An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
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Updated
May 6, 2024 - HTML
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!
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.
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
🗃️✨ 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
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.
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.
LangChain Documentation Helper
⚡🧠 Vectro+ — High-Performance Embedding Engine in Rust 🦀💾 Compress, quantize, and accelerate vector search 🚀 Boost retrieval speed, cut memory, keep semantic precision 🎯🔥
🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!
find-my-movie is a FastAPI-powered Movie Recommendation API that finds movies based on natural language Query, it generates vector embeddings for movie descriptions, and stores them in pgvector for efficient querying.
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