LangChain's features

LangChain's features

Ingest your own data

allowing the LLM to act and respond based on your data (codebase, document)

Autonomous agents

delegating tasks (defined on the fly) to the LLM, which will strive to complete them

Prompt templates

helping you achieve the higher possible quality of LLM's responses

Memory

providing the contest (including your current and past conversations) to the LLM

Structured outputs

for receiving responses from the LLM with a desired structure as Java POJOs

"AI Services"

for declaratively defining complex AI behavior behind a simple API

Chains

to reduce the need for extensive boilerplate code in common use-cases

Auto-moderation

to ensure that all inputs and outputs to/from the LLM are not harmful

本文标题:《LangChain's features》作者:Scar
原文链接:https://aki.cc/post/22.html
特别注明外均为原创,转载请注明。

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