 699 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-pathway/llama_index/readers/pathway/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pathway/llama_index/readers/pathway/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,414 |
import { OpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { loadEvaluator } from "langchain/evaluation";
import { SerpAPI } from "@langchain/community/tools/serpapi";
// Capturing Trajectory
// The ... | langchainjs/examples/src/guides/evaluation/agent_trajectory/trajectory.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/agent_trajectory/trajectory.ts",
"repo_id": "langchainjs",
"token_count": 1400
} | 802 |
package proxy
import (
"context"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
func TestCreateDatabaseTask(t *t... | milvus/internal/proxy/task_database_test.go/0 | {
"file_path": "milvus/internal/proxy/task_database_test.go",
"repo_id": "milvus",
"token_count": 1631
} | 1,750 |
# LlamaIndex Embeddings Integration: Fastembed
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,256 |
# Evaluator Benchmarker Pack
A pack for quick computation of benchmark results of your own LLM evaluator
on an Evaluation llama-dataset. Specifically, this pack supports benchmarking
an appropriate evaluator on the following llama-datasets:
- `LabelledEvaluatorDataset` for single-grading evaluations
- `LabelledPairwi... | llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-evaluator-benchmarker/README.md",
"repo_id": "llama_index",
"token_count": 962
} | 1,842 |
[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 = ["GeminiEmbedding", "GooglePaLMEmbedding", "GoogleUnivSentEncoderEmbedding"]
contains_examp... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml",
"repo_id": "llama_index",
"token_count": 724
} | 1,274 |
"""Test __ModuleName__ Chat API wrapper."""
from __module_name__ import __ModuleName__LLM
def test_initialization() -> None:
"""Test integration initialization."""
__ModuleName__LLM()
| langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_llms.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 58
} | 217 |
import pytest
@pytest.fixture(scope="module")
def flash_falcon_handle(launcher):
with launcher("tiiuae/falcon-7b", trust_remote_code=True) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_falcon(flash_falcon_handle):
await flash_falcon_handle.health(300)
return flash_falco... | text-generation-inference/integration-tests/models/test_flash_falcon.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_falcon.py",
"repo_id": "text-generation-inference",
"token_count": 884
} | 411 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Convex Chat Memory
For longer-term persistence across chat sessions, you can swap out the default in-memory `chatHistory` that backs chat memory classes like `BufferMemory` for [Convex](https://convex.dev/).
## Setup
### Create projec... | langchainjs/docs/core_docs/docs/integrations/chat_memory/convex.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat_memory/convex.mdx",
"repo_id": "langchainjs",
"token_count": 578
} | 700 |
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