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LangChain4j
LangChain4j is a Java library that provides a unified API for integrating LLMs and vector stores into applications running on the Java Virtual Machine.
LangChain4j is an open-source library designed to connect Java applications with Large Language Models and vector databases. It provides a unified API to access various commercial and open-source models, enabling the development of chatbots and AI assistants. The library offers specific integrations for frameworks like Quarkus, Spring Boot, and Helidon. It supports two-way interaction, allowing Java code to invoke LLMs and LLMs to call Java functions. Developers use it for prompt templating, memory management, output parsing, and implementing patterns such as Agents and Retrieval Augmented Generation.
LangChain4j at a glance
- Best for: Software engineer
- Runs on: open source
- Pricing: Free
- Released: June 2023
- Category: AI coding tool
- Website: docs.langchain4j.dev
Key features
- Unified API for major LLMs and vector stores
- Integration support for Quarkus, Spring Boot, and Helidon
- Two-way interaction between Java code and LLMs
- Tools for prompt templating and output parsing
- Chat memory management
- High-level support for Agents and RAG patterns
Use it for
- Building AI-powered chatbots
- Creating virtual assistants
- Implementing Retrieval Augmented Generation (RAG) pipelines
- Developing LLM-based agents with tool access
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- WebLLM — Runs high-performance language models directly inside web browsers.
- LMQL — It enables modularized, constraint-based prompting with portable code.
- Chainlit — It allows developers to build chat interfaces with minimal Python code.
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- MTPLX — It runs local models twice as fast via native MTP speculative decoding.
- LMDeploy — Accelerates inference with high-performance engines and quantization tools.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
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