LlamaIndex Ships Retrieval Harness For Agent Semantic Search And Grep

Original post

Semantic search alone doesn't cut it. Neither does brute-force grep. Agents need both.

Today we're shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️

Grep a file, list what's in an index, read past a chunk boundary, run hybrid search with reranking — all as native agent tools.

Now in beta across all paid tiers. Full breakdown in the blog 👇

Learn More: https://www.llamaindex.ai/blog/announcing-retrieval-harness?utm_medium=socials&utm_source=twitter&utm_campaign=2026-jun-

11:05 AM · Jun 29, 2026 · 5K Views

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Jerry Liu@jerryjliu0

We're excited to introduce the Retrieval Harness in LlamaParse - which is the 2026 version of RAG over documents

Generalized agents need the right set of tools to scalably search and read through an arbitrary corpus of data (from 10 docs to 1m+ docs). They can already demonstrate great retrieval performance over a local filesystem, need a proper backend for a large collection of managed data. The Retrieval Harness exposes a diverse set of tools for various needs:

1. Hybrid Retrieval: Combine vector search with keyword search, let the agent set the alpha value to toggle between the two 2. List Files: a scalable version of `ls` to list files within an index 3. File Grep: enable regex search within a given file 4. File Read: Allow agents to read a subsection from an existing document.

The agent can choose to interleave any sequence of these tools in order to complete a variety of tasks, from simple to hard.

Come check it out!

Blog: https://www.llamaindex.ai/blog/announcing-retrieval-harness?utm_medium=socials&utm_source=twitter&utm_campaign=2026-jun-

LlamaIndex 🦙@llama_index

Semantic search alone doesn't cut it. Neither does brute-force grep. Agents need both.

Today we're shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️

Grep a file, list what's in an index, read past a chunk boundary, run hybrid search with reranking — all as native agent tools.

Now in beta across all paid tiers. Full breakdown in the blog 👇

Learn More: https://www.llamaindex.ai/blog/announcing-retrieval-harness?utm_medium=socials&utm_source=twitter&utm_campaign=2026-jun-

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