Best Data Management Software for GPT-4

Browser Use is a Python open-source library that allows AI agents to interact with web browsers seamlessly. Combining advanced AI abilities with robust browser automation, AI agents can perform tasks like applying for jobs, visiting hyperlinks, extracting information, or answering messages on platforms such as WhatsApp. The library supports multiple large-language models, such as GPT-4, Claude 3 and Llama 2. This simplifies complex web operations with a simple interface. The library's key features include visual recognition and HTML structure extraction to facilitate comprehensive web interactions, automatic multi-tab handling for complex workflows, tracking elements by extracting XPaths from clicked elements to repeat LLM actions exactly, as well as the ability to add customized actions such saving to files, database operation, notifications, or handling human input. Browser Use incorporates intelligent error-handling and automatic recovery to create robust automation workflows.

BuildShip is an easy-to-use visual backend builder. It lets you create APIs, AI workflows and cloud jobs. Connect to any database, tool or AI model to create complete logic flows. Use prebuilt logic nodes or let AI create them for you. BuildShip combines the power of low-code extensibility with the ease of nocode to give you a scalable and fast way to build your backend. BuildShip supports powerful use-cases such as: Collect payments and trigger Stripe RevenueCat, Lemon Squeezy, for subscription workflows. Trigger AI workflows to build AI apps' rearend. Create APIs for processing data and CRUD ops in database. Send form submission data into third party tools.

Use a search intent database of over 100,000,000 keywords and competitive insights to improve content relevance and engagement. Use actionable intelligence from more than 300,000 top merchants to gain a competitive edge in SEO and data-driven strategies. Forget the traditional SEO process that involves 20 steps. We'll take care of everything else. Check your website in detail, covering 90% of the most common SEO issues. The average SEO score is 30% higher than the industry standard, allowing you to stay ahead of the curve. The system updates hourly the core keyword rankings. Stay ahead of the competition by analyzing their ranking strategies.

Weaviate is an open source vector database. It allows you to store vector embeddings and data objects from your favorite ML models, and scale seamlessly into billions upon billions of data objects. You can index billions upon billions of data objects, whether you use the vectorization module or your own vectors. Combining multiple search methods, such as vector search and keyword-based search, can create state-of-the art search experiences. To improve your search results, pipe them through LLM models such as GPT-3 to create next generation search experiences. Weaviate's next generation vector database can be used to power many innovative apps. You can perform a lightning-fast, pure vector similarity search on raw vectors and data objects. Combining keyword-based and vector search techniques will yield state-of the-art results. You can combine any generative model with your data to do Q&A, for example, over your dataset.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

We used to spend a lot of time manually analyzing qualitative data. We can now find the needle in a haystack with their AI. Go beyond sentiment analysis by receiving a weekly report that lists the most important compliments, complaints, questions, and requests sorted according to volume and urgency. Each theme tracks the changes over time, and includes a summary, urgency scores, product subthemes, user profile, and more. Use Viable for analysis of sales call transcripts and customer support tickets. Also, use it to conduct market research, employee surveys and analyze other data. No matter how big or small your company is, our platform offers unlimited seats and integrations. Start with 500 datapoints. Each section of the report includes information on the people who are discussing that topic. Our AI uses customer data and traits to run a true analysis, making recommendations based on NPS scores, customer levels, regions, and more.

GPT Parser revolutionizes data extraction. Extract structured data from documents, PDFs and emails. Export the data in real time to any app. Extract signatures, dates, contact information and other key details from emails and texts written by humans. Digitize handwritten lists, notes, and other data to create organized and actionable information. Capture invoices, receipts and purchase orders to capture information such as amounts, dates, ordered products, and vendor details. Contracts can be analyzed to extract key data, such as parties involved, terms, and other critical information. This simplifies contract management. Easily extract important details from CVs and Resumes, such as names, contact info, and work history. Order processing can be streamlined by extracting the order numbers, items and delivery details directly from confirmation documents.

Write your prompt using natural language. Mention the tables you need, and then generate a query using the AI model of choice. Add as many connections you want. Autocomplete SQL queries to speed your workflow. We do not save your queries, schemas, or credentials. We only use data that you provide us to generate SQL queries. Download your results as CSV. View your results as graphs and charts. Our free plan allows you to experience the power of AI-powered SQL querying. AI can help you quickly generate complex SQL queries. SQLPilot, your AI-first SQL query generator, generates queries with all the context that you need.

Connect your data sources and configure some data views. SQL scripts, configure a GPT Wizard and create a customized GPT. Share it with your clients, employees or users. Expose specific data (using SQL), to train GPT and then chat with it using natural language. Data insights have never been easier. Follow simple steps and DataLang will do the heavy lifting. Configure your connection string, and give it a unique name. Use SQL to train GPT using your own data rows. Select the data sources you want to use to train GPT. Then, leverage GPT to communicate with your data in real-time. Create custom GPT assistants to chat with data. Configure a GPT and share it with users or customers. Your connection string credentials will be encrypted and decrypted only when needed for data operations. We are committed to protecting your privacy and security. You can ask DataLang any question that you would ask to a data analyst.

There are many e-mails you receive daily, but only a few that need your immediate attention. The email classifier below will help you keep an organized inbox. We summarize customer complaints and notify #customersupport on Slack. #customer-relation is for delayed orders. You want to be informed about what happened after a customer call with your support representative. Instead of listening to the entire call, create a Waveline flow which summarizes the key points. Many people have writer's block when they write text. Waveline allows you to quickly build an internal tool that automatically collects information from LinkedIn and Google searches about the recipient to create a highly personalized draft. Unstructured data can be repackaged into a structured format. Waveline uses LLMs for extracting information from text, images and other sources.