Create Collection
Spin up a searchable knowledge base.
Build smarter agents
Loomweft lets AI agents retrieve relevant context from apps and databases. It is the context retrieval layer that sits between AI systems and data sources, enabling grounded and accurate answers on demand.
from loomweft import LoomweftSDK
client = LoomweftSDK(api_key="lw-YOUR_KEY")
print(client.search("collection_id", "latest customer tickets"))
Trusted by engineering teams building the future
Loomweft is a context retrieval layer for AI agents and RAG systems. It connects to apps, tools, and databases, syncs their data in real time, and exposes it through a unified search interface.
This enables AI systems to reliably retrieve grounded, up-to-date information from real data sources on demand via an LLM-friendly interface.
Al agents and RAG systems depend on high-quality retrieval, but enterprise data is fragmented, dynamic, and hard to access. Loomweft exists to make context and information retrieval reliable and reusable, so teams don't have to rebuild fragile retrieval pipelines for every agent or application.
HOW LOOMWEFT WORKS
How Loomweft Works
Loomweft sits between your data sources and Al systems, acting as shared retrieval infrastructure.
Add Sources
Sync data from apps, docs, and databases with ready-to-use connectors.
Supercharge Your Agent
Your agent queries Loomweft in natural language and gets accurate, grounded answers instantly.
PRODUCT
From integration complexity to intelligent search in minutes
Powerful Search
Unblocks agents by letting them find the right answers across apps and formats. Loomweft empowers agents with semantic, keyword, hybrid, time-aware, and agentic search with intent, context, and understanding of complex relationships and interdependencies.
Real-time Data Sync
Agents always see current information. No stale snapshots. No manual refreshing.
Prebuilt Connectors
Pick from a growing catalog of over 50 data sources. Configure once and let Loomweft handle auth and sync.
Framework Friendly
Drop Loomweft into LangChain, Composio, Pipedream, or your custom agent stack. Five minutes from install to first answer.
Open Source Philosophy
Trust and transparency are our core tenants. Loomweft is built in the open and improved by the community.
PRICING
From passion project to scalable solution
Developer
Free
Perfect for personal agents and side projects. No credit card required. 10 source connections · 50 queries / mo · 50K entities synced / mo · Community Support
START FOR FREEPro
$16/mo
Take your agent to the next level. 50 source connections · 500 queries / mo · 100K entities synced / mo · 2 team members · Email support
START BUILDINGStartup
$239/mo
For fast-moving teams that need scale and control. 1000 source connections · 5K queries / mo · 1M entities synced / mo · 10 team members · Dedicated Slack support · Dedicated onboarding
START BUILDINGEnterprise
Custom
Unlimited source connections · Custom usage limits · Tailored onboarding · Dedicated priority support · Optional: Custom integrations, On-prem deployment, SSO, RBAC, SLAs
BOOK A CALLReady to build smarter agents?
FROM THE FRONTLINES
Insights from the AI infrastructure frontlines
Read the blog · START LEARNING — Loomweft Academy: technical guides on context retrieval, AI agents, and building smarter systems.
Frequently Asked Questions
01 What is Loomweft?
Loomweft is a context retrieval layer that lets AI systems retrieve relevant context from apps and databases. It connects to data sources, syncs information, and exposes it through a unified search interface so AI systems can retrieve up-to-date, source-grounded context when needed.
02 Where does Loomweft sit in the AI stack?
Loomweft sits between AI systems and data sources. It acts as shared context retrieval infrastructure that AI agents and RAG pipelines can query to access information across multiple apps and databases.
03 How is Loomweft different from traditional RAG setups?
Traditional RAG pipelines are often built per application and rely on static embeddings. Loomweft provides a shared context retrieval layer that continuously syncs data from source systems and can be reused across multiple AI agents and applications.
04 Why use a unified context retrieval layer instead of connecting data sources individually?
Connecting data sources individually often leads to custom, brittle integrations that are hard to maintain. Loomweft connects to apps and databases once and exposes them through a unified search interface that AI systems can reuse across agents and applications.
05 How does Loomweft keep context up to date?
Loomweft continuously syncs data from connected apps and databases and makes it available at query time. This allows AI systems to retrieve current, source-grounded context instead of relying on static embeddings that quickly fall out of date.
06 What applications and data sources can Loomweft connect to?
Loomweft connects to common enterprise apps, databases, and document stores, including CRMs, cloud drives, knowledge bases, and data warehouses. The full list of supported sources is available in the documentation.
07 Who is Loomweft for?
Loomweft is for developers and teams building AI agents, RAG systems, or other AI-powered applications that need reliable access to information across multiple tools and data sources.
08 Is Loomweft open source?
Yes. Trust and transparency are our core tenants. Loomweft is built in the open and improved by the community.