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Linq
Build search engine for texts, images and beyond In 1 hour
To build LLM apps on company data, retrieval augmented generation (RAG) is essential. With Linq API, you can build RAG not just for textual content, but also for images and tables - in an hour!
About Linq on Product Hunt
“Build search engine for texts, images and beyond In 1 hour”
Linq was submitted on Product Hunt and earned 34 upvotes and 46 comments, placing #12 on the daily leaderboard. To build LLM apps on company data, retrieval augmented generation (RAG) is essential. With Linq API, you can build RAG not just for textual content, but also for images and tables - in an hour!
Who hunted Linq?
Linq was hunted by Jacob Choi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Linq has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Linq including community comment highlights and product details, visit the product overview.

