Sublime

Retrievers in LangChain are a type of component that is used to search and retrieve information from a given index stored in a vector store as a backend, such as Chroma, to index and search embeddings.

LangChain simplifies the development of sophisticated LLM applications by providing reusable components and pre-assembled chains.

Building production-ready LLM-powered applications is currently very difficult. It involves countless iterations of prompt engineering, parameter tuning, and architectures.

Agenta provides you with the tools to quickly do prompt engineering and 🧪 experiment , ⚖️ evaluate , and 🚀 deploy your LLM apps. All without imposing any restrictions on your

Zep, being one such example, provides a persistent backend to store, summarize, and search chat histories using vector embeddings and auto-token counting.