Best Data Management Software for GPT-3

One Platform for Realtime Communication: A platform to build and operate real-time interactivity for web, mobile, AI/ML, IoT, and Edge computing applications Faster & Easier Deployments: SDK support for 50+ mobile, web, server, and IoT environments (PubNub & community supported) and more than 65 pre-built integrations with external and third-party APIs to give you the features you need regardless of programming language or tech stack. Scalability: The industry’s most scalable platform capable of supporting millions of concurrent users for rapid growth with low latency, high uptime, and without financial penalties.

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.

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.