RAG-LCC

v0.4.2 Feature

This release adds 5 notable features for engineering teams evaluating rollout.

Published 8d RAG & Retrieval

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

chunking context-windows experimental hybrid-search information-retrieval llm

+11 more

local-rag local-raglist multi-turn-chat ollama open-webui rag-pipeline research-tool retrieval-augmented-generation retrieval-augmented-generation-rag vllm web-search

Summary

AI summary

Added web search modes, document text grounding, vLLM provider support, dev container integration, and an installation wizard.

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Low	Adds Web Search Mode with combined and standalone options Adds Web Search Mode with combined and standalone options Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds text grounding to document passages for response verification Adds text grounding to document passages for response verification Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds vLLM provider support as an LLM option Adds vLLM provider support as an LLM option Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds dev container support for consistent onboarding environments Adds dev container support for consistent onboarding environments Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds guided installation wizard in setup.py for Windows, Unix, and Docker Adds guided installation wizard in setup.py for Windows, Unix, and Docker Source: llm_adapter@2026-07-19 Confidence: high	—
Bugfix	Medium	Includes numerous bug fixes and stability improvements across the platform Includes numerous bug fixes and stability improvements across the platform Source: llm_adapter@2026-07-19 Confidence: high	—

Full changelog

This is my work in the past two months, bringing new capabilities alongside numerous bug fixes, stability improvements, and quality-of-life enhancements.

✨ Highlights

🌐 Web Search Mode

Introduce web-powered retrieval with flexible operation modes:
Combined Web Search + local RAG retrieval
Web Search only mode for internet-focused research

📑 Text Grounding in Documents

Generated responses can now be grounded directly to document passages, making it easier to verify information and understand where answers come from.

⚡ vLLM Provider Support

Added support for vLLM as an LLM provider.

🛠️ Dev Container Support

Support for development containers, making onboarding and environment consistency significantly easier across teams.

📝 Related project

You may also be interested in HarinezumIgel-LLM-Stack, > a companion project for orchestrating LiteLLM and vLLM.

harinezumigel-llm-stack

📦 Guided Installation

A new setup.py installation wizard helps users get started quickly:

Windows and Unix platforms
Docker deployments
Native host installations

🔧 Additional Improvements

This release also includes numerous bug fixes, smaller enhancements, and overall stability improvements across the platform.

View diff on GitHub

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RAG-LCC

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