Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

bug fix to hacker guide #459

Merged
merged 2 commits into from
Mar 12, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion technologies/vectara/index.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ title: "Vectara"
description: "RAG-as-a-service API-driven generative AI platform."
---

# Vectara: The Future of Search
# Vectara: The Future of GenAI

Vectara is the trusted GenAI platform.
It's designed to make it easy for you to build and deploy GenAI applications that can generate text-based answers using your particular data
Expand Down
6 changes: 2 additions & 4 deletions tutorials/en/vectara-hackathon-guide.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@ To create API Keys - follow this [guide](https://docs.vectara.com/docs/common-us
- HHEM stands for the “Hughes Hallucination Evaluation Model” and is an open source model created by Vectara, which can evaluate the likelihood a foundation model will hallucinate.
It was named for [Simon Hughes](https://diginomica.com/final-thoughts-memory-simon-mark-hughes-hallucination-research-pioneer).
- Model card: https://huggingface.co/vectara/hallucination_evaluation_model
- Blog post: https://vectara.com/blog/cut-the-bull-detecting-hallucinations-in-large-language-models/
- Blog: https://vectara.com/blog/cut-the-bull-detecting-hallucinations-in-large-language-models/
- Leaderboard: https://huggingface.co/spaces/vectara/leaderboard

##
Expand All @@ -88,9 +88,7 @@ It was named for [Simon Hughes](https://diginomica.com/final-thoughts-memory-sim
|| - [React-search](https://github.com/vectara/react-search) is a React package that allows you to integrate Vectara semantic search in any React app with just a few lines of code.|
|| - [React-chatbot](https://github.com/vectara/react-chatbot) is a React package that allows you to integrate Vectara Chat in any React app with just a few lines of code.|
|| - [Create-UI](https://github.com/vectara/react-chatbot) is a fast way to generate a Vectara-powered sample codebase for a range of user interfaces.|

| Sample applications | We have quite a few "sample applications" hackers can take a look at https://vectara.com/demos/.
Additionally, we published some sample code in these [jupyter notebooks](https://github.com/vectara/example-notebooks).|
| Sample applications | We have quite a few "sample applications" hackers can take a look at https://vectara.com/demos/. Additionally, we published some sample code in these [jupyter notebooks](https://github.com/vectara/example-notebooks).|
| Blog posts | [A reference architecture for RAG](https://vectara.com/a-reference-architecture-for-grounded-generation/)|
|| [What is vector search?](https://vectara.com/vector-search-what-is-vector-search-and-how-does-it-work/) |
|| [RAG done right: chunking](https://vectara.com/grounded-generation-done-right-chunking/) |
Expand Down
Loading