vectara

There are 13 repositories under vectara topic.

  • quepid

    o19s/quepid

    Improve your Elasticsearch, OpenSearch, Solr, Vectara, Algolia and Custom Search search quality.

    Language:Ruby28518435101
  • py-vectara-agentic

    vectara/py-vectara-agentic

    A python library for creating AI assistants with Vectara, using Agentic RAG

    Language:Python79101

  • vectara/search-hackernews

    Search for Hacker News, by Vectara

    Language:TypeScript35201

  • jayita13/Fact_Checked

    Vectara HHEM model to reduce Hallucination in RAG models

    Language:Jupyter Notebook3100

  • int64max/Auto-GPT

    An experimental open-source attempt to make GPT-4 fully autonomous. This fork implements Vectara as a memory backend.

    Language:Python2000

  • CsabaConsulting/Vectara

    Scripts and documents related to the Vectara RAG hacakthon

    Language:Jupyter Notebook1203

  • mrdiamonddirt/legisense-backend

    LegiSense is a LabLabAI hackathon project that combines a Node.js Express server with the Vectara API for legislative data, featuring a user-friendly Flutter Flow frontend. It provides a seamless way to access and interact with legislative information, making it an essential tool for tracking and analyzing legislation.

    Language:JavaScript110

  • vectara/vectara-index-git-docs

    Index contents from a GitHub repository to Vectara

    Language:Shell1101

  • stomanin/rag_tut

    MedMind: An AI-Powered Chatbot for Medical Information Retrieval and Summarization

    Language:Python0000

  • bsenst/vectara-streamlit

    contribution to the vectara hackathon

    Language:Python10

  • jhaayush2004/RAG-Evaluation

    Different approaches to evaluate RAG !!!

    Language:Jupyter Notebook10

  • Rishika70/Finance-RAG-Based-App

    Built an RAG-Based-App using Vectara HHEM (Hallucination Evaluaton Model) for Hackathon on lablab.ai

    Language:Python10

  • TeamTonic/Vectonic

    🌟Vectonic - Optimized App Creator And Publisher🌟 produces an optimized application and shares it privately and securely to huggingface so that junior executives can immediately produce a high performance knowledge retrieval application for enterprise.

    Language:Python101