lesteroliver911 / contextual-doc-retrieval-opneai-reranker
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.
☆45Updated 6 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
- An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs…☆35Updated 7 months ago
- ☆68Updated 7 months ago
- ☆81Updated 7 months ago
- Chat with PDF files with source highlights☆133Updated 5 months ago
- ☆53Updated 6 months ago
- LangGraph-GUI backend with fastapi☆52Updated last month
- ☆79Updated 5 months ago
- Generate Tools and Toolkits from any Python SDK -- no extra code required☆50Updated 6 months ago
- 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…☆69Updated 7 months ago
- An assistant for Slack built with Arcade and Langgraph. Interact with Google Calendar, Mail, Github, Search Engines, Firecrawl and more a…☆76Updated last month
- Research assistant for performing online research on a given topic, using Llamaindex Workflows and Tavily API. Inspired by GPT-Researcher☆161Updated 7 months ago
- ☆55Updated last month
- This is a repository which uses LangChain LangGraph and DuckduckGo to create a Perplexity Clone☆79Updated 6 months ago
- Implementation of Corrective RAG using LangChain and LangGraph.☆26Updated last month
- Deep Research through Multi-Agents, using GraphRAG☆67Updated 5 months ago
- ☆92Updated 7 months ago
- A bot with memory, built on LangGraph Cloud.☆115Updated 9 months ago
- ☆96Updated 3 months ago
- Named Entity Recognition using Claude Citations☆73Updated last month
- Declarative framework to build LLM-based applications☆118Updated 5 months ago
- Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through a…☆81Updated 10 months ago
- An interactive integration of yFiles for HTML with LlamaIndex to visualize the knowledge graph used for query resolution.☆48Updated last month
- ☆93Updated 5 months ago
- A MCP server connecting to managed indexes on LlamaCloud☆73Updated last month
- ☆54Updated 8 months ago
- A repository Payman + Langgraph integration examples that allow AI Agent to simply create tasks for Humans on Payman that pay them money …☆81Updated 6 months ago
- This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with use…☆50Updated 8 months ago
- This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing d…☆142Updated last year
- RAG with postgreSQL(nebius) and pgvector☆24Updated 5 months ago
- Automated agent using LangChain and Gmail API to classify and respond to incoming emails based on their content.☆12Updated 6 months ago