Public catalog
rag-retrieval
43 shown. Search ranks against problem language; browsing defaults to stronger public signals.
open-webui
self-host ChatGPT-like UI over local models
Verified 2026-08-10 · 27,370 stars
qdrant
self-hosted vector search for embeddings
Verified 2026-08-10 · 16,001 stars
meilisearch
typo-tolerant open-source search engine
Verified 2026-08-10 · 13,934 stars
chroma
local vector database for RAG embeddings
Verified 2026-08-10 · 13,712 stars
dspy
optimize LLM prompts and pipelines programmatically
Verified 2026-08-10 · 12,108 stars
llama-index
RAG index from documents
Verified 2026-08-10 · 11,904 stars
faiss
in-process similarity search over embeddings
Verified 2026-08-10 · 10,735 stars
typesense
typo-tolerant search engine for product catalogs
Verified 2026-08-10 · 6,614 stars
text-embeddings-inference
use text-embeddings-inference for rag retrieval
Verified 2026-08-10 · 2,251 stars
Zep
agent needs long-term memory across sessions
Verified 2026-08-10 · 2,203 stars
TruLens
need offline evals for LLM app quality
Verified 2026-08-10 · 1,647 stars
FastEmbed
need fast local embeddings without heavy torch
Verified 2026-08-10 · 1,000 stars
FlashRank
use FlashRank for rag retrieval
Verified 2026-08-10 · 991 stars
chonkie
chunk documents for RAG without destroying structure
Verified 2026-08-10 · 611 stars
Qdrant Client
Python client for self-hosted Qdrant vectors
Verified 2026-08-10 · 572 stars
express-session
use express-session for rag retrieval
Verified 2026-08-10 · 399 stars
Open WebUI Pipelines
extend Open WebUI with filter pipelines
Verified 2026-08-10 · 206 stars
connect-redis
use connect-redis for rag retrieval
Verified 2026-08-10 · 106 stars
Batched
batch embedding requests to cut API cost
Verified 2026-08-10 · 1 stars
AnythingLLM
stand up private document chat without assembling a RAG stack
Verified 2026-08-10
EmbedAnything
I need to create local embeddings from a PDF without building separate ingestion code.
Verified 2026-08-10
Embedchain
prototype document ingestion and question answering with minimal glue
Verified 2026-08-10
flag-embedding
use flag-embedding for rag retrieval
Verified 2026-08-10
GraphRAG
find relationships among entities and themes across a research corpus
Verified 2026-08-10
Haystack
compose typed retrieval and generation components into a pipeline
Verified 2026-08-10
Langchain-Chatchat
You must offer chat Q and A over internal documents and can configure the entire pipeline to use local inference frameworks, local models, and local stores so document-derived content stays on your infrastructure
Verified 2026-08-10
mcp-youtube-transcript
give an MCP client timestamped YouTube transcript text
Verified 2026-08-10
NotebookLM MCP Server
Your agent needs cited, grounded answers from Google NotebookLM notebooks but NotebookLM offers no public API
Verified 2026-08-10
Open Notebook
open-source notebook LM style research notes
Verified 2026-08-10
open-science
use open-science for rag retrieval
Verified 2026-08-10
OpenInference
standardize LLM span attributes across frameworks
Verified 2026-08-10
pdf-brain
Your research papers, books, and Obsidian notes are scattered across folders and you want one semantically searchable knowledge base without paying for embedding APIs
Verified 2026-08-10
pgvector
Your application data already lives in Postgres and you need nearest neighbor search over embeddings without operating a separate vector database
Verified 2026-08-10
PrivateGPT
run document question answering without sending files to a hosted service
Verified 2026-08-10
Qwen3-VL-Embedding & Reranker
You need to search a corpus of images, screenshots, PDF page renders, or videos with natural language queries in one shared vector space
Verified 2026-08-10
ragatouille
use ragatouille for rag retrieval
Verified 2026-08-10
SemTools
You want to grep a folder of text or markdown files by meaning rather than exact keywords, straight from the terminal without standing up a vector database
Verified 2026-08-10
Sentence Transformers
local embedding models for semantic search
Verified 2026-08-10
SQLite-Vector
A mobile or edge app needs offline semantic search over embeddings and running a separate vector database server is not an option
Verified 2026-08-10
txtai
add semantic search to a Python dataset with a small API
Verified 2026-08-10
UltraRAG
You are prototyping iterative RAG logic with loops and conditional branches and writing the orchestration code by hand is dominating the work
Verified 2026-08-10
VectorChord
Your pgvector index build and query latency have become unworkable now that the table holds tens or hundreds of millions of embeddings
Verified 2026-08-10
Weaviate
Your semantic search corpus has outgrown an in-memory or embedded vector store and needs replication, horizontal scaling, and RBAC
Verified 2026-08-10