Updates and recent posts about LangChain..

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@anjali shared a link, 10 months, 3 weeks ago

Customer Marketing Manager, Last9

Stream AWS Metrics to Grafana with Last9 in 10 minutes

Visualize AWS metrics like Lambda, API Gateway, and RDS in Grafana using Last9. No agents, no code, set it up in under 10 minutes.

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@laura_garcia shared a post, 10 months, 3 weeks ago

Software Developer, RELIANOID

🌉 RELIANOID is heading to TECHSPO San Francisco 2025!

📅 July 21–22 | 📍 Grand Hyatt at SFO Where business, tech, and innovation collide. Join us to explore the future of: 🔹 Internet, Mobile, AdTech, MarTech, SaaS 🔹 Live demos & emerging technologies 🔹 Real conversations with real innovators Let’s talk secure, high-performance solutions — and how RELIANO..

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@viktoriia-yarosh shared a post, 10 months, 4 weeks ago

Freshcode

This One Programming Choice Completely Changed These Tech Firms—Here's How. Part 1

Clojure is more than just a programming language—it helps teams work smarter and build faster. Companies like Quuppa, CodeScene, Griffin, and Catermonkey have found that embracing their functional style and mindset lets them grow efficiently, even with smaller teams, and shared their experience in the "Clojure in Product. Would you do it again?" podcast by Freshcode.

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@anjali shared a link, 10 months, 4 weeks ago

Customer Marketing Manager, Last9

Enable Kong Gateway Tracing in 5 Minutes

Instrument Kong with OpenTelemetry for end-to-end API visibility, no code changes required.

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@anjali shared a link, 10 months, 4 weeks ago

Customer Marketing Manager, Last9

Kibana Logs: Advanced Query Patterns and Visualization Techniques

A practical guide to querying, filtering, and visualizing logs in Kibana, built for speed, scale, and real-world debugging workflows.

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@laura_garcia shared a post, 10 months, 4 weeks ago

Software Developer, RELIANOID

🔐 Strengthen Your MFA with Google Authenticator and RELIANOID

At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. ✅ Understand TOTP vs. HOTP ✅ Store secrets securely in AD/LDAP ✅ Guide to provisio..

2FA with AD_LDAP and Google Authenticator

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@laura_garcia shared a post, 10 months, 4 weeks ago

Software Developer, RELIANOID

🚀 New Release: RELIANOID 7.7 (Community Edition) is now available!

We're excited to bring you a powerful new version packed with essential features and improvements to boost your infrastructure’s flexibility, security, and performance: ✨ Key Highlights: VPN support for secure connectivity Full cloud integration: AWS, Azure, GCP Based on Debian Bookworm 12.11 New no..

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@faun shared a link, 10 months, 4 weeks ago

FAUN.dev()

How I found a bypass in Google's big anti-adblock update

Chrome's MV3 transition nixed adblockers, but a 2023 bug threw a surprise party for them by milking JavaScript bindings still lurking in the browser's API logic.Even after Google's patch in Chrome 118, this little glitch—once a golden ticket for adblockers—highlights how ancient code can birth absur.. read more

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@faun shared a link, 10 months, 4 weeks ago

FAUN.dev()

The hunt for a perfect laptop continues

Drowning in a sea of PC laptops, each promising the moon with only a whisper of difference? Choice paralysis kicks in hard. EnterApple and Framework.They cut through the chaos with sleek, straightforward lineups that don't make your eyes cross—proving less really is more... read more

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@faun shared a link, 10 months, 4 weeks ago

FAUN.dev()

Introduction to Digital Filters with Audio Applications

A comprehensive guide to digital filters, covering theory, design, and implementation across time and frequency domains. It starts with the simplest filters and builds toward advanced topics like state-space models, pole-zero analysis, and filter structures, with detailed examples using MATLAB, Faus.. read more

LangChain is a modular framework designed to help developers build complex, production-grade applications that leverage large language models. It abstracts the underlying complexity of prompt management, context retrieval, and model orchestration into reusable components. At its core, LangChain introduces primitives like Chains, Agents, and Tools, allowing developers to sequence model calls, make decisions dynamically, and integrate real-world data or APIs into LLM workflows.

LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.

Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.