Langchain json loader example. This is the easiest and most reliable way to get structured outputs. This method takes a schema as input which specifies the names, types, and descriptions of the desired output attributes. This is often the best starting point for individual developers. js and gpt to parse , store and answer question such as for example: "find me jobs with 2 year exper load # Load module helps with serialization and deserialization. Maybe not your preferred way, but the output is equivalent to your input. base import BaseLoader While some model providers support built-in ways to return structured output, not all do. Create the Chat Loader and call loader. This notebook covers how to use Unstructured document loader to load files of many types. Unstructured currently supports loading of text files, powerpoints, html, pdfs, images, and more. Dec 9, 2024 · import importlib import json import os from typing import Any, Dict, List, Optional, Tuple from langchain_core. LangSmith Chat Datasets This notebook demonstrates an easy way to load a LangSmith chat dataset and fine-tune a model on that data. e. , CSV, PDF, HTML) and data source (e. The file contains multiple entries (father, mother, children). document_loaders. I These loaders are used to load web resources. These applications use a technique known as Retrieval Augmented Generation, or RAG. Each row of the CSV file is translated to one document. embeddings. lazy_load()) to perform the conversion. document_loaders. Explore the Langchain JSON loader for Windows, enabling efficient data handling and integration in your applications. Nov 29, 2024 · Note: This post is a reflection of my learning journey with LangChain, inspired by insights from the official documentation and related resources. \n\nEvery document loader exposes two methods:\n1. I only have 3 JSON object in the file. If is_content_key_jq_parsable is True, this has to be a jq Dec 9, 2024 · Initialize the JSONLoader. vectorstores import Chroma from langchain. For example, if your JSON file has specific keys you want to target, you need to specify them correctly. Chroma is a AI-native open-source vector database focused on developer productivity and happiness. One of its This example goes over how to load data from folders with multiple files. Parameters: file_path (Union[str, Path]) – The path to the JSON or JSON Lines file. It uses the jq python package. The overall steps are: Download your messenger data to disk. Fine-tune your model. 2w次，点赞31次，收藏70次。使用文档加载器将数据从源加载为Document是一段文本和相关的元数据。例如，有一些文档加载器用于加载简单的. The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc. load() → List[Document] [source] ¶ Load and return documents from the JSON file. In this article, we will focus on a specific use case of LangChain i. Parameters: json_path (str) – The path to the json file. JSON加载器使用JSON指针来定位您想要定位的JSON文件中的键。 Build a Retrieval Augmented Generation (RAG) App One of the most powerful applications enabled by LLMs is sophisticated question-answering (Q&A) chatbots. LangChain implements a JSONLoader to convert JSON and JSONL data into LangChain Document objects. For detailed documentation of all JSONLoader features and configurations head to the API reference. _api import beta from langchain_core. Interface Documents loaders implement the BaseLoader interface. Setup In the realm of data-driven applications, particularly those involving conversational interfaces and Large Language Models (LLMs), the ability to efficiently load, process, and interact with data from various sources is crucial. Ensure that the JSON file structure matches the expected format and that you provide the correct keys to the JSONLoader to extract the relevant data. Example JSON file: Jun 2, 2025 · Let’s put document loaders to work with a real example using LangChain. string import StrOutputParser from langchain_core. 如何加载 JSON JSON (JavaScript 对象表示法) 是一种开放标准文件格式和数据交换格式，使用人类可读的文本来存储和传输由属性-值对和数组（或其他可序列化值）组成的数据对象。 JSON Lines 是一种文件格式，其中每一行都是一个有效的 JSON 值。 LangChain 实现了一个 JSONLoader 用于将 JSON 和 JSONL 数据转换为 JSON（JavaScript对象表示法）是一种开放标准的文件格式和数据交换格式，它使用可读性强的文本来存储和传输由属性-值对和数组（或其他可序列化值）组成的数据对象。 How to write a custom document loader If you want to implement your own Document Loader, you have a few options. 1 JSON mode: Returning responses in JSON format. Also, this code assumes that the load method of the loaders returns a document that can be directly appended to the ChromaDB database. This loader is currently fairly opinionated in how to do so. This is useful when you want to answer questions about a JSON blob that's too large to fit in the context window of an LLM. Why not simply upload the JSON to ChatGPT? Simply We can construct agents to consume arbitrary APIs, here APIs conformant to the OpenAPI/Swagger specification. , some pre-built chains). How to create a custom Document Loader Overview Applications based on LLMs frequently entail extracting data from databases or files, like PDFs, and converting it into a format that LLMs can utilize. Please note that you need to replace 'path_to_directory' with the actual path to your directory and db with your ChromaDB instance. Here’s a basic example: This json splitter splits json data while allowing control over chunk sizes. Document loaders DocumentLoaders load data into the standard LangChain Document format. For example, there are document loaders for loading a simple `. document_loaders import TextLoader loader = TextLoader("AI_Introduction. Oct 14, 2024 · # 深入解析JSON加载：使用LangChain轻松转换JSON数据 ## 引言 JSON（JavaScript对象表示法）是现代编程中广泛使用的数据格式。它以人类可读的形式存储和传输数据对象，常用于Web应用和API。因此，如何有效地加载和处理JSON数据成为了开发者的一项基本技能。本文将探讨如何使用LangChain库的`JSONLoader`来将 Docling parses PDF, DOCX, PPTX, HTML, and other formats into a rich unified representation including document layout, tables etc. txt` file, for loading the text\ncontents of any web page, or even for loading a transcript of a YouTube video. For detailed documentation of all DirectoryLoader features and configurations head to the API reference. Still, this is a great way to get started with LangChain - a lot of features can be built with just some prompting and an LLM call! Jan 17, 2024 · This code will load all markdown, pdf, and JSON files from the specified directory and append them to the ChromaDB database. The way it does it is it first looks for all messages that you have sent. txt文件，用于加载任何网页的文本内容，甚至用于加载YouTube视频的副本。文档加载器提供了一种“加载”方法，用于从配置的源中将数据作为文档 Jul 1, 2024 · Image via OpenAI and edited by Author The Challenge I was recently provided a challenge: Develop a chatbot that can answer questions about a JSON dataset using an LLM and pre-defined student data in JSON format. Example files: Apr 6, 2025 · Prerequisite: To understand the code examples in this article, you need to know how to interact with LLM models using LangChain. Feb 23, 2024 · To have a quick demo I manually modify it simply if the content of your json file like this: https://python. langchain: A package for higher level components (e. Document loaders are designed to load document objects. This tutorial will show how to build a simple Q&A application over a text While this guide focuses how to use examples with a tool calling model, this technique is generally applicable, and will work also with JSON more or prompt based techniques. load or orjson. LangChain, an open-source framework, plays a pivotal role in this process with its extensive suite of document loaders designed to handle a wide range of data types This loader goes over how to load data from GMail. It then fetches that previous email, and creates a training example of that Feb 3, 2025 · LangChain is a powerful framework designed to facilitate interactions between large language models (LLMs) and various data sources. The loader will load all strings it finds in the file into a separate Document. For example, you’ll load client policy documents from text files, financial reports from PDFs, marketing strategies from Word documents, and product reviews from JSON files. This class helps map exported WhatsApp conversations to LangChain chat messages. com/docs/modules/data_connection/document_loaders/json Jun 17, 2025 · Build an Agent LangChain supports the creation of agents, or systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. py file. If JSON JSON (JavaScript Object Notation) 是一种开放标准的文件格式和数据交换格式，存储和传输方便，且可读。JSON 对象由属性 key - 值 value 对和数组（或其他可序列化值）组成的数据对象。 JSONLoader 使用指定的 jq schema 来解析 JSON 文件。它使用 jq python 包。 查看这个 手册 来详细了解 jq 语法。 Introduction LangChain is a framework for developing applications powered by large language models (LLMs). Subclassing BaseDocumentLoader You can extend the BaseDocumentLoader class directly. Aug 29, 2024 · The output looks like it's JSON encoded? A Python dict would use single quotes by default, so I'm guessing data[0]. docstore. base import BasePromptTemplate from langchain_core. Oct 13, 2023 · The LangChain document loader modules allow you to import documents from various sources such as PDF, Word, JSON, Email, Facebook Chat, etc. Say you have a PDF you’d like to load into your app; maybe a research paper, product guide, or internal policy doc. Use the LangSmithDatasetChatLoader to load examples. The process is simple and comprises 3 steps. This is a relatively simple LLM application - it's just a single LLM call plus some prompting. Then you can use the fine-tuned model in your LangChain app. How to load CSVs A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. One document will be created for each JSON object in the file. In the below example, we are using the OpenAPI spec for the OpenAI API, which you How to load data from a directory This covers how to load all documents in a directory. Integrations You can find available integrations on the Document loaders integrations page. mapping How to load CSV data A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. from langchain_community. New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications. Before diving in, let's install our prerequisites How to parse JSON output While some model providers support built-in ways to return structured output, not all do. page_content is implicitly encoded to JSON again? And Unicode escape sequences are a perfectly valid way to encode those characters. The second argument is a JSONPointer to the property to extract from each JSON object in the file. However, in the current version of LangChain, there isn't a built-in way to handle multiple file types with a single DirectoryLoader instance. Read this article to know more about it. document import Document from langchain. How to: pass in callbacks at runtime How to: attach callbacks to a module How to: pass callbacks into a module constructor How to: create custom callback handlers How to: await callbacks Document loaders are designed to load document objects. Sep 29, 2023 · Build AI-powered applications using LangChainJS, the JavaScript library that makes it easy to interact with large language models. "Load": load documents from the configured source\n2. The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. Multiple individual files This example goes over how to load data from multiple file paths. If is_content_key_jq_parsable is True, this has to be a jq compatible This example goes over how to load data from JSONLines or JSONL files. The content is based on resources found link. how to use LangChain to chat with own data. Here is the method: File Loaders Compatibility Only available on Node. Jun 8, 2024 · Langchain is a powerful library to work and intereact with large language models and stuffs. It is used when you already have a parsed JSON object, for example from json. First, we’ll demonstrate how to load them using Figma Figma is a collaborative web application for interface design. After executing actions, the results can be fed back into the LLM to determine whether more actions are needed, or whether it is okay to finish. May 18, 2025 · Below is an example of how to load a text file using TextLoader from langchain_community. It represents a document loader that loads documents from JSON files. LangChain implements a JSONLoader to convert JSON and JSONL data into LangChain Document objects. If is_content_key_jq_parsable is True, this has to be a jq compatible JSON This notebook showcases an agent interacting with large JSON/dict objects. , making them ready for generative AI workflows like RAG. txt") documents = loader. Example folder: Dec 27, 2023 · However, the LangChain codebase does contain a method that allows for loading a Python JSON dict directly. Jul 15, 2024 · Ans. Return type: (str) Jun 28, 2024 · In this blog post, I will guide you through the process of ensuring that you receive only JSON responses from any LLM (Large Language… This covers how to load YouTube transcripts into LangChain documents. May 17, 2023 · I am trying to load a folder of JSON files in Langchain as: loader = DirectoryLoader(r'C:') But I got such an error message: ValueError: Json schema does not match the Unstructured schema. Each line of the file is a data record. View the full docs of Chroma at this page, and find the API reference for the LangChain integration at this page. In LangChain, this usually involves creating Document objects, which encapsulate the extracted text (page_content) along with metadata—a dictionary containing details about the document, such as How to load documents from a directory LangChain's DirectoryLoader implements functionality for reading files from disk into LangChain Document objects. In this example, we want to only extract information from "from" and "surname" entries. langgraph: Powerful orchestration layer for LangChain. Jun 18, 2023 · Need some help. This example goes over how to load data from folders with multiple files. I have the following json content in a file and would like to use langchain. In today’s blog, We gonna dive deep into methods of Loading Document with langchain library. By the end of this How to load PDF files Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems. Here we demonstrate: How to load from a filesystem, including use of wildcard patterns; How to use multithreading for file I/O; How to use custom loader classes to parse specific file types (e. Use LangGraph to build stateful agents with first-class streaming and human-in-the-loop support. document_loaders import JSONLoader from langchain_community. JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other serializable values). The BaseDocumentLoader class provides a few convenience methods for loading documents from a variety of sources. Apr 9, 2024 · Explore the functionality of document loaders in LangChain. You would need to create a separate DirectoryLoader for each file Chroma This notebook covers how to get started with the Chroma vector store. Learn how these tools facilitate seamless document handling, enhancing efficiency in AI application development. The second argument is a map of file extensions to loader factories. It attempts to keep nested json objects whole but will split them if needed to keep chunks between a minchunksize and the maxchunk_size. It simplifies the generation of structured few-shot examples by just requiring Pydantic representations of the corresponding tool calls. merge import MergedDataLoader import json If you pass in a file loader, that file loader will be used on documents that do not have a Google Docs or Google Sheets MIME type. js. This is a multi-part tutorial: Part 1 (this guide) introduces RAG Mar 20, 2024 · from normal_chat import call_with_prompt # from langchain_community. langchain. """ import json import logging from pathlib import Path from typing import Callable, Optional, Union import yaml from langchain_core. Text in PDFs is typically Sep 3, 2023 · 0 So the JSONLoader just makes it easier to parse JSON files. few_shot import FewShotPromptTemplate from langchain Jul 12, 2023 · I modified the data loader of this source code https://github. The content can only be text so my suggestion would be to load different parts of your JSON object separately along with suitable metadata. Sep 21, 2024 · This guide will provide a comprehensive walkthrough on how to load JSON files in LangChain, covering everything from setup to practical implementations. Example folder: """Load prompts. jq_schema (str) – The jq schema to use to extract the data or text from the JSON. json', but it is not working. Class that extends the TextLoader class. Returns: The string representation of the json file. In this video, I will walk you through how we can use JSONLoader to load json files as well as we will create a JSON Agent to extract information from the yaml file. This is often achieved via tool-calling. Sep 20, 2023 · This blog post discusses how to use the LangChain framework in combination with OpenAI's GPT models and Python to extract and generate structured JSON data. utils. base import BaseLoader Explore Langchain's JSON loader in JavaScript for efficient data handling and integration in your applications. LangChain is introduced as a framework for developing AI-driven applications, emphasizing its ease of use for prompt engineering and data lazy_load() → Iterator[Document] ¶ A lazy loader for Documents. This application will translate text from English into another language. load_json(json_path: str | Path) → str[source] # Load json file to a string. load. The method Multiple individual files This example goes over how to load data from multiple file paths. base import BaseLoader LangChain 0. loads. but we have so many document loaders integrations with langchain , and i… Aug 7, 2023 · LangChain is an open-source developer framework for building LLM applications. The tutorial is hands-on and provides practical insights into working with JSON data using Lang Chain's JSON Loader, highlighting key aspects like error handling, data extraction, and This notebook provides a quick overview for getting started with JSON document loader. LangChain is a framework for building LLM-powered applications. In this tutorial we . These loaders are used to load files given a filesystem path or a Blob object. , code); How to handle errors, such as those due Aug 10, 2023 · Langchain, an innovative natural language processing library, opens the door to fascinating conversational experiences with datasets in Python. These loaders allow you to read and convert various file formats into a unified document structure that can be easily processed. Google ColabSign in How to: load PDF files How to: load web pages How to: load CSV data How to: load data from a directory How to: load HTML data How to: load JSON data How to: load Markdown data How to: load Microsoft Office data How to: write a custom document loader Text splitters Text Splitters take a document and split into chunks that can be used for retrieval. We can use an output parser to help users to specify an arbitrary JSON schema via the prompt, query a model for outputs that conform to that schema, and finally parse that schema as JSON. How to load PDFs Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems. prompts. Parameters: file_path (Union[str, PathLike]) – The path to the JSON or JSON Lines file. JSONLoader 本笔记本提供了 JSON 文档加载器 的快速入门概述。有关 JSONLoader 所有功能和配置的详细文档，请查阅 API 参考。 待办：添加任何其他相关链接，例如有关底层 API 的信息等。 概述 集成详情 LangChain includes a utility function tool_example_to_messages that will generate a valid sequence for most model providers. LangChain implements a CSV Loader that will load CSV files into a sequence of Document objects. Document Loaders are usually used to load a lot of Documents in a single run. These are applications that can answer questions about specific source information. For detailed documentation of all ChatOpenAI features and configurations head to the API reference. load() Aug 22, 2023 · DirectoryLoader for different file types🤖 Hello, In Python, you can create a similar DirectoryLoader by using a dictionary to map file extensions to their respective loader classes. Chroma is licensed under Apache 2. WhatsApp This notebook shows how to use the WhatsApp chat loader. Public data sources like YouTube and Wikipedia can be accessed without tokens, while private data sources like AWS or Azure require access tokens. import json from os import PathLike from pathlib import Path from typing import Any, Callable, Dict, Iterator, Optional, Union from langchain_core. One of the most powerful applications enabled by LLMs is sophisticated question-answering (Q&A) chatbots. It has a constructor that takes a filePathOrBlob parameter representing the path to the JSON file or a Blob object, and an optional pointers parameter that specifies the JSON pointers to extract. base import BaseLoader Sep 17, 2024 · In summary, the capability to load different file types in Langchain facilitates efficient data processing for a variety of applications. The process has three steps: Export the chat conversations to computer Create the WhatsAppChatLoader with the file path pointed to the json file or directory of JSON files Call loader. Directory Loader # This covers how to use the DirectoryLoader to load all documents in a directory. These functions support JSON and JSON-serializable objects. The following script demonstrates how to import a PDF document using the PyPDFLoader object from the langchain. Sep 14, 2024 · Understanding DirectoryLoader in LangChain LangChain is an innovative framework designed to facilitate the development of applications that involve Natural Language Processing (NLP). document_loaders # Document Loaders are classes to load Documents. Within my input JSON data, there are three keys: page_name, page_da JSON files The JSON loader use JSON pointer to target keys in your JSON files you want to target. document module. Here's an approach that will probably achieve what you want: Load the JSON file into memory and return an array of objects. LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source components and third-party integrations. While this tutorial focuses how to use examples with a tool calling model, this technique is generally applicable, and will work also with JSON more or prompt based techniques. output_parsers. It uses a specified jq schema to parse the JSON files, allowing for the extraction of specific fields into the content and metadata of the LangChain Document. In the below example, we are using the OpenAPI spec for the OpenAI API, which you can Dec 9, 2024 · import json from pathlib import Path from typing import Any, Callable, Dict, Iterator, Optional, Union from langchain_core. Includes base interfaces and in-memory implementations. load() (or loader. It then looks for messages where you are responding to a previous email. The loader will load all strings it finds in the JSON object. Parameters text_splitter – TextSplitter instance to use for splitting documents Explore a proper JSON example for Langchain, showcasing its structure and usage in various applications. ClassesFunctions Build a Retrieval Augmented Generation (RAG) App: Part 1 One of the most powerful applications enabled by LLMs is sophisticated question-answering (Q&A) chatbots. content_key (str) – The key to use to extract the content from the JSON if the jq_schema results to a list of objects (dict). json_loader """Loads data from JSON. Understanding JSON and Its You can do a more advanced scenario by choosing which keys in your JSON object you want to extract string from. The file loads but a call to length function returns 13 docs. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves. sentence_transformer import SentenceTransformerEmbeddings from langchain_community Feb 15, 2025 · What is LangChain DocumentLoader? In simple terms, LangChain’s DocumentLoader is a set of tools/APIs that help you automatically fetch and prepare text from different sources for AI models File Directory This covers how to load all documents in a directory. Class hierarchy: Mar 22, 2024 · 文章浏览阅读1. chat import ChatPromptTemplate from langchain_core. Can you please show how how to parse the JSON file so I can correctly add to a Vector database to perform query? import json from pathlib import Path from typing import Any, Callable, Dict, Iterator, Optional, Union from langchain_core. This method revives a LangChain class from a JSON object. , YouTube, Wikipedia, GitHub). load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document] ¶ Load Documents and split into chunks. You can do a more advanced scenario by choosing which keys in your JSON object you want to extract string from. An example use case is as follows: To save and load LangChain objects using this system, use the dumpd, dumps, load, and loads functions in the load module of langchain-core. The method is called load and it is defined in the load. LangChainは、チュートリアルの入り口であるJSONローダーを使用してJSONデータを読み込みます。 A `Document` is a piece of text\nand associated metadata. 249 Source code for langchain. LangChain supports over two hundred document loaders categorized by file type (e. This guide covers how to load PDF documents into the LangChain Document format that we use downstream. with_structured_output() is implemented for models that provide native APIs for structuring outputs, like tool/function calling or JSON mode, and makes use of these capabilities under the hood. I created a dummy JSON file and according to the LangChain documentation, it fits JSON structure as described in the document. This notebook provides a quick overview for getting started with DirectoryLoader document loaders. It traverses json data depth first and builds smaller json chunks. Example Code The following code of JSON Loader, which is there in Langchain Documentation import { JSONLoader } from "langchain/document_loaders/fs/json"; load_json # langchain_community. This agent uses JSON to format its outputs, and is aimed at supporting Chat Models. Optionally use merge_chat_runs to combine message from the same sender in sequence, and/or map_ai_messages to convert messages from Feb 18, 2024 · Unfortunately, keeping the data together in a single Document is not possible to achieve with JSONLoader and the format of your JSON file. Facebook Messenger This notebook shows how to load data from Facebook into a format you can fine-tune on. This allows you to easily create few-shot example retrievers from the loaded documents. Here is an example of how to load an Excel document from Google Drive using a file loader. Each file will be passed to the matching loader JSON Toolkit This notebook showcases an agent interacting with large JSON/dict objects. langchain-core: Core langchain package. Parameters file_path (Union[str, Path]) – The path to the JSON or JSON Lines file. How to: use legacy LangChain Agents (AgentExecutor) How to: migrate from legacy LangChain agents to LangGraph Callbacks Callbacks allow you to hook into the various stages of your LLM application's execution. May 23, 2023 · yes, langchain is great framework for LLM model interaction. JSON加载器使用JSON指针来定位您想要定位的JSON文件中的键。 In this quickstart we'll show you how to build a simple LLM application with LangChain. Apr 9, 2024 · The primary objective of this activity is to display a summarized response alongside the document source in the LangChain QA bot. g. Each file will be passed to the matching loader, and the resulting documents will be concatenated together. """ import json from pathlib import Path from typing import Any, Callable, Dict, List, Optional, Union from langchain. 0. Access Google's Generative AI models, including the Gemini family, directly via the Gemini API or experiment rapidly using Google AI Studio. Explore the Langchain JSON loader splitter for efficient data handling and processing in your applications. json_loader import JSONLoader from langchain_community. Loads the example inputs as the Document page content and places the entire example into the Document metadata. load method. Chunks are returned as Documents. Initialize the JSONLoader. Productionization Some language models are particularly good at writing JSON. Load CSV data with a single row per document. Jun 19, 2024 · The JSONLoader in LangChain might not be extracting the relevant information from your JSON file properly. By equipping yourself with the right tools and knowledge on each file format’s nuances, you can enhance your project’s performance and scalability. Jun 18, 2023 · I create a JSON file with 3 object and use the langchain loader to load the file. No JSON pointer example The most simple way of using it, is to specify no JSON pointer. This notebook covers how to load data from the Figma REST API into a format that can be ingested into LangChain, along with example usage for code generation. Each DocumentLoader has its own specific parameters, but they can all be invoked in the same way with the . Each record consists of one or more fields, separated by commas. callbacks. Create the chat dataset. The agent is able to iteratively explore the blob to find what it needs to answer the user's question. There are many ways you could want to load data from GMail. Deliberately, the JSON is poorly structured and in some cases well nested, perhaps representing a database call from a legacy system. Each loader is designed to parse and load data appropriately based on the specific format Jun 19, 2024 · I am sure that this is a bug in LangChain rather than my code. This notebook provides a quick overview for getting started with OpenAI chat models. Can anyone tell me how to solve this problem? I tried using glob='**/*. com/techleadhd/chatgpt-retrieval for ConversationalRetrievalChain to accept data as JSON. Under the hood, by default this uses the UnstructuredLoader This example shows how to load and use an agent with a JSON toolkit. Ronnie demonstrates using the JSON Loader with a sample JSON file in Visual Studio Code (VS Code). By… Feb 4, 2025 · To achieve this, you’ll use LangChain’s powerful document loaders. documents import Document from langchain_community. The langchain-google-genai package provides the LangChain integration for these models. This example shows how to load and use an agent with a JSON toolkit. They do not involve the local file system. langchain-community: Community-driven components for LangChain. oacu qirtq duwaj sgcff yrmhx iswmr kfeun ffko tzjikz uvrmywf