Local Indexing to reduce tool calling and token usage
Developers are introducing a method called local indexing, which stores relevant data on the client side to answer queries without repeatedly invoking external tools. By keeping a searchable index locally, language models can retrieve information directly, cutting down the number of API calls and the amount of token data processed. The approach aims to improve efficiency and lower costs for AI applications.