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#rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain. Here's What I Learned

Strict offline constraints drive practical lessons
josaphatstar profile

I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain. Here's What I Learned

#rag #langchain #python #ollama
6
Comments 9
7 min read
How to Build a RAG Knowledge Base from Any Documentation Site in 5 Minutes
codefather profile

How to Build a RAG Knowledge Base from Any Documentation Site in 5 Minutes

#rag #llm #python #ai
Comments
2 min read
How to move from an LLM demo to a production-ready healthcare AI agent
kajol_shah profile

How to move from an LLM demo to a production-ready healthcare AI agent

#ai #architecture #healthcare #rag
Comments
6 min read
Where Does RAG Actually Cost You Money? (Episode 4)
surajrkhonde profile

Where Does RAG Actually Cost You Money? (Episode 4)

#ai #rag #productivity #computerscience
4
Comments 2
9 min read
KoutenDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries
puffball1567 profile

KoutenDB v0.6.0: Locality Validation, Topology Remapping, and Safer Query Boundaries

#database #ai #rag #nim
Comments
4 min read
Enforcing RAG access control inside the retrieval query, not after it
royalpinto007 profile

Enforcing RAG access control inside the retrieval query, not after it

#rag #ai #python #security
1
Comments 1
4 min read
Embedding Model Selection for Production: The Decision Nobody Documents
aloknecessary profile

Embedding Model Selection for Production: The Decision Nobody Documents

#ai #rag #embeddings #architecture
Comments
3 min read
RAG vs Fine-Tuning: Which One Does Your Business Actually Need?
sraurora profile

RAG vs Fine-Tuning: Which One Does Your Business Actually Need?

#ai #rag #llm #genai
1
Comments 2
4 min read
I spent 10 years building enterprise search for clients. Then I open-sourced all of it.
alegauss profile

I spent 10 years building enterprise search for clients. Then I open-sourced all of it.

#opensource #ai #rag #selfhosted
2
Comments
3 min read
Why I Kept Search Scope Inside a Single Supabase RPC
romiteld profile

Why I Kept Search Scope Inside a Single Supabase RPC

#supabase #postgres #pgvector #rag
Comments 2
8 min read
Fix Your Search, Fix Your RAG Output
jon_handler_9bb3e6b4a2fd0 profile

Fix Your Search, Fix Your RAG Output

#opensearch #search #ai #rag
1
Comments
6 min read
Building a Free AI PDF Assistant: How I Solved Parsing Issues and Minimized LLM Costs
yue7090 profile

Building a Free AI PDF Assistant: How I Solved Parsing Issues and Minimized LLM Costs

#showdev #ai #llm #rag
Comments
3 min read
Vector Split by Chunk: Why My Retrieval Stops at the Boundary I Drew
romiteld profile

Vector Split by Chunk: Why My Retrieval Stops at the Boundary I Drew

#embeddings #rag #vectorsearch #supabase
Comments
7 min read
Adding streaming to my RAG pipeline — three SDKs, three different APIs
santanu_mohanta_29 profile

Adding streaming to my RAG pipeline — three SDKs, three different APIs

#rag #python #ai #fastapi
Comments
5 min read
PDF Parsing Is the Hidden Bottleneck in Your RAG Pipeline
edwardyun profile

PDF Parsing Is the Hidden Bottleneck in Your RAG Pipeline

#rag #llm #python #ai
Comments 1
3 min read
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