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Hi everyone, I'm building a local AI agent with Ollama and exploring dynamic PDF extraction. Since Ollama can't directly process PDFs, I'm extracting text and passing it via prompts. Should I use PDFPlumber, a vector database (RAG), or another approach for accurate document understanding? Guide me !

User seeks guidance on PDF processing methods for local AI agents built with Ollama, comparing approaches like PDFPlumber extraction, vector database RAG systems, and alternative techniques for accura

local-air-ollama

8 Jun 2026

Search: “rag”

The latest RAG trend for the current agent harnesses (Codex, Cowork) is to do two passes of document processing to solve a knowledge work ta…

Reduce RAG costs on Amazon Bedrock with query-aware compression

DSPrompt: Dynamic Soft Prompt Defense Against M-RAG Corruption

SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling

Qdrant and Minima Deliver 2.92x More Agentic RAG Tasks per GPU-Hour

QV-PIC: Query-Aware Visual Position-Independent Caching for Efficient RAG Serving

RAG-3DSG: Enhancing 3D Scene Graphs with Re-Shot Guided Retrieval-Augmented Generation

RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction

SAGE: SLO-Aware Adaptive Retrieval for Production RAG Systems

Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law

What Would Fix This RAG Failure? Auditing Counterfactual Response with Paired Evidence Interventions

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

Where Privacy Risk Lives in English-Source Multilingual RAG: A Stage-Decomposed Audit Across Five Query Languages

Before Reasoning Can Fail: Pre-Evidence Procedural Failures in Agentic RAG

Xberg v1: a local, CPU-only document extraction engine for feeding an Ollama RAG (101 formats, OCR)

Fine-tune your own embedding model for the price of a coffee. A great reranker can't surface a doc that was never retrieved. A RAG pipeline …

JKO-RAG: Distributional Retrieval as Wasserstein Free-Energy Gradient Flow

ScalableRAG: High-Quality RAG at Zero Ingestion Cost

Three Sides of Retrieval: Factorial Evidence for Document-Side, Query-Side, and Answer-Side Complementarity in RAG

Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS

Built a local RAG app that answers questions from your own PDFs, fully offline

I built an open-source RAG chatbot starter that runs fully locally with Ollama (FastAPI + ChromaDB)

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent

Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG

What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It

Happy Canada Day! 🇨🇦 AI, ML, RAG, and LLMs are a pretty niche space overall. But, I'm consistently impressed with the talent that Canada s…

Beyond the Reranker: Do RAG Retrieval Enhancements Help Once a Strong Reranker Is Present?

Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts

Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAG

The Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG

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

Lots of advances coming from the open source harness movement (including Moltbook, RAG approaches back in the day, etc.) but they depend on …

Quantifying Prior Dominance in RAG Systems

End-to-End RAG Workflow: How Retrieval Augmented Generation Works

One of the better agentic AI courses I've seen Nearly 10 hours of great content. Covers LangChain, LangGraph, RAG, deepagents, guardrails, a…

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track

Agent filesystems are the new RAG It seems like this pattern is around to stay and will only get more robust over time. Agents need tools to…

The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

Your AI chatbot is only as good as the data behind it. This n8n template from our friends at @apify shows you how to wire up a RAG pipeline …

When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG

PrivateGPT is back! In 2023, it became the first offline RAG implementation and a breakout open source project. Then we went quiet in 2024. …

UniD^3: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning

Retriever Portfolios: A Principled Approach to Adaptive RAG

Analyzing Quality-Latency-Resource Trade-offs in a Technical Documentation RAG Assistant Using LoRA Adaptation