Contextual Doc Retrieval is a Python-based system leveraging OpenAI GPT-4o and Cohere for re-ranking and query expansion, combined with BM25 for accurate document retrieval. It parses PDFs, chunks content contextually, and enhances search precision with AI-powered contextual understanding and re-ranking.
☆49Oct 13, 2024Updated last year
Alternatives and similar repositories for contextual-doc-retrieval-opneai-reranker
Users that are interested in contextual-doc-retrieval-opneai-reranker are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs…☆49Oct 2, 2024Updated last year
- A Retrieval-Augmented Generation (RAG) system running DeepSeek R1 Distill LLama 70B model using Groq's fast inference API.☆13Jan 29, 2025Updated last year
- Automate web interactions using LLMs and Llama-Index AgentWorkflow☆16Jan 25, 2025Updated last year
- Streamlit application that helps users analyze RFP's using the latest Gemini 2.0 Flash Experimental LLM.☆19Dec 20, 2024Updated last year
- An implementation of an iterative knowledge base search agent using Agno agent framework, inspired by Ashpreet DeepKnowledge concept usin…☆15Feb 6, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A document analysis tool built with Streamlit and Microsoft MarkItDown. Extract and analyze content from multiple document formats with o…☆69Dec 19, 2024Updated last year
- RFP-Response Analyzer is a Flask web app that uses AI to analyze and compare RFP documents with their responses, providing insights, gap …