developersdigest / Building-A-Chatbot-UI-with-Langchain-and-Upstash-Redis-in-Next-js
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Building-A-Chatbot-UI-with-Langchain-and-Upstash-Redis-in-Next-js
- ☆13Updated last year
- ☆8Updated 10 months ago
- Access your Ollama inference server running on your computer from anywhere. Set up with NextJS + Langchain JS LCEL + Ngrok☆25Updated 9 months ago
- ☆26Updated 10 months ago
- A tutorial about cloning gosameday.com☆28Updated 9 months ago
- LLM Siri with OpenAI, Perplexity, Ollama, Llama2, Mistral, Mixtral & Langchain☆56Updated 10 months ago
- developersdigest / Groq-API-Quick-Guide-with-Examples-Groq-SDK-Langchain-LlamaIndex-OpenAI-SDK-VercelGroq API: Quick Guide with Examples Groq SDK, Langchain, LlamaIndex, OpenAI SDK, Vercel☆38Updated 8 months ago
- A SaaS Startup using Generative AI. This is a code bug fixer SaaS built using Azure OpenAI, Stripe, SQLite, and web technologies.☆15Updated last year
- ☆11Updated last year
- ☆11Updated 9 months ago
- The OpenAI Function Calling Toolkit is a powerful tool that simplifies and organizes the process of invoking OpenAI functions in your Nod…☆17Updated last year
- OpenAI Web Search RAG LLM API with BUN.js☆22Updated last year
- Minimal example of using the Superagent.sh SDK with NextJS☆44Updated last year
- ☆16Updated 10 months ago
- A quick Crew AI tutorial☆23Updated 6 months ago
- ☆26Updated 3 months ago
- Full-stack TypeScript app for RAG of arXiv papers.☆87Updated 10 months ago
- ☆40Updated last year
- ☆49Updated last year
- Build a simple generative AI app with LangChain.js, Replicate, OpenAI, and Convex☆18Updated last year
- ☆14Updated 5 months ago
- A Chat App built with embedchain and streamlit☆42Updated last year
- ☆10Updated last year
- ☆41Updated 11 months ago
- ☆52Updated 8 months ago
- Python code which creates a semantic search bot over any available corpus☆17Updated last year
- ☆22Updated 10 months ago
- ☆21Updated 5 months ago
- ☆20Updated 3 months ago
- This Repo focuses on defending against 'adversarial prompts,' detecting and attempting to mitigate objectionable content in real time.☆11Updated last year