coachlou

insanely-fast-whisper

opengpts

marqo

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

genai-stack

Langchain + Docker + Neo4j + Ollama

pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

OpenAI_Agent_Swarm

HAAS = Hierarchical Autonomous Agent Swarm - "Resistance is futile!"

chat-llamaindex

rag-demystified

An LLM-powered advanced RAG pipeline built from scratch

rag-fusion

SparsePrimingRepresentations

Public repo to document some SPR stuff

vectorflow

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

CodeT

awesome-generative-information-retrieval

self-refine

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

BSHR_Loop

BSHR "Basher" Loop: Brainstorm, Search, Hypothesize, Refine

latent_space_activation

Simple repo demonstrating Latent Space Activation

LangChain-Advanced

Medical_Intake

Automated pipeline for medical intake, diagnosis, tests, etc.

weekly_arxiv

Quickly download the abstracts for arxiv papers related to a given topic and render with markdown

openai-experiments

PASTA

PASTA: Post-hoc Attention Steering for LLMs

semantic-search-openai-nextjs-sample

This repository is a sample application and guided walkthrough for a semantic search question-and-answer style interaction with custom user-uploaded documents. Typescript, NextJS, OpenAI, Langchain, Pinecone

langchain_faiss_vectorindex

FineTuningClone

STGPT

AI Assistant using Streamlit and the OpenAI Assistant API

Semantic_Embedding_Reverse_Dictionary

A reverse dictionary/thesaurus empowered by vector search

llm-plugin

A cookiecutter template for building plugins for LLM

nonfiction_drafting

private repo for nonfiction drafting

AI-DocumentQnA

Simple LLM-enabled document Q&A app built using Langchain and Streamlit

openai_embeding_sample

This notebook shows an implementation of embedings using OpenAI components.