Business Software for LangChain

You can view detailed proxy usage statistics, create sub-users, whitelist IPs, and manage your account conveniently. All this is possible in the Oxylabs®, dashboard. A data collection tool with a 100% success rate that extracts data from e-commerce websites or search engines for you will save you time and money. We are passionate about technological innovations for data collection. With our web scraper APIs, you can be sure that you’ll extract accurate and timely public web data hassle-free. You can also focus on data analysis and not data delivery with the best proxies and our solutions. We ensure that our IP proxy resources work reliably and are always available for scraping jobs. We continue to expand the proxy pool to meet every customer's requirements. We are available to our clients and customers at all times, and can respond to their immediate needs 24 hours a day. We'll help you find the best proxy service. We want you to excel in scraping jobs, so we share all the know-how we have gathered over the years.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions. With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists. What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.

Beautiful Soup is a powerful library designed for the straightforward extraction of data from web pages. It operates on top of an HTML or XML parser, offering Pythonic conventions for traversing, searching, and altering the parse tree. Support for Python 2 was officially ended on December 31, 2020, precisely one year after Python 2 reached its end of life. Consequently, all new developments for Beautiful Soup will now be exclusively focused on Python 3. The last version of Beautiful Soup 4 that provided support for Python 2 was 4.9.3. Additionally, Beautiful Soup is distributed under the MIT license, allowing users to easily download the tarball, incorporate the bs4/ directory into nearly any Python project or library path, and begin utilizing its capabilities right away. This accessibility ensures that developers can quickly integrate web scraping functionalities into their applications without significant barriers.

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

Headless browsers that operate seamlessly in any environment every time can significantly enhance browser automation. By managing fleets of stealth browsers, you can ensure consistent and dependable performance. Concentrate on your coding efforts with automatically scaled browser instances that come equipped with top-tier stealth capabilities. Execute hundreds of browser sessions that are powered by robust resources for uninterrupted, long-term operations. Utilize headless browsers similarly to standard browsers, gaining real-time access, playback options, and comprehensive tools that include logging and network features. Develop and implement undetectable automation solutions that utilize customizable fingerprinting, automatic captcha resolution, and proxy support. Browserbase stands out as a platform for creating cutting-edge AI agents that can navigate intricate web pages without detection. With just a few lines of code, empower your AI agents to engage with any web page unobtrusively and efficiently at scale. Additionally, you can utilize the live session view feature at any moment, allowing human intervention to assist in tackling complex tasks. Ultimately, Browserbase's robust infrastructure enables you to elevate your web scraping, automation, and LLM applications to new heights by ensuring efficiency and effectiveness.

With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.

DeepSeek-R1 is a cutting-edge open-source reasoning model created by DeepSeek, aimed at competing with OpenAI's Model o1. It is readily available through web, app, and API interfaces, showcasing its proficiency in challenging tasks such as mathematics and coding, and achieving impressive results on assessments like the American Invitational Mathematics Examination (AIME) and MATH. Utilizing a mixture of experts (MoE) architecture, this model boasts a remarkable total of 671 billion parameters, with 37 billion parameters activated for each token, which allows for both efficient and precise reasoning abilities. As a part of DeepSeek's dedication to the progression of artificial general intelligence (AGI), the model underscores the importance of open-source innovation in this field. Furthermore, its advanced capabilities may significantly impact how we approach complex problem-solving in various domains.

Numerous applications necessitate the use of the terminal to input commands, along with managing various complex environments and installation configurations. Pinokio simplifies this process by allowing everything to be encapsulated in a straightforward JSON script, which can be executed in a browser with a single click. Operating a server on a personal computer can be quite challenging, as it involves accessing the terminal and executing multiple commands, while also requiring the terminal to remain open for continuous operation. This complexity can deter many users from attempting to run their own servers.

Diffbot offers a range of products that can transform unstructured data across the internet into structured, contextual databases. Our products are built on cutting-edge machine vision software and natural language processing software, which is able to parse billions upon billions of web pages each day. Our Knowledge Graph product is the largest global contextual database, containing over 10 billion entities, including people, organizations, products, articles, and other entities. Knowledge Graph's innovative scraping technology and fact parsing technology link entities into contextual databases. This allows for the incorporation of over 1 trillion "facts", from all over the internet, in just a few seconds. Enhance provides information about people and organizations that you already have information on. Enhance allows users to create robust data profiles about the opportunities they have. Our Extraction APIs may be pointed to any page you wish data extracted from. This could be product, people or article.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

Achieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications. With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants. Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback.

Cognee is an innovative open-source AI memory engine that converts unprocessed data into well-structured knowledge graphs, significantly improving the precision and contextual comprehension of AI agents. It accommodates a variety of data formats, such as unstructured text, media files, PDFs, and tables, while allowing seamless integration with multiple data sources. By utilizing modular ECL pipelines, Cognee efficiently processes and organizes data, facilitating the swift retrieval of pertinent information by AI agents. It is designed to work harmoniously with both vector and graph databases and is compatible with prominent LLM frameworks, including OpenAI, LlamaIndex, and LangChain. Notable features encompass customizable storage solutions, RDF-based ontologies for intelligent data structuring, and the capability to operate on-premises, which promotes data privacy and regulatory compliance. Additionally, Cognee boasts a distributed system that is scalable and adept at managing substantial data volumes, all while aiming to minimize AI hallucinations by providing a cohesive and interconnected data environment. This makes it a vital resource for developers looking to enhance the capabilities of their AI applications.

Apify serves as a powerful platform for web scraping and automation, allowing users to transform any website into an accessible API. Developers can independently create workflows for data extraction or web automation, while non-developers have the option to purchase ready-made solutions. With our user-friendly scraping tools, you can begin harvesting vast quantities of structured data immediately or collaborate with us to address your specific needs. Our services deliver quick and precise results that you can depend on. Enhance your operations by automating repetitive tasks and expediting workflows through our versatile automation software. This automation empowers you to outperform your competitors with greater efficiency and less exertion. You can export the scraped data in formats that machines can easily read, such as JSON or CSV. Apify also allows for seamless integration with your existing workflows in platforms like Zapier or Make, as well as any other web application utilizing APIs and webhooks. Our intelligent management of both data center and residential proxies, paired with top-tier browser fingerprinting technology, ensures that Apify bots are virtually indistinguishable from human users. With Apify, you can unlock the full potential of web data for your business or projects.

Playwright is compatible with all contemporary rendering engines, such as Chromium, WebKit, and Firefox. It enables testing across various operating systems like Windows, Linux, and macOS, whether locally or in continuous integration environments, and can operate in both headless and headed modes. The framework ensures that actions are only performed once elements are ready for interaction, and it includes a comprehensive set of introspection events. This synergy effectively removes the reliance on artificial timeouts, which are a common source of unreliable tests. Additionally, Playwright's assertions are tailored for the dynamic nature of the web, automatically reattempting checks until the specified criteria are fulfilled. Users can customize their test retry strategies and capture execution traces, videos, and screenshots to further mitigate instability. In terms of architecture, browsers execute web content from different origins in separate processes, allowing Playwright to align with modern browser frameworks and conduct tests out-of-process. This design choice helps to avoid the usual constraints associated with in-process test runners, ultimately enhancing testing efficiency and reliability. As a result, Playwright emerges as a robust solution for developers seeking to streamline their testing processes.

ScraperAPI offers a robust and easy-to-use web scraping API designed to collect data from virtually any public website, eliminating the hassle of proxies, CAPTCHAs, or browser configurations. It supports a variety of scraping solutions, including plug-and-play APIs, structured data endpoints for major platforms like Amazon and Google, and asynchronous request handling for massive scale operations. The platform converts complicated web data into clean, structured JSON or CSV, making it simple to integrate into analytics or dashboards. With features like automated proxy rotation and global geotargeting, users can scrape localized data from over 50 countries without being blocked. ScraperAPI allows users to automate entire data pipelines without writing code, saving valuable engineering time and resources. The service is GDPR and CCPA compliant and boasts a generous free tier alongside enterprise-grade support. Companies rely on ScraperAPI to streamline data extraction, improve response times, and maintain high success rates on difficult sites. This makes it a trusted tool for businesses aiming to leverage data for market research, ecommerce intelligence, SEO tracking, and more.

Metal serves as a comprehensive, fully-managed machine learning retrieval platform ready for production. With Metal, you can uncover insights from your unstructured data by leveraging embeddings effectively. It operates as a managed service, enabling the development of AI products without the complications associated with infrastructure management. The platform supports various integrations, including OpenAI and CLIP, among others. You can efficiently process and segment your documents, maximizing the benefits of our system in live environments. The MetalRetriever can be easily integrated, and a straightforward /search endpoint facilitates running approximate nearest neighbor (ANN) queries. You can begin your journey with a free account, and Metal provides API keys for accessing our API and SDKs seamlessly. By using your API Key, you can authenticate by adjusting the headers accordingly. Our Typescript SDK is available to help you incorporate Metal into your application, although it's also compatible with JavaScript. There is a mechanism to programmatically fine-tune your specific machine learning model, and you also gain access to an indexed vector database containing your embeddings. Additionally, Metal offers resources tailored to represent your unique ML use-case, ensuring you have the tools needed for your specific requirements. Furthermore, this flexibility allows developers to adapt the service to various applications across different industries.

Proxycurl provides APIs to enrich global profiles of people and companies with structured data. We offer tons and tons of data pulled live from our APIs & Dataset, all of which is legally compliant with CCPA, GDPR. Our APIs are primarily based on LinkedIn and other sources. They return data about people, companies, contacts, and jobs. For more information, please see our documentation. Our LinkDB is a comprehensive dataset of publicly available LinkedIn members and companies. It contains profiles of more than 401M individuals and companies from around the world.

Support for ChatGPT and LangChain is now natively integrated, with additional platforms like Bing and HuggingFace on the horizon. You can either manually input your API documentation or import it using an existing OpenAPI specification. Gain insights into the request prompt, parameters, headers, body, and other relevant data. Furthermore, you can monitor comprehensive live metrics regarding your plugin's performance, such as latencies and errors. Tailor your own dashboards to track funnels and aggregate various metrics for deeper analysis. This functionality empowers users to optimize their systems effectively.

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

While generative AI is a relatively recent development, our efforts over the last five years have paved the way for this moment. Deep Lake merges the strengths of data lakes and vector databases to craft and enhance enterprise-level solutions powered by large language models, allowing for continual refinement. However, vector search alone does not address retrieval challenges; a serverless query system is necessary for handling multi-modal data that includes embeddings and metadata. You can perform filtering, searching, and much more from either the cloud or your local machine. This platform enables you to visualize and comprehend your data alongside its embeddings, while also allowing you to monitor and compare different versions over time to enhance both your dataset and model. Successful enterprises are not solely reliant on OpenAI APIs, as it is essential to fine-tune your large language models using your own data. Streamlining data efficiently from remote storage to GPUs during model training is crucial. Additionally, Deep Lake datasets can be visualized directly in your web browser or within a Jupyter Notebook interface. You can quickly access various versions of your data, create new datasets through on-the-fly queries, and seamlessly stream them into frameworks like PyTorch or TensorFlow, thus enriching your data processing capabilities. This ensures that users have the flexibility and tools needed to optimize their AI-driven projects effectively.

Flowise is a versatile open-source platform that simplifies the creation of tailored Large Language Model (LLM) applications using an intuitive drag-and-drop interface designed for low-code development. This platform accommodates connections with multiple LLMs, such as LangChain and LlamaIndex, and boasts more than 100 integrations to support the building of AI agents and orchestration workflows. Additionally, Flowise offers a variety of APIs, SDKs, and embedded widgets that enable smooth integration into pre-existing systems, ensuring compatibility across different platforms, including deployment in isolated environments using local LLMs and vector databases. As a result, developers can efficiently create and manage sophisticated AI solutions with minimal technical barriers.

Develop AI applications effortlessly using an intuitive editor reminiscent of Notion, eliminating the need for coding skills or costly developers. We take care of all aspects including hosting, database management, and deployment. Typeblock empowers entrepreneurs, agencies, and marketing teams to create AI-driven tools in less than two minutes. Craft SEO-friendly blog posts and publish them directly to your content management system. Design a solution that tailors personalized cold emails specifically for your sales force. Additionally, create tools that generate compelling Facebook ads, engaging LinkedIn posts, or insightful Twitter threads. You can also develop an application that produces persuasive landing page content for your marketing efforts. Leverage the capabilities of AI to construct tools that deliver captivating newsletters, enhancing communication for you and your audience. In this fast-paced digital landscape, the ability to create impactful AI tools has never been easier.

Zep guarantees that your assistant retains and recalls previous discussions when they are pertinent. It identifies user intentions, creates semantic pathways, and initiates actions in mere milliseconds. Rapid and precise extraction of emails, phone numbers, dates, names, and various other elements ensures that your assistant maintains a flawless memory of users. It can categorize intent, discern emotions, and convert conversations into organized data. With retrieval, analysis, and extraction occurring in milliseconds, users experience no delays. Importantly, your data remains secure and is not shared with any external LLM providers. Our SDKs are available for your preferred programming languages and frameworks. Effortlessly enrich prompts with summaries of associated past dialogues, regardless of their age. Zep not only condenses and embeds but also executes retrieval workflows across your assistant's conversational history. It swiftly and accurately classifies chat interactions while gaining insights into user intent and emotional tone. By directing pathways based on semantic relevance, it triggers specific actions and efficiently extracts critical business information from chat exchanges. This comprehensive approach enhances user engagement and satisfaction by ensuring seamless communication experiences.

Runbear empowers teams to rapidly build AI-powered agents without any coding, seamlessly integrating them into widely used communication platforms such as Slack, Teams, Discord, and HubSpot. The platform enables users to deploy specialized AI assistants connected to models like OpenAI, Claude, and Gemini, enhanced by integrations with knowledge sources including Google Drive, Notion, and Confluence to keep content updated automatically. Runbear’s flexible multi-agent management lets organizations customize AI experiences for different teams, improving productivity and collaboration across departments. Key features include automating meeting prep, generating PRDs from Slack threads, querying databases with natural language, and triggering workflow automation through Zapier—all directly from chat environments. The product is designed to simplify complex workflows by reducing repetitive tasks and providing instant, context-aware AI responses to common questions. Companies across various industries praise Runbear for its intuitive interface, seamless setup, and transformative impact on team communication and efficiency. Additionally, Runbear supports compliance with enterprise-grade security standards such as SOC2. This makes it a reliable choice for businesses looking to incorporate AI assistants while maintaining data integrity and privacy.