Stars
Examples of how to use the Vectara platform in several common programming languages
End-to-end example of querying magazine articles, including indexing, highlighting, and UI controls
UI widget for adding semantic search to your React UI in just a few lines of code
Methods for controlling hallucinations for LLM
A TypeScript utility for easily making requests/parsing responses to/from Vectara's streaming query API
An open source implementation of a bot that can respond to user questions from Slack, Discord by utilizing Vectara RAG
A python library for creating AI assistants with Vectara, using Agentic RAG
LLM-powered Conversational AI experience using Vectara
Generate a working React codebase for a range of generative and semantic search UIs
UI widget for adding a chatbot to your React UI in just a few lines of code
An open source framework to crawl data sources and ingest into Vectara
Jupyter notebooks with example code for Vectara
Official Typescript SDK for the Vectara API
multi-task and multi-track music transcription for everyone
Building web apps without manually creating widgets
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
Too many LLM/GenAI API tokens/keys to manage? Here is one master key.
Sankofa is a browser extension that allows you to store pages you visit and query them using Vectara.
List of papers on hallucination detection in LLMs.
An unofficial Python SDK and CLI for Vectara RAG platform
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
Factual consistency checking model for abstractive summaries (NAACL-22 Findings)