legaltextai's repositories
law3027-advanced-legal-analytics
📚 Materials for Advanced Legal Analytics (LAW3027) @ Maastricht University.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ai-engineer-roadmap
A roadmap describing the required skills, learning resources and sample tools to become an AI Engineer
AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
crewAI-quickstart
Simplified and tested examples of CrewAI implementations
memary
Longterm Memory for Autonomous Agents.
novel
Notion-style WYSIWYG editor with AI-powered autocompletion.
Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
phidata
Add memory, knowledge and tools to LLMs
philip-the-filereader
Philip has access to his own codebase
Scrapegraph-ai
Python scraper based on AI
surya
OCR, layout analysis, reading order, line detection in 90+ languages
vecs
Postgres/pgvector Python Client
crews-control
Crews Control is an abstraction layer on top of crewAI, designed to facilitate the creation and execution of AI-driven projects without writing code. By defining an execution.yaml file, users can orchestrate AI crews to accomplish complex tasks using predefined or custom tools.
dify-tool-LongTermMemory
a Dify tool for storing and retrieving long-term-memory, using Dify built-in Knowledge dataset for storing memories, each user has a standalone long-term-memory space
indexify
A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
instructor
structured outputs for llms
LLM-Agora
LLM Agora, debating between open-source LLMs to refine the answers
llm_multiagent_debate
Code for Improving Factuality and Reasoning in Language Models through Multiagent Debate
pdftochat
Chat with your PDFs with AI
ragapp
The easiest way to use Agentic RAG in any enterprise
ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.