Public catalog
Browse tools
25 shown. Search ranks against problem language; browsing defaults to stronger public signals.
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
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
mozilla-readability
extract main article text from messy HTML
Verified 2026-08-10 · 2,936 stars
text-embeddings-inference
use text-embeddings-inference for rag retrieval
Verified 2026-08-10 · 2,251 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
Pinecone Client
managed vector DB client for production RAG
Verified 2026-08-10 · 250 stars
openwiki
use openwiki for agent memory
Verified 2026-08-10 · 42 stars
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
MTEB (Massive Text Embedding Benchmark)
You must choose an embedding model for retrieval, classification, or clustering and want reproducible benchmark scores on relevant tasks instead of vendor claims
Verified 2026-08-10
Open Notebook
open-source notebook LM style research notes
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
phoenix
local tracing eval UI for LLM agent pipelines
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
Sentence Transformers
local embedding models for semantic search
Verified 2026-08-10
unstructured
partition PDF HTML into structured elements
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