> This page location: AI > AI App Starter Kit > Core concepts > Introduction > Full Neon documentation index: https://neon.com/docs/llms.txt > Summary: Covers resources for building AI applications with Neon Postgres, including core concepts, framework integrations, and starter applications for developing tools like chatbots and semantic search engines. # AI Starter Kit Resources for building AI applications with Neon Postgres Build AI applications and agents on Neon. This guide collects resources for AI workloads: core concepts, starter applications, framework integrations, and deployment guides. Use them to build applications like RAG chatbots, semantic search engines, or custom AI tools. > **Start building AI apps with Neon** > > Sign up for Neon Postgres and jumpstart your AI application with our starter apps and resources. > > [Sign Up](https://console.neon.tech/signup) ## Getting started Learn the fundamentals of building AI applications with Neon: - [AI concepts](https://neon.com/docs/ai/ai-concepts): Learn the fundamentals of embeddings and vector search for AI applications - [pgvector extension](https://neon.com/docs/extensions/pgvector): Get started with pgvector for storing and querying vector embeddings ## AI frameworks and integrations Build AI applications faster with these popular frameworks, tools, and services: - [LangChain](https://neon.com/docs/ai/langchain): Create AI applications using LangChain with OpenAI and Neon - [LlamaIndex](https://neon.com/docs/ai/llamaindex): Build RAG applications using LlamaIndex with OpenAI and Neon - [Semantic Kernel](https://neon.com/docs/ai/semantic-kernel): Develop AI applications using Semantic Kernel with Azure OpenAI - [Inngest](https://neon.com/docs/ai/inngest): Build reliable AI workflows with Inngest and Neon - [app.build](https://neon.com/docs/ai/ai-app-build): Generate and deploy web applications using the open-source app.build agent ## Starter applications Hackable, fully-featured, pre-built starter apps to get you up and running: - [AI chatbot (OpenAI + LllamIndex)](https://github.com/neondatabase/examples/tree/main/ai/llamaindex/chatbot-nextjs): A Next.js AI chatbot starter app built with OpenAI and LlamaIndex - [AI chatbot (OpenAI + LangChain)](https://github.com/neondatabase/examples/tree/main/ai/langchain/chatbot-nextjs): A Next.js AI chatbot starter app built with OpenAI and LangChain - [RAG chatbot (OpenAI + LlamaIndex)](https://github.com/neondatabase/examples/tree/main/ai/llamaindex/rag-nextjs): A Next.js RAG chatbot starter app built with OpenAI and LlamaIndex - [RAG chatbot (OpenAI + LangChain)](https://github.com/neondatabase/examples/tree/main/ai/langchain/rag-nextjs): A Next.js RAG chatbot starter app built with OpenAI and LangChain - [Semantic search (OpenAI + LlamaIndex)](https://github.com/neondatabase/examples/tree/main/ai/llamaindex/semantic-search-nextjs): A Next.js Semantic Search chatbot starter app built with OpenAI and LlamaIndex - [Semantic search (OpenAI + LangChain)](https://github.com/neondatabase/examples/tree/main/ai/langchain/semantic-search-nextjs): A Next.js Semantic Search chatbot starter app built with OpenAI and LangChain - [Hybrid search (OpenAI)](https://github.com/neondatabase/examples/tree/main/ai/hybrid-search-nextjs): A Next.js Hybrid Search starter app built with OpenAI - [Reverse image search (OpenAI + LlamaIndex)](https://github.com/neondatabase/examples/tree/main/ai/llamaindex/reverse-image-search-nextjs): A Next.js Reverse Image Search Engine starter app built with OpenAI and LlamaIndex - [Chat with PDF (OpenAI + LlamaIndex)](https://github.com/neondatabase/examples/tree/main/ai/llamaindex/chat-with-pdf-nextjs): A Next.js Chat with PDF chatbot starter app built with OpenAI and LlamaIndex - [Chat with PDF (OpenAI + LangChain)](https://github.com/neondatabase/examples/tree/main/ai/langchain/chat-with-pdf-nextjs): A Next.js Chat with PDF chatbot starter app built with OpenAI and LangChain ## Scale your AI application - [Scale with Neon](https://neon.com/docs/ai/ai-scale-with-neon): Learn how to scale your AI application with Autoscaling and Read Replicas - [Optimize vector search](https://neon.com/docs/ai/ai-vector-search-optimization): Best practices for optimizing vector search performance ## Featured examples Real-world AI applications built with Neon that you can reference as code examples or inspiration. **Tip: Built something cool?** Share your AI app on our [#showcase](https://discord.gg/neon) channel on Discord. - [AI vector database per tenant](https://github.com/neondatabase/ai-vector-db-per-tenant): Deploy an AI vector database per-tenant architecture with Neon - [Guide: Build a RAG chatbot](https://neon.com/guides/chatbot-astro-postgres-llamaindex): Build a RAG chatbot in an Astro application with LlamaIndex and Postgres - [Guide: Build a Reverse Image Search Engine](https://neon.com/guides/llamaindex-postgres-search-images): Using LlamaIndex with Postgres to Build your own Reverse Image Search Engine - [Ask Neon Chatbot](https://github.com/neondatabase/ask-neon): An Ask Neon AI-powered chatbot built with pgvector - [Vercel Postgres pgvector Starter](https://vercel.com/templates/next.js/postgres-pgvector): Enable vector similarity search with Vercel Postgres powered by Neon - [YCombinator Semantic Search App](https://github.com/neondatabase/yc-idea-matcher): YCombinator semantic search application - [Web-based AI SQL Playground](https://github.com/neondatabase/postgres-ai-playground): An AI-enabled SQL playground application for natural language queries - [Jupyter Notebook for vector search with Neon](https://github.com/neondatabase/neon-vector-search-openai-notebooks): Jupyter Notebook for vector search with Neon, pgvector, and OpenAI - [Image search with Neon and Vertex AI](https://github.com/ItzCrazyKns/Neon-Image-Search): Community: An image search app built with Neon and Vertex AI - [Text-to-SQL conversion with Mistral + LangChain](https://github.com/mistralai/cookbook/blob/main/third_party/Neon/neon_text_to_sql.ipynb): A Text-to-SQL conversion app built with Mistral AI, Neon, and LangChain - [Postgres GPT Expert](https://neon.com/blog/openais-gpt-store-is-live-create-and-publish-a-custom-postgres-gpt-expert): Blog + repo: Create and publish a custom Postgres GPT Expert using OpenAI's GPT ## Vector search tools and notebooks Optimize your vector search implementation and experiment with different approaches: - [Vector search optimization](https://neon.com/docs/ai/ai-vector-search-optimization): Best practices for optimizing vector search performance - [Vector search notebooks](https://github.com/neondatabase/neon-vector-search-openai-notebooks): Interactive notebooks for vector search with OpenAI - [Google Colab guide](https://neon.com/docs/ai/ai-google-colab): Use Neon with Google Colab for ML experiments - [Azure Data Studio Notebooks](https://neon.com/docs/ai/ai-azure-notebooks): A cloud-based Jupyter notebook service integrated with Azure Data Studio --- ## Related docs (Core concepts) - [Embeddings](https://neon.com/docs/ai/ai-concepts) - [Pgvector](https://neon.com/docs/extensions/pgvector)