Detection as well as identification of faces

Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT

Flask API for generating text embeddings using OpenAI or sentence_transformers

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.

Use Cohere and OpenSearch to analyze customer feedback in an MLOps pipeline

SSAT Analogy Solver: Test Vector Embedding Against Web Scrapped Questions

Know Your Docs: Upload your documents and get instant answers to any questions related to them with this document knowledge platform

Seamlessly interact with PDF, CSV, Website and Handwritten Notes

AI Chatbot with Knowledge Base embeddings (prototype)

This repository demonstrates a workflow that integrates LangChain with a vector store (Pinecone) to enable semantic search and question answering using large language models (LLMs).

Vector embeddings generation for a csv file, storing embeddings in the vector database and query the csv file using openai language model

A simple web application to generate vector embeddings for PDF document, store them in a vector database (Pinecone), and enable semantic search and information retrieval using OpenAI's language models.

Find Python Packages on PyPI with the help of vector embeddings

Experimenting with Wagtail vector search (and possibly chat) by creating a blog

ContextBridge-Semantic-Internal-Link-Tool is an advanced Python script designed to enhance website structure and user experience by identifying and suggesting intelligent internal linking opportunities.

The SEO Content Analyzer is a sophisticated Python script designed to perform in-depth semantic analysis of content for SEO purposes.