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We've created a comprehensive Retrieval Harness for modern agentic retrieval in 2026. The harness provides a persistent data pipeline that can connect to a data source, index and update a large knowledge base, and expose a broad set of tools akin to filesystem operations (semantic/keyword search, regex grep, file... show more

Jerry Liu

84,698 subscribers

57,194 Aufrufe • vor 3 Monaten •via X (Twitter)

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24 Kommentare

Profilbild von Adnan Qidwai

Adnan Qidwaivor 3 Monaten

btw the GitHub doesn't seem public yet

Profilbild von Jerry Liu

Jerry Liuvor 3 Monaten

sorry about the above - just made it public!

Profilbild von Ira Rothken

Ira Rothkenvor 3 Monaten

This looks very promising for AI legal apps and ESI analysis.

Profilbild von Kevin Madura

Kevin Maduravor 3 Monaten

Have you tested it on OBLIQ-Bench?

Profilbild von Pinkman

Pinkmanvor 3 Monaten

hybrid search across the whole index with read, grep, and find is basically giving an agent the same tools a developer would use on a local filesystem

Profilbild von Eugene Yaroslavtsev

Eugene Yaroslavtsevvor 3 Monaten

@jerryjliu0 i haven't been able to find a bug bounty / security program link on gh/llama's official site - got a link?

Profilbild von AW

AWvor 3 Monaten

jerry,dropped you a DM about a paid collab

Profilbild von KYD 玩 ai

KYD 玩 aivor 3 Monaten

Treating retrieval as a persistent tool surface, with search, grep, file search, and read operations, feels much closer to how agents actually investigate large knowledge bases than one-shot RAG calls.

Profilbild von Dmytro Palaniichuk 🇺🇦

Dmytro Palaniichuk 🇺🇦vor 3 Monaten

The filesystem metaphor is the right abstraction. Moving from "query the index" to "navigate the knowledge base" made agents far more predictable — they scope reads before writing, like a good engineer. Partial-update primitives, or is re-index always full corpus?

Profilbild von Christian Müller

Christian Müllervor 3 Monaten

Persistent pipeline plus a bounded, filesystem-like tool surface is a strong combo here. The reliability jump comes when each tool call returns a typed result the next step can rely on, not free-form text the agent has to re-parse every run.

Profilbild von srijanarya

srijanaryavor 3 Monaten

The filesystem-style tools were never my bottleneck. Index freshness was. "Index and update a large KB" buries the ugly part: an agent retrieving mid-reindex and answering off a stale chunk. Does the harness guarantee read-during-update consistency?

Profilbild von Sean Kerr — AI, minus the hype

Sean Kerr — AI, minus the hypevor 3 Monaten

The persistent pipeline is the right call. Most "agentic retrieval" pain isn't recall — it's the agent re-indexing the world every run because nothing survives between calls. The harder half: teaching it when it has enough to stop retrieving.

Profilbild von Nahid

Nahidvor 3 Monaten

persistent data pipeline opens up new possibilities

Profilbild von Shashank Nidhi

Shashank Nidhivor 3 Monaten

Your harness builds a fresh index, but it never flags when a source document drifts. Staleness is a harder problem than retrieval. A vector store can answer a query, yet it has no idea the underlying truth moved two weeks ago. If you attach a provenance check on each update, the agent can decide whether to trust the result.

Profilbild von Nhost

Nhostvor 3 Monaten

The quiet shift here is that retrieval starts looking more like an agent exploring a filesystem: search, grep, read, follow the thread. That's much closer to how people actually research a case

Profilbild von Oleksandr

Oleksandrvor 3 Monaten

agentic retrieval feels like giving an agent a local filesystem watching legal agents actually crawl PDFs is next‑level

Profilbild von Anshuman Singh

Anshuman Singhvor 3 Monaten

The persistent-pipeline framing matches what we hit with travel data: static snapshots rot fast, so continuous dedup plus per-row source tags are what keep agent citations honest. Curious how the harness handles provenance when two indexed sources conflict, do you keep both with lineage or resolve to one?

Profilbild von Jabir | AI Systems

Jabir | AI Systemsvor 3 Monaten

👍🏻

Profilbild von Sebastian Buzdugan

Sebastian Buzduganvor 3 Monaten

index v2 will live or die on permission drift, not tool breadth

Profilbild von Pawzard

Pawzardvor 3 Monaten

agents out here getting a whole filing cabinet meanwhile i still cant find my keys 😭

Profilbild von The Guy With A Hat

The Guy With A Hatvor 3 Monaten

Another OCR. Sweet, is there a paper attached?

Profilbild von egesea

egeseavor 3 Monaten

Retrieval is becoming less about finding information. It's becoming the workspace where agents think and act.

Profilbild von Makaroni

Makaronivor 3 Monaten

curious how it handles drift tho like the knowledge base updates mid-task and the agent already cached stale context

Profilbild von Brosko

Broskovor 3 Monaten

ngl 'filesystem operations but for vibes' is actually the unlock agents been fumbling retrieval tasks for too long fr 🔥

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