Java version of LangChain

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

Pip-installable, embedded-like postgres server for your python app

A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.

LlamaRead PDF URL is a powerful and intelligent application designed to seamlessly read and analyze content from both PDFs and URLs. Leveraging the advanced capabilities of LLaMA3, this app transforms the way you interact with documents and web content by providing insightful and accurate answers to your queries.

PostgreSQL Primary-Replica Servers (with Pgvector Extension) on Docker

Daily Builds of Bitnami Postgres image with PGVector preinstalled

A starter application that shows data collection, embedding creation and querying, and text completion with OpenAI.

Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs

Practicing AI with Spring

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Simple syslog collection server with Embedding and LLM Capabilities

A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

A Spring AI Exploring Project[Caicai].

IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.

AI implementation using langchain4j and springAI frameworks with Java

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.