-
Iowa State University
- Ames, IA
- forrestbao.github.io
- @forrestbao
Stars
Official Typescript SDK for the Vectara API
Jupyter notebooks with example code for Vectara
An open source framework to crawl data sources and ingest into Vectara
UI widget for adding a chatbot to your React UI in just a few lines of code
Generate a working React codebase for a range of generative and semantic search UIs
LLM-powered Conversational AI experience using Vectara
A python library for creating AI assistants with Vectara, using Agentic RAG
An open source implementation of a bot that can respond to user questions from Slack, Discord by utilizing Vectara RAG
A TypeScript utility for easily making requests/parsing responses to/from Vectara's streaming query API
Methods for controlling hallucinations for LLM
UI widget for adding semantic search to your React UI in just a few lines of code
End-to-end example of querying magazine articles, including indexing, highlighting, and UI controls
Examples of how to use the Vectara platform in several common programming languages
Sankofa is a browser extension that allows you to store pages you visit and query them using Vectara.
A library to convert python requests request object to curl command.
A Bulletproof Way to Generate Structured JSON from Language Models
An unofficial Python SDK and CLI for Vectara RAG platform
NonFactS: Nonfactual Summary Generation for Factuality Evaluation in Document Summarization
A Python module that converts a list of dictionaries to a markdown formatted table.
A collection of AWESOME things about Graph-Related LLMs.
Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".
A quick guide (especially) for trending instruction finetuning datasets