Thinking Machines open sources first multimodal language model, Inkling, focused on low cost and 'resistance to censorship'

An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, ...
VentureBeat

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
GitHub

WARCIO: WARC (and ARC) Streaming Library

This library provides a fast, standalone way to read and write WARC Format commonly used in web archives. Python 3.7+ (minimally only needing six as an external dependency) warcio supports reading and ...
GitHub

Proof-of-concept exploit for CVE-2025-55315 (.NET HTTP Request Smuggling). Demonstrates how improperly parsed chunked encoding lets attackers smuggle requests past proxies and ...

Dockerfile.vulnerable - Uses .NET 10.0.100-rc.1 (vulnerable to CVE-2025-55315) Dockerfile.patched - Uses .NET 10.0.100 (patched version) PythonProxy - Vulnerable proxy used for CVE-2025-55315 exploit ...
InfoWorld

Using PostgreSQL as a vector database in RAG

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
unite

Power of Rerankers and Two-Stage Retrieval for Retrieval Augmented Generation

When it comes to natural language processing (NLP) and information retrieval, the ability to efficiently and accurately retrieve relevant information is paramount. As the field continues to evolve, ...