**What is PhiData** [[PhiData]] is a technology company specializing in building tools and platforms that streamline how developers and researchers work with large language models (LLMs). Their focus is on: - **Accessibility:** Making it easier for anyone to access, experiment with, and deploy the latest LLM technology. - **Memory & Knowledge:** Empowering LLMs with persistent memory and the ability to seamlessly draw on stored knowledge bases. - **Tooling:** Providing tools that enhance LLM functionality, including the ability to take actions in the real world (e.g., search the web, send emails, call APIs). **Key Products & Features** - **PhiData App Store:** A marketplace where developers can share and find pre-built AI assistants (similar to the idea of app stores) powered by LLMs. These assistants come equipped with memory, knowledge, and can be easily customized. - **PhiData SDK:** A software development kit that makes it simple to integrate PhiData's capabilities into your own applications, including tools for: - **Storing Chat History:** Letting LLMs maintain long-term conversation memory. - **Vector Search:** Enabling LLMs to easily search through and retrieve relevant information from large knowledge bases. - **Action Flows:** Tools to let LLMs execute specific real-world actions. **Why Companies and Individuals Choose PhiData** - **Accelerated Development:** PhiData can dramatically reduce the time and technical expertise needed to create powerful AI assistants. - **Cost Savings:** Using pre-built solutions and their streamlined tools saves on internal development costs. - **Cutting-Edge Features:** The company consistently adds new tools and LLMs to their platform, allowing users to easily leverage the latest advancements in AI. **Where to Learn More** - **PhiData Website:** [https://www.phidata.com/](https://www.phidata.com/) - **PhiData GitHub:** [https://github.com/phidatahq](https://github.com/phidatahq) - **Relevant Blog Posts and Documentation** # References ```dataview Table title as Title, authors as Authors where contains(subject, "PhiData") sort title, authors, modified, desc ```