local-first semantic code search engine
Find Python Packages on PyPI with the help of vector embeddings
Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT
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.
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
Flask API for generating text embeddings using OpenAI or sentence_transformers
Learning semantic embeddings from OSM data: A Pytorch implementation of the loc2vec general method outlined in: https://sentiance.com/loc2vec-learning-location-embeddings-w-triplet-loss-networks.
Nicolay is a digital history experiment that uses artificial intelligence to explore the speeches of Abraham Lincoln.
A tool for performing semantic search within pdf documents leveraging sentence transformers.
The SEO Content Analyzer is a sophisticated Python script designed to perform in-depth semantic analysis of content for SEO purposes.
Know Your Docs: Upload your documents and get instant answers to any questions related to them with this document knowledge platform
Database system that combines structured data retrieval through inverted indexes with unstructured data (images, audio) search using multidimensional vector embeddings, all within a unified platform.
A comprehensive RAG FastAPI service that handles document uploads and retrievals, built with Python. Uses PyMuPDF for document processing, turbopuffer for vector storage, OpenAI for models, and cohere for reranking.
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.
Insta-Motion is an Sentiment Analyzer that Analyses Instagram Posts Insights!
A context-aware Discord bot with semantic search and conversational memory. Uses Pixeltable + OpenAI for human-like responses
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).
AI Chatbot with Knowledge Base embeddings (prototype)
Use Cohere and OpenSearch to analyze customer feedback in an MLOps pipeline
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