AgentSearch – An LLM-First Search RAG Client and Engine
AgentSearch is an LLM (Large Language Model) first search platform created by Owen Colegrove. AgentSearch allows users to query a large language model using natural language, making it easier for developers to find answers to questions without needing to know the exact syntax or details of the language model.
The platform works by querying the LLM using natural language and returning the most relevant results. These results can be filtered down further by adding additional keywords, such as “search” or “filter”, to narrow down the results even more. The platform also provides features that enable users to save their searches and share them with others, allowing for collaboration on large projects.
It is designed to make it easier for developers to quickly find information within a large language model, which can be difficult due to the complexity and size of the data. This can save developers time in the long run as they do not have to spend time learning the exact syntax and details of the language model. Additionally, the platform allows for collaboration between teams, which can lead to faster development cycles.
Overall, AgentSearch is a great tool for developers who need to quickly search through a large language model. It makes finding the right information quick and easy, while also providing features that allow for collaboration and saving of searches. This can help developers create better applications while saving them time in the process.
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