LM-Kit
Private AI for documents, agents, RAG and search
Ranked #4 in Best RAG platforms.
LM-Kit offers a private AI application server and an embedded runtime for .NET. These products enable local document intelligence, search, and agent capabilities without cloud dependency.
At a glance
| Best for | Teams handling sensitive data requiring local processing |
From LM-Kit's own website.
Company facts
| Social profiles | LinkedIn, GitHub |
| Brand colour | #14101e |
Facilities and features
Its website also mentions:
- Published pricing
- API
- Integrations
What stands out
LM-Kit serves OpenAI, Anthropic and Ollama API dialects for easy integration.
“LM-Kit One serves the OpenAI, Anthropic and Ollama dialects plus MCP, so existing clients and coding agents connect by changing a base URL.”LM-Kit, own website
The AI tool extracts structured data with per-field confidence scores.
“Turn documents into validated, structured data PDFs, scans and photos become schema-valid records,”LM-Kit, own website
How it ranks
LM-Kit is ranked 4th of 10 in Best RAG platforms (Lister Score 88.0).
#4 in Best RAG platforms · Lister Score 88.0
Serves OpenAI, Anthropic and Ollama API dialects for easy integration.
How the score is made up: fit to this ranking's criteria 40; evidence on its own site 20; how complete its published information is 16; buying information on its own site 12.
“Multi-tenant collections with hybrid semantic and full-text search, reranking, and chat grounded in your documents with citations. One · search, rerank and vector-store APIs .NET · LMKit.Retrieval, vector DB connectors”LM-Kit, own website
| Rank | Best RAG platforms | Score |
|---|---|---|
| 1 | Pinecone | 94.0 |
| 2 | Ragie | 92.0 |
| 3 | Weaviate | 90.0 |
| 4 | LM-Kit | 88.0 |
| 5 | SiliconFlow | 88.0 |
| 6 | Supavec | 88.0 |
| 7 | RAGFlow | 86.0 |
| 8 | PrivateGPT | 82.0 |
| 9 | Babelscape | 80.0 |
| 10 | FloTorch | 76.0 |
Frequently asked questions
How does LM-Kit rank on Lister?
LM-Kit is ranked 4th of 10 in Best RAG platforms (Lister Score 88.0).