Java version of LangChain
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Updated
Jul 16, 2024 - Java
Java version of LangChain
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
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
Stock ARA: Stock AI Research Assistant, Inha Univ. Capstone Design in ICT
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.
This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.
PostgreSQL with many extentions installed
Build an AI-powered chatbot that is able to access external data to provide the most accurate answer
A comparative benchmark of pgvector and OpenSearch clusters for vector comparisons.
Extensible API and framework to build your Retrieval Augmented Generation (RAG) and Information Extraction (IE) applications with LLMs
Face recognition with ONNX Runtime, YOLOX, InsightFace, PostgreSQL, pgvector, and FastAPI.
Examples of vector DB indexing and query with various vector databases.
AI implementation using langchain4j and springAI frameworks with Java
Bite-sized RAG Projects on AWS
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
Prisma extension to support PGVector
Add a description, image, and links to the pgvector topic page so that developers can more easily learn about it.
To associate your repository with the pgvector topic, visit your repo's landing page and select "manage topics."