About RAG & Retrieval Platforms
The RAG & Retrieval Platforms category is part of the AI Memory & Context market map, tracking 14 companies building in this segment. Long-term memory systems, persistent context windows, retrieval-augmented memory, and personalization layers giving AI continuity across sessions and tasks. Curated by Hartmann Capital's venture research team.
Companies in RAG & Retrieval Platforms
- Vectara — Series A, $53.5M
- Contextual AI — Series A, $100M
- Ragie — Seed, $5.5M
- LlamaIndex — Series A, $19M
- LangChain — Series B, $35M
- Hebbia — Series B, $130M
- Unstructured — Series B, $65M
- Reducto — Series A, $24M
- Embedchain — Open Source
- Metal — Seed, $3.6M
- Trieve — Seed, $5.2M
- Anote — Pre-Seed, $3.2M
- Sciphi — Seed
- Superpowered AI — Seed
Frequently Asked Questions
- What companies are in the RAG & Retrieval Platforms category?
- The RAG & Retrieval Platforms category includes 14 companies: Vectara, Contextual AI, Ragie, LlamaIndex, LangChain, Hebbia, Unstructured, Reducto, Embedchain, Metal, Trieve, Anote, Sciphi, Superpowered AI. This is part of the AI Memory & Context market map maintained by Hartmann Capital.
- How many RAG & Retrieval Platforms startups are tracked?
- Hartmann Capital tracks 14 companies in the RAG & Retrieval Platforms segment of the AI Memory & Context market map.
- What are the best funded RAG & Retrieval Platforms companies?
- Top funded companies in RAG & Retrieval Platforms include Hebbia ($130M), Contextual AI ($100M), Unstructured ($65M), Vectara ($53.5M), LangChain ($35M). Browse the full list in the AI Memory & Context market map.
- How can I submit my startup?
- You can submit your startup for inclusion by visiting the submission page. Submissions are reviewed by Hartmann Capital's research team.