eyaya / High-Precision-Contract-Advisor-RAGLinks
Developing a high-precision legal expert LLM application called Contract Advisor RAG. The project's goal is to create a Retrieval Augmented Generation (RAG) system for Contract Q&A, enabling users to interact with contracts by asking questions and receiving accurate, context-rich responses.
☆13Updated last year
Alternatives and similar repositories for High-Precision-Contract-Advisor-RAG
Users that are interested in High-Precision-Contract-Advisor-RAG are comparing it to the libraries listed below
Sorting:
- ☆37Updated 11 months ago
- All code related to medium articles☆17Updated last week
- A supervisor agent for open agent platform☆31Updated 3 weeks ago
- Deep Research through Multi-Agents, using GraphRAG☆75Updated 7 months ago
- Prompt Injection & Prevention techniques. Secure your AI Chatbots built using LLMs.☆13Updated last year
- this is a repository that gives the power of mixture of workflows a concept inspired by the mixture of agents.☆13Updated 10 months ago
- 101 for setting up adaptive RAG☆16Updated 9 months ago
- Perplexity Lite using Langgraph, Tavily, and GPT-4.☆14Updated last year
- Collaborative Multi-Agent RAG with CrewAI☆63Updated last year
- RAG with postgreSQL(nebius) and pgvector☆24Updated 7 months ago
- Example LangGraph flow that does "competitor analysis" on the web.☆31Updated last year
- This project presents a RAG chat app for the Speckle Developer Documentation.☆35Updated 11 months ago
- Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver, Crewai,etc☆49Updated last year
- Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.☆121Updated 3 weeks ago
- Many tutorials on LangGraph☆43Updated last year
- ☆19Updated 6 months ago
- ☆31Updated 4 months ago
- Contextual Doc Retrieval is a Python-based system leveraging OpenAI GPT-4o and Cohere for re-ranking and query expansion, combined with B…☆48Updated 8 months ago
- This repository is a combination of llama workflows and agents together which is a powerful concept.☆17Updated 10 months ago
- ☆37Updated last year
- An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs…☆37Updated 8 months ago
- Rag Chatbot React And Tyepscript base boilerplate☆33Updated last year
- Agentic RAG using Crew AI.☆29Updated last year
- ☆74Updated 9 months ago
- On-device real-time RAG App built using Jina Reader, Mediapipe, Gemma 2b IT LLM.☆14Updated last year
- Building AI Research Assistant: Multi-Agent RAG System Reading From Multiple Unstructured Sources☆22Updated 11 months ago
- This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights …☆34Updated 5 months ago
- ☆46Updated 7 months ago
- Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama☆32Updated last year
- Comprehensive metrics, insights, and visualization for Agno and Crew AI applications☆26Updated last month