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Resources

There are a number of resources and tools to be aware of and make use of. With every single day more and more appear, so this is an always evolving list. Here's the most important ones to know.

For simplicity, they are divided up in following categories.

BUILDBUY
DevTools to use when buildingReady-made products to buy
LLMsRAGaaS
FrameworksEnterprise Search
Memory LayersEnterprise Search on top of LLMs
Vector Databases
Graph Databases

Let's dive in.

🚧 Build​

LLMs​

  1. OpenAI / ChatGPT
  2. Anthropic / Claude
  3. Google / Gemini
  4. Meta / Llama
  5. DeepSeek

Vector Databases​

  1. Weaviate
  2. Pinecone
  3. Milvus

Graph Databases​

  1. Memgraph
  2. Neo4j
  3. FalkorDB
  4. DGraph

💰 Buy​

RAGaaS​

RAGaaS or RAG-as-a-Service are horizontal equivalents to vertical semantic search and unstructured data transformation companies. They offer the ability to query unstructured data sources like PDFs, extract data, and input results into a more structured database or system of record.

  1. Ragie.ai
  2. Nuclia.com
  3. Danswer
  4. Gradient

Enterprise Search companies offer an end to end solution. They offer semantic querying for indexing and retrieving conceptually relevant documents in order to better manage organization-wide knowledge and break down enterprise data silos. It's a black box product. Take it or leave it based on what they built and envisaged.

  1. Glean
  2. Sana
  3. Writer
  4. DevRev
  5. 42maru

Enterprise Search on top of LLMs​

In a classic sense, LLMs are standalone B2C products for Q&A to consumers. But, some have added on more capable and serious RAG offerings on top of their basic B2C products.

  1. Perplexity Enterprise
  2. ChatGPT Enterprise
  3. Google NotebookLM Plus