Building blocks for rapid development of GenAI applications
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Updated
Nov 12, 2025 - Python
Building blocks for rapid development of GenAI applications
📄 🤖 AI for medical and scientific papers
🥥 Coco AI App - Search, Connect, Collaborate, Personal AI Search and Assistant, all in one space.
This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
COVID-19 Open Research Dataset (CORD-19) Analysis
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
A JavaScript library that brings vector search and RAG to your browser!
Search through all your personal data efficiently like web search.
This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.
Claude Skills for connecting Claude.ai to local Weaviate vector databases - manage collections, ingest data, and query with RAG
Finding all pairs of similar documents time- and memory-efficiently
Database Freedom Platform - Mathematical search optimization for whatever database you already have. 27,000x faster than vector databases with SMT-powered search across 8+ database types. One-time 9-2999 vs 00-500/month recurring.
COVID-19 comorbidities analysis platform based on Natural Language Processing(NLP)
BM25 search implemented in PL/pgSQL
Search anything, instantly
Given a set of PDFs and the query, the most relevant pdf can be found with the help of TF-IDF. The code has not used any library to implement TF-IDF
This module aims to make documents searchable for customers in Magento 2.
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