vectorsearch

There are 29 repositories under vectorsearch topic.

  • HelixDB/helix-db

    HelixDB is an open-source graph-vector database built from scratch in Rust.

    Language:Rust3.1k19360149

  • Dicklesworthstone/fast_vector_similarity

    The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.

    Language:Rust4075123

  • marqo-ai/marqo-FashionCLIP

    State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.

    Language:Python1112312

  • aws-samples/rag-with-amazon-opensearch-and-sagemaker

    Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

    Language:Python27203

  • halilergul1/QA-app

    Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !

    Language:Jupyter Notebook11130

  • memas-ai/MeMaS

    Memory Management Service, a Long Term Memory Solution for AI

    Language:Python81290

  • rssdev10/GptSearchPlugin

    Simple and pure Julia-based implementation of ChatGPT retrieval plugin logic

    Language:Julia7400

  • AnshKathpal/Documentor-pdfChatbot

    DocuMentor is a sophisticated chatbot application designed to assist users in extracting valuable information from uploaded PDF documents. Users can upload PDF files, chat with the AI chatbot to ask questions or seek information related to the document, and receive well-informed responses.

    Language:Python6100

  • couchbase-examples/hybrid-search-demo

    Hybrid Search demo on Movies Dataset using Couchbase with Native Python SDK & LangChain Vector Store integration & Streamlit

    Language:Python6407

  • d1pankarmedhi/image-search-engine

    🔎 A vector based image search engine using Visual Transformer model type.

    Language:Python6202

  • LarsWl/ElasticsearchClient.jl

    High-level ElasticSearch client for Julia

    Language:Julia6422

  • couchbase-examples/qa-bot-demo

    Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit

    Language:Python4601

  • hsm207/haystack-weaviate-docker-compose

    How to use configure haystack to use weaviate

    Language:Makefile420

  • CodeByKarthik/VectorSearch-RAG-using-LangChain-OpenAI

    The Project "Vector Search RAG" utilises advanced frameworks and language models (LangChain and OpenAI APIs) to enhance query responses by retrieving relevant documents and generating contextually accurate answers. This repo contains End-to-End implementation of RAG for training LLMs in custom data.

    Language:Python1

  • kaustav202/search-genie

    A generative AI based smart information retrieval system featuring Hybrid Contextual Search,

    Language:JavaScript1100

  • ksm26/Retrieval-Optimization-From-Tokenization-to-Vector-Quantization

    The course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance search quality, reduce memory usage, and balance performance in vector search systems.

    Language:Jupyter Notebook1101

  • musketeers-br/iris-medicopilot

    MediCopilot uses AI to assist healthcare professionals

    Language:ObjectScript1200

  • pica-labs/picachain

    ⚡️ Build quick LLM pipelines for AI applications

    Language:Python1011

  • sumit9000/Fashion-Chatbot-Backend

    This is the backend API for the Fashion Chatbot project, built using FastAPI. It processes user queries and returns intelligent fashion-related suggestions using LLMs and vector search.

    Language:Python1

  • Ibzie/Groq-Powered-Document-Chatbot

    PDF-Chat is a streamlined document intelligence tool that transforms PDFs into interactive knowledge bases. Powered by Groq's high-performance LLMs and semantic search capabilities, it enables natural conversation with your documents, extracting insights through contextual question-answering.

    Language:Python00

  • LaiLaK918/tthcm

    Tư Tưởng Hồ Chí Minh Chatbot

    Language:Python0100

  • Mannerow/llm-homework-03

    This project demonstrates using `Elasticsearch` and vector search techniques to efficiently find answers to user questions in FAQ documents by leveraging embeddings and evaluating search performance with hit rate and mean reciprocal rank (MRR).

    Language:Jupyter Notebook0100

  • Akshayredekar07/awesome-mongodb

    Awesome MongoDB tutorials, examples, and datasets for mastering NoSQL from beginner to advanced levels.

    Language:Python

  • eaintkyawthmu/azureopenai_mongodb_resume_ranking

    This Python Flask application is designed to process and rank resumes based on job descriptions. It uses Azure's Document Analysis Client for document processing, and a MongoDB database for storing job descriptions and resumes. The application also generates embeddings for the processed documents using AzureOpenAI.

    Language:Python10

  • ji-podhead/pinecone-bridged-mcp

    This repo contains a docker image with pinecone mcp and mcp-bridge. It also contains a example with sse transport usage.

  • kamalesh003/VectorSearch-with-HNSW

    VectorSearch with HNSW is a implementation of the Hierarchical Navigable Small World (HNSW) algorithm for efficient similarity search in high-dimensional vector spaces. This project demonstrates practical applications of approximate nearest neighbor search using the Fashion MNIST dataset, CIFAR-10 dataset as a case study.

    Language:Jupyter Notebook
  • sydney-rag-chatbot

    mnds18/sydney-rag-chatbot

    End-to-end RAG chatbot powered by LangChain, FAISS, OpenAI GPT-3.5, and Flask. Scrapes live Sydney Wikipedia data and answers questions in real-time

    Language:Python

  • muktajoya/SemanticSearchLangChain

    Language:Python10

  • thorve-shubham/rag_with_mongo_huggingface_node

    RAG Vector Search with MongoDB, Hugging Face and Node JS

    Language:JavaScript