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Update for various code changes
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README.md
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README.md
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@ -60,11 +60,13 @@ package installed can also run the entire architecture.
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chunking algorithm to produce smaller text chunks.
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- `embeddings-hf` - A service which analyses text and returns a vector
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embedding using one of the HuggingFace embeddings models.
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- `embeddings-ollama` - A service which analyses text and returns a vector
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embedding using an Ollama embeddings model.
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- `embeddings-vectorize` - Uses an embeddings service to get a vector
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embedding which is added to the processor payload.
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- `graph-rag` - A query service which applies a Graph RAG algorithm to
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provide a response to a text prompt.
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- `graph-write-cassandra` - Takes knowledge graph edges and writes them to
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- `triples-write-cassandra` - Takes knowledge graph edges and writes them to
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a Cassandra store.
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- `kg-extract-definitions` - knowledge extractor - examines text and
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produces graph edges.
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@ -80,15 +82,15 @@ package installed can also run the entire architecture.
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format. For instance, the wrapping of text between lines in a PDF document
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is not semantically encoded, so the decoder will see wrapped lines as
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space-separated.
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- `vector-write-milvus` - Takes vector-entity mappings and records them
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- `ge-write-milvus` - Takes graph embeddings mappings and records them
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in the vector embeddings store.
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## LM Specific Modules
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- `llm-azure-text` - Sends request to AzureAI serverless endpoint
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- `llm-claude-text` - Sends request to Anthropic's API
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- `llm-ollama-text` - Sends request to LM running using Ollama
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- `llm-vertexai-text` - Sends request to model available through VertexAI API
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- `text-completion-azure` - Sends request to AzureAI serverless endpoint
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- `text-completion-claude` - Sends request to Anthropic's API
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- `text-completion-ollama` - Sends request to LM running using Ollama
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- `text-completion-vertexai` - Sends request to model available through VertexAI API
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## Quickstart Guide
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@ -48,7 +48,6 @@ following `Docker Compose` files:
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**NOTE**: All tokens, paths, and authentication files must be set **PRIOR** to launching a `Docker Compose` file.
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#### AzureAI Serverless Model Deployment
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```
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@ -159,7 +158,7 @@ Similar output to above processes, except many entries instead.
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`Language Model Inference`:
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```
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docker logs trustgraph-llm-1
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docker logs trustgraph-text-completion-1
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```
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Output should be a sequence of entries:
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