An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Weaviate vector database – examples

MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents

Sentence Transformers API: An OpenAI compatible embedding API server

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

Anthropic's Contextual Retrieval implementation with visual chunk comparison. Preview context enrichment before/after embedding.

Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB

Find art with AI using Cloudflare's Vector Database Vectorize, LlaVA and LlaMA on Workers AI, and more!

VectorSearch.Tech - Blog articles , tutorials, and guides on latest search technologies.

The goal is to evaluate CVs based on the O-1A visa qualification criteria

The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.

🗃️✨ Mebox is an open-source alternative to OpenAI's file_search tool, designed to efficiently process, store, and retrieve file-based information using Supabase and open source embeddings.

An interactive AI-powered podcast co-host with voice interaction and document processing capabilities

The LLM Health Assistant is an AI-driven health consultation platform using LLM and RAG for intelligent Q&A, supporting text/voice interaction, PubMed retrieval, and user data management.

Retrieval-Augmented Generation (RAG) chatbot across four domains: Law, Health, Finance, and Technology. Curated domain-specific datasets from data sources; stored PDFs and embeddings using MongoDB and FAISS. Built a scalable RAG pipeline enabling high-precision similarity search and dynamic query responses.

LangChain Documentation Helper

Face recognition and search system

A conversational AI-powered chatbot for e-commerce platforms that provides product recommendations based on user queries. Built using Flask, LLaMA 3 70B (Groq API), and Qdrant for vector search. 🚀

example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat