Java version of LangChain

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

Using tools like selenium and other scrapping libraries, as well as a Vector Data Base PGVector and docker, I will create an ETL that can be used once a week to populate this vector database with the releases of the week.

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

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 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.

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

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

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

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

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

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

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

VLib is a digital library platform targeting college library systems that utilises a vector database for discovering required resources and thereby making information accessible to all users irrespective of their knowledge level. It overcomes the incapability of present systems to handle descriptive queries thereby limiting information access.

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

Ask questions to a PDF file using AI and pgvector

Simple syslog collection server with Embedding and LLM Capabilities

Batch convert video to text using openai's whisper or the local coreML via whisper.cpp on your MacBook