lesteroliver911 / contextual-doc-retrieval-opneai-rerankerLinks
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.
☆48Updated 9 months ago
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
Sorting:
- An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs…☆38Updated 10 months ago
- This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing d…☆146Updated last year
- ☆74Updated 10 months ago
- Chat with PDF files with source highlights☆144Updated 8 months ago
- Research assistant for performing online research on a given topic, using Llamaindex Workflows and Tavily API. Inspired by GPT-Researcher☆163Updated 10 months ago
- ☆53Updated 9 months ago
- ☆87Updated 2 months ago
- ☆120Updated 10 months ago
- LangGraph-GUI backend with fastapi☆59Updated 2 months ago
- Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.☆132Updated 2 months ago
- AI data scientist☆262Updated 7 months ago
- Declarative framework to build LLM-based applications☆122Updated 8 months ago
- An assistant for Slack built with Arcade and Langgraph. Interact with Google Calendar, Mail, Github, Search Engines, Firecrawl and more a…☆99Updated last month
- Collaborative Multi-Agent RAG with CrewAI☆65Updated last year
- ☆106Updated last year
- Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.☆96Updated 8 months ago
- Automated Data Analysis leveraging llms☆182Updated 7 months ago
- ☆83Updated 8 months ago
- ☆70Updated last year
- RAG with postgreSQL(nebius) and pgvector☆24Updated 8 months ago
- This is a repository which uses LangChain LangGraph and DuckduckGo to create a Perplexity Clone☆86Updated 10 months ago
- A tool for querying and interacting with PDF documents using AI. This application uses natural language processing to provide contextuall…☆116Updated 5 months ago
- ☆201Updated 6 months ago
- ☆122Updated 4 months ago
- This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with use…☆55Updated 11 months ago
- A bot with memory, built on LangGraph Cloud.☆130Updated last year
- Reliable RAG setup that uses Semantic Double Merging Chunking from llamaindex, Qdrant Hybrid Search, colBERT for reranking and Google Gem…☆40Updated 7 months ago
- ☆122Updated 5 months ago
- Tutorial on how to create a ReAct agent without a LLM framework☆59Updated last year
- A fun project where I use the power of AI to analyze a PDF. The AI extracts key information based on the user's instructions and selectio…☆75Updated 10 months ago