RAG With Amazon Bedrock And Pgvector
aws-samples
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
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Results: 13
aws-samples
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
andreiramani
pgvector - a PostgreSQL extension (native compiled in Microsoft Windows environment)
Snailclimb
基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis,实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目,学习门槛低。
juanjuandog
AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.
haoyiyin
Open-source AI customer support platform — RAG knowledge base, multi-provider LLM agents, embeddable chat widget. FastAPI + Next.js + pgvector.
QuivrHQ
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, G…
paulpierre
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, teleg…
topoteretes
Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing da…
supabase
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: cre…
supabase-community
Production-ready MVP for securely chatting with your documents using pgvector
yanhua1010
A Java backend engineer learning AI full-stack in public — Python · FastAPI · RAG · pgvector · Next.js
notadev-iamaura
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Cla…
qdrant
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I mi…