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BirdNest Tech Talk

Author of the rpcx microservice framework, original book author, and chair of Baidu's Go CMC committee.

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Recent Articles

Latest from BirdNest Tech Talk

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BirdNest Tech Talk
BirdNest Tech Talk
Oct 24, 2025 · Backend Development

Bridging Go and Python with pyproc: Ultra‑Low‑Latency Interprocess Calls

This article introduces pyproc, a library that lets Go applications invoke Python functions via Unix Domain Sockets with sub‑45 µs latency, explaining the problem of mixing Go and Python ecosystems, the architecture, performance benefits, suitable use cases, and a step‑by‑step quick‑start guide with full code examples.

AI InfrastructureGoInterprocess Communication
0 likes · 7 min read
Bridging Go and Python with pyproc: Ultra‑Low‑Latency Interprocess Calls
BirdNest Tech Talk
BirdNest Tech Talk
Oct 21, 2025 · Artificial Intelligence

How Vector Stores Enable Lightning‑Fast Semantic Search in LangChain

This article explains what vector stores are, outlines their core workflow of adding, querying, and searching embeddings, compares popular back‑ends like FAISS, Chroma, and Pinecone, and walks through a complete Chinese‑language example using LangChain’s FAISS integration with detailed code and result analysis.

AIFAISSLangChain
0 likes · 10 min read
How Vector Stores Enable Lightning‑Fast Semantic Search in LangChain
BirdNest Tech Talk
BirdNest Tech Talk
Oct 20, 2025 · Artificial Intelligence

How Embedding Models Power Semantic Search: A Hands‑On LangChain Guide

This article explains what embeddings are, how LangChain’s Embeddings interface abstracts various providers, compares common models, and walks through a complete Python example that uses a Chinese‑optimized HuggingFace model to generate document and query vectors, compute cosine similarity, and identify the most relevant text.

LangChainNLPPython
0 likes · 9 min read
How Embedding Models Power Semantic Search: A Hands‑On LangChain Guide
BirdNest Tech Talk
BirdNest Tech Talk
Oct 17, 2025 · Artificial Intelligence

How to Extend Claude with Custom Agent Skills Using SKILL.md

Claude’s new Agent Skills let developers package domain expertise into organized SKILL.md files and resource folders, enabling progressive disclosure, code execution, and scalable context loading, with detailed guidance on structure, bundling, evaluation, and security considerations for building robust, reusable AI agents.

AI AgentsAgent SkillsClaude
0 likes · 11 min read
How to Extend Claude with Custom Agent Skills Using SKILL.md
BirdNest Tech Talk
BirdNest Tech Talk
Oct 16, 2025 · Artificial Intelligence

Mastering Text Splitting in LangChain: From Theory to Code

This guide explains why large documents must be broken into semantic chunks for LLMs, introduces core parameters like chunk_size and chunk_overlap, compares LangChain's various splitters, and walks through a complete Python example that loads a long text, configures a RecursiveCharacterTextSplitter, and inspects the resulting chunks.

EmbeddingLangChainRAG
0 likes · 9 min read
Mastering Text Splitting in LangChain: From Theory to Code
BirdNest Tech Talk
BirdNest Tech Talk
Oct 12, 2025 · Artificial Intelligence

What Happens When a Token Travels Through GPU Villages via RDMA and NVLink?

The article uses a whimsical journey to illustrate how token data is dispatched across GPU clusters—detailing functions like get_dispatch_layout, notify_dispatch, and combine_token, showing RDMA and NVLink pathways, performance experiments, and the final verification of token integrity.

AIDistributed SystemsGPU
0 likes · 5 min read
What Happens When a Token Travels Through GPU Villages via RDMA and NVLink?
BirdNest Tech Talk
BirdNest Tech Talk
Oct 11, 2025 · Artificial Intelligence

How to Load Documents into LangChain: From Files to APIs

Learn how to use LangChain's Document Loaders to import data from files, web pages, databases, and APIs, understand the Document object structure, compare load() versus lazy_load(), and follow a step‑by‑step Python example that demonstrates loading, inspecting, and optionally processing documents with an LLM.

Document LoaderLLMLangChain
0 likes · 12 min read
How to Load Documents into LangChain: From Files to APIs