Topic: vectorsearch Goto Github
Some thing interesting about vectorsearch
Some thing interesting about vectorsearch
vectorsearch,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.
User: anshkathpal
Home Page: https://documentor-ai.vercel.app/
vectorsearch,Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
Organization: aws-samples
vectorsearch,Hybrid Search demo on Movies Dataset using Couchbase with Native Python SDK & LangChain Vector Store integration & Streamlit
Organization: couchbase-examples
Home Page: https://couchbase-hybrid-search-demo.streamlit.app/
vectorsearch,Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit
Organization: couchbase-examples
vectorsearch,🔎 A vector based image search engine using Visual Transformer model type.
User: d1pankarmedhi
vectorsearch,The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
User: dicklesworthstone
Home Page: https://pypi.org/project/fast-vector-similarity/
vectorsearch,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.
User: eaintkyawthmu
vectorsearch,Zep: Long-Term Memory for AI Assistants.
Organization: getzep
Home Page: https://docs.getzep.com
vectorsearch,Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !
User: halilergul1
vectorsearch,How to use configure haystack to use weaviate
User: hsm207
vectorsearch,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.
User: karthi-dstech
vectorsearch,A generative AI based smart information retrieval system featuring Hybrid Contextual Search,
User: kaustav202
vectorsearch,High-level ElasticSearch client for Julia
User: larswl
vectorsearch,CLIP-like model finetuned for the fashion domain. Up to 57% increase in core metrics vs FashionCLIP 2.0.
Organization: marqo-ai
Home Page: https://huggingface.co/Marqo
vectorsearch,Memory Management Service, a Long Term Memory Solution for AI
Organization: memas-ai
vectorsearch,MediCopilot uses AI to assist healthcare professionals
Organization: musketeers-br
vectorsearch,⚡️ Build quick LLM pipelines for AI applications
Organization: pica-labs
Home Page: https://pica-labs.github.io/picachain/
vectorsearch,Platform for building personalized AI applications
Organization: plastic-labs
Home Page: https://docs.honcho.dev
vectorsearch,Simple and pure Julia-based implementation of ChatGPT retrieval plugin logic
User: rssdev10
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