JevMade Sign in
← Back to experiments

Integrations

jev-rag-retrieval

A Python library uses Jev to screen and tag document passages, decide which search results contain evidence, and check whether they can answer a question.

Source screenshot of jev-rag-retrieval
SOURCE SCREENSHOTFull screenshot ↗

What it does

Its development build supports several search stores, with Pinecone still experimental. Failed Jev stages mark results as degraded but do not all restore the original search results; injection screening is not a security boundary.

How you can use it

Your developer can borrow how this project separates helpful facts from useless text in a search app. The program asks an outside AI service called TypeSafe simple questions about each paragraph. Ordinary code then decides what text to keep before a separate AI writes the final answer.

You can test how the system sorts a few of your own documents. Have your developer check what happens if the outside connection fails during this review process. A broken connection leaves a warning mark on the search results, but it cannot restore text that was already discarded.

Keep this for later

Sign in to bookmark experiments, guides and videos, and keep notes only you can see.

Continue to sign in

We’ll bring you back to this listing.